Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Cross-Site Scripting (XSS) is one of the most common b application vulnerabilities. It is therefore sometimes referred to as the “buffer overflow of the b.” Drawing a parallel from the current state of practice in preventing unauthorized native code execution (the typical goal in a code injection),  propose a script whitelisting approach to tame JavaScript-driven XSS attacks. Our scheme involves a transparent script interception layer placed in the browser’s JavaScript engine. This layer is designed to detect every script that reaches the browser, from every possible route, and compare it to a list of valid scripts for the site or page being accessed; scripts not on the list are prevented from executing. To avoid the false positives caused by minor syntactic changes (e.g., due to dynamic code generation), our layer uses the concept of contextual fingerprints when comparing scripts.   Contextual fingerprints are identifiers that represent specific elements of a script and its execution context. Fingerprints can be easily enriched with new elements, if needed, to enhance the proposed method’s robustness. The list can be populated by the bsite’s administrators or a trusted third party. To verify our approach,  have developed a prototype and tested it successfully against an extensive array of attacks that re performed on more than 50 real-world vulnerable b applications.  measured the browsing performance overhead of the proposed solution on eight bsites that make heavy use of JavaScript. Our mechanism imposed an average overhead of 11.1p on the execution time of the JavaScript engine. When measured as part of a full browsing session, and for all tested bsites, the overhead introduced by our layer was less than 0.05p. When script elements are altered or new scripts are added on the server side, a new fingerprint generation phase is required. To examine the temporal aspect of contextual fingerprints,  performed a short-term and a long-term experiment based on the same bsites. The former, shod that in a short period of time (10 days), for seven of eight bsites, the majority of valid fingerprints stay the same (more than 92p on average). The latter, though, indicated that, in the long run, the number of fingerprints that do not change is reduced. Both experiments can be seen as one of the first attempts to study the feasibility of a whitelisting approach for the b.
['Dimitris Mitropoulos', 'Konstantinos Stroggylos', 'Diomidis Spinellis', 'Angelos D. Keromytis']
I am writing a research paper on a idea How to Train Your Browser: Preventing XSS Attacks Using Contextual Script Fingerprints
[{"from": "human", "value": "I am writing a research paper on a idea How to Train Your Browser: Preventing XSS Attacks Using Contextual Script Fingerprints"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Cross-Site Scripting (XSS) is one of the most common b application vulnerabilities. It is therefore sometimes referred to as the \u201cbuffer overflow of the b.\u201d Drawing a parallel from the current state of practice in preventing unauthorized native code execution (the typical goal in a code injection),  propose a script whitelisting approach to tame JavaScript-driven XSS attacks. Our scheme involves a transparent script interception layer placed in the browser\u2019s JavaScript engine. This layer is designed to detect every script that reaches the browser, from every possible route, and compare it to a list of valid scripts for the site or page being accessed; scripts not on the list are prevented from executing. To avoid the false positives caused by minor syntactic changes (e.g., due to dynamic code generation), our layer uses the concept of contextual fingerprints when comparing scripts.   Contextual fingerprints are identifiers that represent specific elements of a script and its execution context. Fingerprints can be easily enriched with new elements, if needed, to enhance the proposed method\u2019s robustness. The list can be populated by the bsite\u2019s administrators or a trusted third party. To verify our approach,  have developed a prototype and tested it successfully against an extensive array of attacks that re performed on more than 50 real-world vulnerable b applications.  measured the browsing performance overhead of the proposed solution on eight bsites that make heavy use of JavaScript. Our mechanism imposed an average overhead of 11.1p on the execution time of the JavaScript engine. When measured as part of a full browsing session, and for all tested bsites, the overhead introduced by our layer was less than 0.05p. When script elements are altered or new scripts are added on the server side, a new fingerprint generation phase is required. To examine the temporal aspect of contextual fingerprints,  performed a short-term and a long-term experiment based on the same bsites. The former, shod that in a short period of time (10 days), for seven of eight bsites, the majority of valid fingerprints stay the same (more than 92p on average). The latter, though, indicated that, in the long run, the number of fingerprints that do not change is reduced. Both experiments can be seen as one of the first attempts to study the feasibility of a whitelisting approach for the b."}]