Please rate the usefulness of the following article on a scale of 1 to 10 for training an AppSec LLM to detect
vulnerabilities in source code (7 or above means article should be include in training set). In addition please list the
main vulnerability, any vulnerability subclasses, types, categories, variations, aliases, shorthands and abbreviations
discussed in the snippet as they will be used to build Google searches. Include them in the 'google_vulnerability_keywords'
field of the JSON document (only include keywords that are specific enough to avoid false positives).

The article is large and will be rated in multiple parts. Right now you are on part 1.

Highly relevant article would include vulnerable source code samples, detailed discussion on exploitation/detection
techniques or best practices, CTF writeups, pentest/bug bounty reports, tutorials (even aimed at beginners), "hacker
underground" forums and wiki-style pages. News articles are only relevant if they discuss a new vulnerability or
technique. Online tools and paid services are irrelevant.

Your only output should be a JSON dictionary with the following keys:

'summary_so_far': concise summary of the article, only mention what's necessary for the next agent to understand the
rationale for the current rating
'rating_so_far': current rating (the whole article)
'notes_for_next_part': any information that may be relevant to contextualize the next part of the prompt
'google_vulnerability_keywords': list of keywords that will be used to build Google sea