TheAwesomenESQ My line of thinking was based on the amount of brilliant explanations, technical overviews and workarounds for questions within the forum.
If this data is extracted, all it takes is a chat query where the response could cite "according to GOS forum......." and directly point to the solution instead of hours of manual research.
If that would work, it could be great! Honestly, I think some people may be a little worn out from answering the same questions over and over roughly weekly (e.g., "If I install Play Services, doesn't that defeat the whole purpose of installing GrapheneOS?"). If a chat bot could spit out an engaging, breezy answer that could be great -- as long as the answers were engaging, breezy, and accurate.
TheAwesomenESQ Therefore could be potentially reverse engineered to create vulnerabilities based on the answers given.
I don't think this forum has a lot of content about how to exploit GrapheneOS, so it's not clear what would serve as the basis of the "reverse engineering". I think most people who uncover a vulnerability in GrapheneOS will either disclose it responsibly to the developer team or sell the vulnerability to Cellbrite/XRY etc.
TheAwesomenESQ Maybe my concerns are too hypothetical and far from reality.
- Is it possible to identify some actual posts on this forum that could be "reverse engineered" into an attack?
- Or is it possible to identify "reverse-engineerable" public posts on some other forum for some other project?
If there is an absence of concrete examples, that would align with the definition of "hypothetical".
There are programs that analyze source-code changelogs to uncover vulnerabilities and craft attacks. Here is a paper from 2008 (long before LLMs) on that topic: Brumley, Poosankam, Song, and Zheng, Automatic Patch-based Exploit Generation, IEEE Symposium on Security and Privacy, May 2008. Open-source code bases are vulnerable to this sort of analysis because the changes are public, but closed-source code bases are vulnerable too, because there are tools to compare a new executable against an old one and reverse the relevant code back into source code, which can then by analyzed by source-based tools.
What to do?
- Try to run code bases with fewer vulnerabilities rather than more,
- Patch quickly!