ChatGPT's o3 Model Found Remote Zeroday in Linux Kernel Code

Not quite, though. In the blogpost the pentester notes that it found a similar issue (that he overlooked) that occurred elsewhere, in the logoff handler, which the pentester noted and verified when spitting through a number of the reports it generated. Additionally, the pentester noted that the fix it supplied accounted for (and documented) a issue that it accounted for, that his own suggested fix for the issue was (still) susceptible to. This shows that it could be(come) a new tool that allows us to identify issues that are not found with techniques like fuzzing and can even be overlooked by a pentester actively searching for them, never mind a kernel programmer.

Now, these models generate a ton of false positives, which make the signal-to-noise ratio still much higher than what would be preferred. But the fact that a language model can locate and identify these issues at all, even if sporadically, is already orders of magnitude more than what I would have expected initially. I would have expected it to only hallucinate issues, not finding anything that is remotely like an actual security issue. Much like the spam the curl project is experiencing.