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From what I've seen in the bounty-related subreddits, AI is flooding bug bounty inboxes with low-value or meaningless reports, or straight-up hallucinations when people use smaller models (to turn a profit, you make lots of low-value bug reports and see who pays out).

This has a negative effect on humans doing their work with or without LLMs: curl shut down their bounty program, and GitHub just announced they're "restructuring" theirs. The author of this post also makes a case that HackerOne hasn't been honest about LLM training and use, either to hackers or to their own staff.

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Didn't Daniel later report that curl recently started getting mostly high-quality LLM reports on their bounty program? I can imagine that there would definitely be a few "bounty spammers" trying to get hits, but it seems like most of them are doing good work.

I'd say instead that the problem is that a lot of people don't care anymore about the quality of the work being done, and LLMs are accelerating it. Bounty programs have shifted from ways for people to report security bugs to ways for people to try to make money.

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Doesn't that problem benefit from having automatic bug triage that can avoid fast tracking these bad reports?
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You’re surprised that workers don’t like their work being used to remove the need to pay them for it in the future? Your idea of time saved for the worker is for them to lose their livelihood without compensation
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I can understand coming down on either side of the question of whether these AI reports save or waste time. I cannot understand being surprised or ignorant about the existence or high level beliefs of either side.
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