The video highlights the growing issue of AI-generated false bug reports overwhelming cybersecurity maintainers, wasting valuable time and resources, while emphasizing that AI can still be a useful tool when guided by expert human oversight. It calls for responsible AI use in bug bounty programs, proposing measures like disclosure of AI usage and submission restrictions to balance AI’s benefits with the need for accurate, validated vulnerability reports.
The video discusses a troubling trend in the bug bounty community in 2025, centered around the misuse of AI in submitting bug reports. Daniel Stenberg, a core maintainer of the widely used curl command-line utility, has highlighted the growing problem of AI-generated “slop” bug reports—submissions that claim vulnerabilities which do not actually exist. These false reports are flooding platforms like HackerOne, where security researchers and companies collaborate to find and fix software vulnerabilities. While bug bounty programs are essential for improving software security, the influx of AI-generated fake reports is overwhelming maintainers and wasting valuable human resources.
The core issue with AI bug reports is that many are hallucinated or fabricated by AI tools, presenting vulnerabilities in code paths that either do not exist or are never executed. For example, a reported use-after-free vulnerability in libcurl was debunked because the AI had invented a code usage scenario that simply does not occur in the actual software. This forces maintainers like Daniel and his small security team to spend hours triaging and validating each report, diverting their attention from real security issues. The problem is exacerbated by the fact that about 20% of all bug submissions are now AI-generated slop, creating a denial-of-service effect on the maintainers’ time and energy.
Despite these challenges, the video acknowledges that AI can be a powerful tool for vulnerability research when used correctly by experienced security professionals. A notable example is Sean Heelan, who successfully used AI to discover a remote zero-day vulnerability in Linux’s SMB implementation. However, even in this case, the signal-to-noise ratio was very low, with only about 2% of AI-generated reports being valid. This highlights that while AI can assist in finding bugs, it requires careful human oversight and expertise to separate genuine vulnerabilities from AI hallucinations.
To address the problem, Daniel Stenberg and his team have proposed several measures for platforms like HackerOne. These include requiring bug reporters to disclose if AI was used in generating their submissions, restricting bug report submissions to high-reputation users to reduce spam, and potentially charging a fee for each bug report to discourage frivolous or fake submissions. While these solutions may help reduce the flood of AI slop, they also risk making bug bounty programs less accessible to newcomers, which could impact the broader security community negatively.
The video concludes with a call to action for bug bounty hunters and developers to use AI responsibly. AI should be a tool to assist in the research and development process, but the final responsibility lies with the human researcher to verify and validate any findings before submitting them. This approach ensures that maintainers like Daniel Stenberg are not overwhelmed with false reports and can focus on securing software effectively. The video emphasizes the importance of balancing AI’s potential benefits with the need for rigorous human judgment in cybersecurity.