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AI Agents Find Exploits from Bug Rumors in Minutes, Shaking Open Source Security

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Originally published on Simon Willison's Weblog by Simon Willison

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AI Agents Find Exploits from Bug Rumors in Minutes, Shaking Open Source Security

Summary & Key Takeaways ​

  • AI coding agents are reportedly finding security exploits within minutes of patches being shared publicly.
  • This rapid discovery rate is incompatible with traditional open-source embargo practices for new issues.
  • Professor Anil Madhavapeddy demonstrated this using his own agents, even after Claude Fable refused the task.
  • The rclone project has seen a massive increase in security disclosures, from 20 in 10 years to over 40 in one month.
  • GitHub's CVE assignment process is now backlogged, taking weeks instead of days.
  • The effectiveness of AI in finding flaws necessitates new processes for community safety.

Our Commentary ​

This is genuinely unsettling. The idea that a "rumour of a bug" is enough for an AI to weaponize it in minutes? That's a paradigm shift for open-source security. We've always relied on a bit of a grace period, but that's gone now. I don't know how we adapt to this without fundamentally changing how we disclose and patch vulnerabilities. It feels like a race against the machines, and we're already behind.

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