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AI Coding Agents Exploit Open-Source Bugs Within Minutes of Patch

AI Coding Agents Exploit Open-Source Bugs Within Minutes of Patch

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Simon Willison

AI-powered coding agents are now capable of identifying and probing exploitable vulnerabilities in open-source software within minutes of a patch or advisory being publicly shared, fundamentally breaking traditional embargo-based disclosure practices. Security maintainers for projects including OCaml and rclone are reporting unprecedented surges in automated exploit attempts and vulnerability reports, with rclone seeing over 40 disclosures in a single month compared to 20 across its first decade. This development signals a systemic shift in the threat landscape where AI agents act as force multipliers for attackers, compressing the window between disclosure and active exploitation to near-zero.

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