An autonomous security agent developed by depthfirst uncovered 21 previously unknown zero-day vulnerabilities in FFmpeg, the widely used open-source media processing library embedded in browsers, streaming services, surveillance products, and cloud workloads. Reported flaws span the TS demuxer, VP9 decoder, RTP depacketizers, RTSP server, and RTMP client, with multiple memory-corruption bugs and at least eight assigned CVEs. The most severe issue, DFVULN-127, is a heap buffer overflow in FFmpeg’s AV1 RTP depacketizer that researchers said could enable remote code execution through a single 183-byte RTP packet delivered over RTSP, without authentication or user interaction.
The FFmpeg findings were disclosed alongside Chrome 149, which fixed a record 429 vulnerabilities, including more than 100 critical or high-severity flaws and a severe ANGLE issue tracked as CVE-2026-10881 with a CVSS 9.6 score. Researchers said the FFmpeg bugs were found after an AI agent scanned roughly 1.5 million lines of C code, performed threat modeling, reachability analysis, and proof-of-concept generation, reportedly at a cost of about $1,000. The disclosures add to evidence that AI is sharply increasing the speed and volume of vulnerability discovery, while leaving defenders and maintainers under growing pressure to triage findings, patch exposed software, and review network-facing workflows that process untrusted RTSP/RTP media streams.

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Google recently changed its bug bounty process in response to a flood of AI-generated vulnerability submissions. The change was cited alongside the surge in AI-assisted vulnerability discovery affecting vendor triage and remediation workflows.
Google released Chrome 149 with a record 429 vulnerability fixes in a single release, including more than 100 critical or high-severity issues. Coverage highlighted a severe ANGLE flaw, CVE-2026-10881, with a CVSS score of 9.6.
Security startup depthfirst reported that its autonomous agent discovered 21 previously unknown zero-day vulnerabilities in FFmpeg, including memory corruption issues across multiple components and reproducible proof-of-concept inputs. The reporting said the agent analyzed roughly 1.5 million lines of C code and made the discoveries at an estimated cost of about $1,000.
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