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AI Agent Uncovers 21 Zero-Days in FFmpeg; Chrome Patches Record 429 Bugs
Two things landed within days of each other this week. A security startup reported 21 previously unknown vulnerabilities in FFmpeg, the media library inside almost everything that touches video, all of them found by an autonomous AI agent. The same week, Google shipped Chrome 149 with patches for 429 security bugs, the most ever in a single release. Only the FFmpeg bugs were found by AI. Chrome's record landed after Google overhauled its bounty program to cope with a flood of AI-generated reports. The mechanisms differ, but the pressure is the same: AI is putting more vulnerabilities in front of the people who have to deal with them, and faster than before. The FFmpeg findings come from depthfirst, whose autonomous security agent scanned the project's roughly 1.5 million lines of C and produced 21 confirmed zero-days, each with a reproducible proof-of-concept input. The company puts the cost of the run at around $1,000. Several of the bugs had been latent for 15 to 20 years; one stack overflow in the service-description-table code dates to 2003 and sat untouched for 23 years. Most are heap or stack overflows in parsers and demuxers, spanning components from the TS demuxer to the VP9 decoder. depthfirst says some already carry CVE identifiers; its writeup lists nine, CVE-2026-39210 through CVE-2026-39218, and notes the rest are fixed but not yet numbered. It also published a PoC. In separate news, Chrome 149 fixes 429 vulnerabilities, a record for a single release. Over 100 are critical or high severity, mostly use-after-free and insufficient input validation. The worst, CVE-2026-10881 (CVSS 9.6), is an out-of-bounds read and write in the ANGLE graphics engine that lets a crafted page escape the sandbox and run code on the host. Google paid $97,000 for it. The highest-severity bugs were mostly internal finds: of roughly 90 high-severity bugs, only 10 came from outside researchers, and 19 of the 22 critical ones were Google's own. The AI connection is more about volume than authorship. Google hasn't tied the 429 to AI; the on-record signal is the bounty overhaul it made in April, prompted by a flood of AI-generated submissions and now asking for a concise reproducer over the long writeups AI churns out. Google's Big Sleep agent reported a run of FFmpeg bugs last year, now visible on the project's security page tagged BIGSLEEP, and Anthropic's Mythos model pulled a 16-year-old H.264 flaw and others out of FFmpeg for about $10,000, three of which shipped in FFmpeg 8.1, per its own writeup. Days ago, another autonomous tool found an authenticated RCE in Redis that had been present since version 7.2.0, unnoticed for over two years. The research points the same way: a February study had an agent reproduce working PoCs for more than half of 100 real Linux kernel N-day bugs, beating fuzzing. For FFmpeg, pull the fixed upstream build or your distribution's security update as soon as it lands, and prioritize anything that ingests untrusted RTSP or AV1-over-RTP. FFmpeg is widely bundled in media pipelines, Python wheels, container images, and appliances, so do not stop at system packages; those embedded copies need patching too. For Chrome, update to 149.0.7827.53 on Linux or 149.0.7827.53/54 on Windows and macOS, or confirm auto-update has run. The response has to match the new pace: shorter patch cycles, auto-update wherever it exists, and dependency bumps that carry CVE fixes treated as security work, not routine maintenance. The hard part is shifting, though. Finding these bugs has gotten cheap; triaging the reports, shipping the fixes, and getting them installed has not, and much of that work still falls to volunteers and a thin layer of human triagers now expected to keep pace with machines.
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An AI agent found 21 zero-days in FFmpeg for $1,000. Chrome just patched a record 429 bugs.
A security startup's autonomous AI agent found 21 previously unknown vulnerabilities in FFmpeg, the open-source media library embedded in almost everything that touches video. The startup, depthfirst, says the run cost roughly $1,000 in compute. Some of the bugs had been hiding in the codebase for more than 20 years. Days later, Google shipped Chrome 149 with patches for 429 security bugs, the most ever in a single browser release. Over 100 are critical or high severity. The two events arrived independently, but they point in the same direction: AI is finding vulnerabilities faster than humans can fix them. Depthfirst's agent scanned FFmpeg's roughly 1.5 million lines of C and produced a reproducible proof-of-concept for each of the 21 zero-days. Most are heap or stack overflows in parsers and demuxers, spanning components from the TS demuxer to the VP9 decoder. One stack overflow in the service-description-table code dates to 2003. Nine already carry CVE identifiers (CVE-2026-39210 through CVE-2026-39218). The rest have been fixed upstream but not yet numbered. Depthfirst has published proof-of-concept code. FFmpeg is not new to AI-driven bug hunting. Google's Big Sleep agent reported a run of FFmpeg bugs last year. Anthropic's Mythos model pulled a 16-year-old H.264 flaw and others out of FFmpeg for about $10,000. Depthfirst claims to have done comparable work at a tenth of the cost. Chrome 149's record haul is a different story. Google has not attributed the 429 vulnerabilities to AI. But the company overhauled its bug bounty programme in April after a flood of AI-generated submissions, now asking researchers for concise reproducers instead of the long writeups AI tends to produce. The worst bug, CVE-2026-10881, scores 9.6 on the CVSS scale. It is an out-of-bounds read and write in the ANGLE graphics engine that lets a crafted page escape Chrome's sandbox and run code on the host. Google paid $97,000 for the report. Of the 22 critical bugs, 19 were found internally. The pattern keeps repeating. An autonomous tool recently found an authenticated remote code execution flaw in Redis that had gone unnoticed for over two years. A February study showed an AI agent could reproduce working exploits for more than half of 100 real Linux kernel bugs, beating traditional fuzzing. The hard problem is shifting. Finding these bugs has become cheap. Triaging the reports, shipping the fixes, and getting them installed has not. Much of that work still falls on volunteers and a thin layer of human triagers now expected to keep pace with machines. Mozilla patched 271 Firefox vulnerabilities found by Mythos in a single pass. The question is no longer whether AI can find the bugs. It is whether anyone can fix them fast enough.
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A security startup's autonomous AI agent found 21 previously unknown vulnerabilities in FFmpeg for roughly $1,000 in compute costs, some hiding for over 20 years. The same week, Google shipped Chrome 149 with patches for 429 security bugs, the most ever in a single release. The developments highlight how AI is accelerating vulnerability discovery faster than human teams can address them.
A security startup called depthfirst deployed an autonomous AI agent that discovered 21 previously unknown zero-days in FFmpeg, the open-source media library embedded in nearly every application that processes video
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. The AI agent scanned FFmpeg's roughly 1.5 million lines of C code and produced reproducible proof-of-concept inputs for each vulnerability, all for approximately $1,000 in compute costs2
. Several of these software vulnerabilities had been latent in the codebase for 15 to 20 years, with one stack overflow in the service-description-table code dating back to 2003—sitting untouched for 23 years1
.Most of the AI-discovered bugs are heap or stack overflows in parsers and demuxers, spanning components from the TS demuxer to the VP9 decoder
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. Nine vulnerabilities already carry CVE identifiers, numbered CVE-2026-39210 through CVE-2026-39218, while the remaining bugs have been fixed upstream but await formal numbering1
. Depthfirst has published proof-of-concept code demonstrating each flaw, underscoring the practical threat these vulnerabilities pose to systems ingesting untrusted media streams.
Source: Hacker News
The same week brought another milestone in vulnerability discovery: Google shipped Chrome 149 with patches for 429 security bugs, the highest count ever in a single browser release
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. Over 100 of these are critical or high severity, predominantly use-after-free and insufficient input validation flaws1
. The most severe, CVE-2026-10881 with a CVSS score of 9.6, is an out-of-bounds read and write in the ANGLE graphics engine that allows a crafted page to escape Chrome's sandbox and execute code on the host system2
. Google paid $97,000 for this critical report1
.While Google hasn't directly attributed the 429 vulnerabilities to AI, the company overhauled its bounty program in April after experiencing a flood of AI-generated reports
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. The revised program now requests concise reproducers instead of the lengthy writeups that AI systems typically generate2
. Of the 22 critical bugs patched, 19 were found internally by Google, while only 10 of roughly 90 high-severity bugs came from external researchers1
.FFmpeg is not new to AI in identifying software flaws. Google's Big Sleep agent reported multiple FFmpeg bugs last year, now visible on the project's security page tagged BIGSLEEP
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. Anthropic's Mythos model extracted a 16-year-old H.264 flaw and other vulnerabilities from FFmpeg for about $10,000, three of which shipped in FFmpeg 8.11
. Depthfirst claims to have achieved comparable results at a tenth of that cost2
.The pattern extends beyond FFmpeg and Google Chrome. Days ago, another autonomous tool identified an authenticated remote code execution flaw in Redis that had remained undetected since version 7.2.0, hiding for over two years
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. A February study demonstrated that an AI agent could reproduce working proof-of-concepts for more than half of 100 real Linux kernel N-day bugs, outperforming traditional fuzzing techniques1
. Mozilla recently patched 271 Firefox vulnerabilities found by Mythos in a single pass2
.Related Stories
The core challenge has shifted dramatically. AI uncovers zero-day vulnerabilities at unprecedented speed and minimal cost, but triaging AI-generated reports, shipping fixes, and deploying patches remains slow and resource-intensive
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. Much of this work still depends on volunteers and a thin layer of human triagers now expected to keep pace with machines1
. For FFmpeg, users should pull the fixed upstream build or distribution security updates immediately, prioritizing systems that ingest untrusted RTSP or AV1-over-RTP streams1
. FFmpeg is widely bundled in media pipelines, Python wheels, container images, and appliances, making embedded copies a critical concern beyond system packages1
.For Chrome users, updating to version 149.0.7827.53 on Linux or 149.0.7827.53/54 on Windows and macOS is essential, or confirming that auto-update has executed
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. The response must match the new pace: shorter patch cycles, auto-update wherever possible, and treating dependency bumps that carry CVE fixes as security work rather than routine maintenance1
. The question is no longer whether AI can find the bugs, but whether security teams can fix them fast enough2
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