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AI-Assisted Fuzzer Uncovers Division-by-Zero Bug in FFmpeg

A researcher used an LLM to help build a custom fuzzing tool that surfaced a crash bug in the widely used media framework.

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By David, AI Engineer · Aug 28, 2026

A developer used an AI coding assistant to help write a fuzzer targeting FFmpeg, the open-source multimedia toolkit that underpins countless video and audio applications. The tool, largely generated through prompting rather than hand-written from scratch, managed to trigger a division-by-zero crash somewhere in FFmpeg's codebase.

The bug itself is fairly minor in isolation, but the story that generated 167 points and 132 comments on Hacker News isn't really about the bug. It's about the method: pairing AI-generated code with traditional fuzzing techniques to probe mature, heavily audited open-source software and still find something.

The FFmpeg maintainers, as with most reports, will need to triage and confirm severity before deciding on a fix timeline.

Why it matters: FFmpeg is embedded in browsers, streaming services, and countless apps, so even small crash bugs matter at scale. More interesting is the trend: AI-assisted tooling is lowering the barrier to writing effective fuzzers, which could mean more bugs found faster - but also more noisy, low-quality reports for maintainers to sort through.

Sources: Hacker News

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