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The Hacker News AI Security · July 28, 2026

Researcher Says AI Helped Develop Linux Traffic-Control Race Into Root Exploit

news AI Red TeamingModel EvaluationAI Engineering
Why it matters

STAR Labs researcher Lee Jia Jie reports using an unnamed AI assistant to identify and weaponize CVE-2026-53264, a Linux network-scheduler use-after-free race, into local root on a targeted CentOS Stream 9 kernel. The exploit needs a local foothold, unprivileged user namespaces, specific traffic-control options, and kernel-specific ROP offsets; upstream fixed the lifetime bug by deferring frees through RCU.

My takeaway: Treat this as a field report, not an AI benchmark: the model, prompts, interaction record, and human baseline were not disclosed. Preserve research trajectories, record the division of labor, validate reachability and preconditions independently, require reproducible proofs, and patch affected distribution kernels; public exploit code raises urgency but does not make the flaw remotely exploitable.
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