A public test of Anthropic's Mythos against the cURL codebase produced only one low‑severity confirmed vulnerability after manual triage, suggesting that current 'AI bug‑hunter' products may not materially outperform existing code‑analysis tools. The result raises questions about relying on vendor reports, the gap between marketing claims and operational security value, and how open‑source projects are enrolled in promotional programs.
— If replicated, this pattern undermines procurement and trust in AI security tools and argues for independent validation before firms or governments rely on marketed automated vulnerability scanners.
EditorDavid
2026.09.26
90% relevant
The article provides direct evidence for the claim that AI massively increases vulnerability discovery (and thus bug reports) and that this flood is stressing human triage and release processes—Canonical's switch to a two‑week security cycle is an operational response to an AI-driven bug deluge.
BeauHD
2026.05.11
100% relevant
Daniel Stenberg (cURL creator) blog post reporting Mythos' scanned report via Linux Foundation/Project Glasswing that yielded one confirmed low‑severity CVE and several false positives/simple bugs.
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