HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models
LLM-based analyzers have begun finding real vulnerabilities in mature open-source projects: AISLE's analyzer is credited with more than 280 CVEs across 78 projects, including OpenSSL, curl, and GnuTLS. We introduce HoF-Bench (named after AISLE's public Hall of Fame), a benchmark built from 95 of these public AI-discovered CVEs across eight repositories pinned at vulnerable commits. Analyzers receive source and target-file scope but not CVE identifiers, descriptions, fixes, or expected mechanisms; a detector-blinded frontier-model judge credits only findings that identify the same code path, root cause, attack condition, and impact. A deliberately minimal LLM-based analyzer rediscovers up ...
| Authors | Petr Simecek, Elnaz Babayeva, Jiri Balhar et al. |
|---|---|
| Primary category | cs.CR |
| Published | 29 July 2026 |
| Last updated at source | 29 July 2026 |
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