SEC-bench Pro benchmark with 183 real vulnerabilities shows frontier LLM coding agents achieve at most 38.8% success on SpiderMonkey and 32% on V8.
arXiv preprint arXiv:2602.13574 (2026), https://arxiv.org/abs/2602.13574
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FORGE deploys a fixed five-agent pipeline on 603 CVEs to achieve 67.8% L1+ exploitation success at $1.50 per CVE while generating detection rules whose grounding improves with deeper exploitation traces.
citing papers explorer
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SEC-bench Pro: Can Language Models Solve Long-Horizon Software Security Tasks?
SEC-bench Pro benchmark with 183 real vulnerabilities shows frontier LLM coding agents achieve at most 38.8% success on SpiderMonkey and 32% on V8.
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FORGE: Multi-Agent Graduated Exploitation and Detection Engineering
FORGE deploys a fixed five-agent pipeline on 603 CVEs to achieve 67.8% L1+ exploitation success at $1.50 per CVE while generating detection rules whose grounding improves with deeper exploitation traces.