ContraFix couples differential runtime evidence from execution variants with reusable repair skills to achieve 84.0% resolution on SEC-Bench and 73.8% on PatchEval using GPT-5-mini, outperforming baselines at lower cost.
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2026 2verdicts
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Kumushi improves automated vulnerability repair by focusing LLM edits on root causes via dynamic localization and ranking, yielding more genuine fixes than prior agents on 178 C/C++ vulnerabilities.
citing papers explorer
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ContraFix: Agentic Vulnerability Repair via Differential Runtime Evidence and Skill Reuse
ContraFix couples differential runtime evidence from execution variants with reusable repair skills to achieve 84.0% resolution on SEC-Bench and 73.8% on PatchEval using GPT-5-mini, outperforming baselines at lower cost.
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Root-Cause-Driven Automated Vulnerability Repair
Kumushi improves automated vulnerability repair by focusing LLM edits on root causes via dynamic localization and ranking, yielding more genuine fixes than prior agents on 178 C/C++ vulnerabilities.