Empirical study of 400 LLM attack runs finds exploitation success rates of 25-85% across four models against a fixed multi-service honeypot, with model-distinctive failure modes and p<0.001 differences.
Hiding in the AI Traf- fic: Abusing MCP for LLM-Powered Agentic Red Teaming
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How Reliable Are AI Attackers Against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency
Empirical study of 400 LLM attack runs finds exploitation success rates of 25-85% across four models against a fixed multi-service honeypot, with model-distinctive failure modes and p<0.001 differences.