The paper reports that adding a separate reasoning step to a terminal-operating LLM agent reduces tool calls and improves completion on 4 of 5 entry-level CTF virtual machines, while the framework's memory and plan-correction components are left unevaluated.
{PentestGPT}: Evaluating and harnessing large language models for automated penetration testing
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RedTeamLLM: an Agentic AI framework for offensive security
The paper reports that adding a separate reasoning step to a terminal-operating LLM agent reduces tool calls and improves completion on 4 of 5 entry-level CTF virtual machines, while the framework's memory and plan-correction components are left unevaluated.