AI RESEARCH
Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents
arXiv CS.AI
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ArXi:2604.27143v1 Announce Type: cross Recent research has nstrated the potential of Large Language Models (LLMs) for autonomous penetration testing, particularly when using cloud-based restricted-weight models. However, reliance on such models In this paper, we present a systematic empirical study of whether targeted system-level and prompting interventions can bridge this performance gap.