CVE2AP: Automated Generation of PDDL-Encoded Attack Paths via Large Language Models
CVE2AP is proposed, an LLM-based approach for automatically generating PDDL-encoded attack paths from natural language CVE (Common Vulnerability Exposure) descriptions that leverages structured prompting and incorporates an error-feedback mechanism that iteratively refines the generated paths using planner-reported syn...