Beware EviLLM: Enabling Vulnerability Injection via Large Language Models

Excerpt

arXiv:2610.03857v1 Announce Type: cross Abstract: Advances in large language models (LLMs) have enabled AI-driven code generation from natural language specifications, introducing new attack surfaces for injecting vulnerabilities into software. Prior work has studied this problem only in benign settings where vulnerabilities are introduced inadvertently, or under unconventional threat models where the LLM itself is malicious (backdooring) or the user is the attacker (jailbreaking). In this paper