AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks

arXiv:2403.01038v1 Announce Type: new
Abstract: Large language models (LLMs) have demonstrated impressive results on natural language tasks, and security researchers are beginning to employ them in both offensive and defensive systems. In cyber-security, there have been multiple research efforts that utilize LLMs focusing on the pre-breach stage of attacks like phishing and malware generation. However, so far there lacks a comprehensive study regarding whether LLM-based systems can be leveraged to simulate the post-breach stage of attacks that are typically human-operated, …

arxiv attacks automatic breach cs.ai cs.cr cyber defensive language language models large large language model llms natural natural language offensive pre-breach research researchers results security security researchers stage system systems