LogPr\'ecis: Unleashing Language Models for Automated Shell Log Analysis

arXiv:2307.08309v2 Announce Type: replace
Abstract: The collection of security-related logs holds the key to understanding attack behaviors and diagnosing vulnerabilities. Still, their analysis remains a daunting challenge. Recently, Language Models (LMs) have demonstrated unmatched potential in understanding natural and programming languages. The question arises whether and how LMs could be also useful for security experts since their logs contain intrinsically confused and obfuscated information. In this paper, we systematically study how to benefit from the state-of-the-art in LM to automatically …

analysis arxiv attack automated challenge collection cs.ai cs.cr cs.ni key language language models languages lms log log analysis logs natural programming question security shell the key understanding vulnerabilities