Unmasking The Unseen - Effortless Linux Malware Reversing With LLMs

Discover how to leverage Large Language Models (LLMs) to streamline and simplify the complex process of reverse engineering Linux malware in this 27-minute conference talk from BSidesMunich. Learn practical techniques for using AI-powered tools to analyze malicious code, understand obfuscation methods, and accelerate the malware analysis workflow. Explore how LLMs can assist in identifying malware families, decoding encrypted strings, and automating repetitive reverse engineering tasks that traditionally require extensive manual effort. Gain insights into integrating AI assistance into your cybersecurity toolkit while understanding the limitations and best practices for AI-assisted malware analysis. Master approaches for combining traditional reverse engineering methodologies with modern AI capabilities to enhance your ability to detect, analyze, and understand Linux-based threats more efficiently.