Moritz Schloegel
Moritz Schloegel is a binary security researcher at the CISPA Helmholtz Center for Information Security. He is currently in the last year of his PhD and focuses on automated finding, understanding, and exploitation of bugs. Furthermore, he possesses a deep passion for exploring the complexities of (de-)obfuscation, emphasizing automated deobfuscation attacks and their countermeasures.
Sessions
In our talk, we take a closer look at Large Language Models (LLMs) in reverse engineering, highlighting both their current uses and future potential. We address the opportunities and challenges presented by LLMs, from enhancing code analysis to navigating issues of inaccuracies and privacy. To address these challenges, we introduce ReverserAI as a platform designed to explore and expand the capabilities of LLMs within this field. We further illustrate how local, privacy-focused LLM setups can overcome existing privacy limitations. Lastly, we explore and showcase ways to significantly improve current LLM outputs by combining them with traditional static analysis techniques, for example in the context of malware analysis. Our discussion also covers the anticipated evolution of LLM technology, underscoring its promise to advance the field.