Getting LLMs Drunk to Find Remote Linux Kernel OOB Writes (and More)

The article explores a novel approach to identifying out-of-bounds (OOB) writes in the Linux kernel by using large language models (LLMs) in a unique 'drunk' state. This method aims to enhance the debugging process for developers working on kernel vulnerabilities. By leveraging LLMs, the research seeks to improve the efficiency and accuracy of finding critical security flaws in software systems.