MalwarePT: A Binary-Level Foundation Model for Malware Analysis

Automated malware analysis increasingly relies on machine learning, yet most existing methods remain task-specific and depend on handcrafted features or narrowly scoped models. Recent developments in binary-level foundation models suggest a path toward reusable program representations, but their...

UAFuzz - Binary-level Directed Fuzzing For Use-After-Free Vulnerabilities

Directed Greybox Fuzzing DGF like AFLGo aims to perform stress testing on pre-selected potentially vulnerable target locations, with applications to different security contexts: 1 bug reproduction, 2 patch testing or 3 static analysis report verification. There are recently more research work tha...