uafuzz

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 stati...

Insignary Closes SBOM Accuracy Gap With Binary-Level Clarity for Regulatory Risk

Toronto, Canada, 6th July 2026, CyberNewswire...

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...