FuzzingBrain-Bench V1: Evaluating Open-Ended Bug Discovery by LLMs

Evaluating the ability of large language models LLMs to discover software bugs is increasingly important. Existing benchmarks typically evaluate this capability by asking the model to generate a proof-of-concept input that triggers a predefined target vulnerability. However, this setup may overlo...

Exploit for Deserialization of Untrusted Data in Facebook React

Chain Reaction High-Performance Rust Scanner for React Serv...

Memory corruption

Adobe Flash Player before 10.3.183.5 on Windows, Mac OS X, Linux, and Solaris and before 10.3.186.3 on Android, and Adobe AIR before 2.7.1 on Windows and Mac OS X and before 2.7.1.1961 on Android, allows remote attackers to execute arbitrary code or cause a denial of service memory corruption via...