We have released Maat, a cross-architecture, multi-purpose, and user-friendly symbolic execution framework. It provides common symbolic execution capabilities such as dynamic symbolic execution (DSE), taint analysis, binary instrumentation, environment simulation, and constraint solving. Maat is easy-to-use, is based on the popular Ghidra intermediate representation (IR) language p-code, prioritizes runtime performance, and has […] Alex Groce, Associate Professor, School of Informatics, Computing and Cyber Systems, Northern Arizona University Using DeepState, we took a handwritten red-black tree fuzzer and, with minimal effort, turned it into a much more fully featured test generator. The DeepState fuzzer, despite requiring no more coding effort, supports replay of regression tests, reduction of the size […]