AFL is a coverage-guided fuzzer and security vulnerability scanner used to identify software bugs and memory corruption by feeding programs mutated data. It functions as a binary instrumentation tool and a test case minimizer to locate crashes and isolate the smallest set of bytes causing a fault.
The project distinguishes itself through its ability to operate as a parallel fuzzing orchestrator, distributing workloads across multiple CPU cores or networked machines. It utilizes dictionary-based mutation for complex file formats and performs input sensitivity analysis to identify critical sections of input files.
Its broader capabilities include binary and source code instrumentation for tracking execution paths, as well as crash path exploration to determine if faults are exploitable. The system provides automated software testing via binary fuzzing and a crash analysis workflow to simplify vulnerability debugging.