aflpp

AFL++ is a high-performance fuzzing skill designed for testing C and C++ applications using advanced mutation-based fuzzing techniques. It is based on the original AFL fuzzer but extends it with improved performance, additional capabilities, and stable multi-core fuzzing support. This skill helps developers identify crashes, memory corruption issues, and other vulnerabilities in native code by repeatedly executing applications with automatically generated test inputs. It is especially useful for large-scale fuzzing campaigns where maximizing execution throughput and code coverage is important.

The skill provides guidance for setting up and running AFL++ in multiple environments, including Ubuntu/Debian systems, Docker containers, and source-based installations. It supports compilation workflows using Clang or GCC and includes examples for creating fuzzing harnesses compatible with LLVM-style fuzz targets. AFL++ also includes tooling for multi-core execution, diverse mutation strategies, and performance tuning through system configuration scripts. The documentation highlights installation methods, compiler compatibility considerations, Docker-based workflows, and wrapper script setup for simplified execution.

This skill is intended for security researchers, software engineers, fuzzing practitioners, and teams maintaining production-grade C or C++ codebases. It is particularly valuable for users who need scalable fuzzing across multiple CPU cores or who require more advanced fuzzing capabilities than simpler single-threaded fuzzers. Typical use cases include vulnerability discovery, regression testing, continuous fuzzing in dedicated environments, and improving coverage on mature projects where other fuzzers may no longer produce meaningful results.