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====Fuzzers====
*[https://github.com/google/honggfuzz Honggfuzz] - Security oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW based).
*[https://llvm.org/docs/LibFuzzer.html LibFuzzer] - LibFuzzer is an in-process, coverage-guided, evolutionary fuzzing engine.
*[https://github.com/google/AFL '''(ARCHIVED)''' AFL (American fuzzy lop)] - is a security-oriented fuzzer that employs a novel type of compile-time instrumentation and genetic algorithms to automatically discover clean, interesting test cases that trigger new internal states in the targeted binary.
*[https://github.com/AFLplusplus/AFLplusplus AFL++ (AFLplusplus)] - The fuzzer afl++ is afl with community patches, qemu 5.1 upgrade, collision-free coverage, enhanced laf-intel & redqueen, AFLfast++ power schedules, MOpt mutators, unicorn_mode, and a lot more!
*[https://github.com/carolemieux/afl-rb FairFuzz] - is a AFL extension to increase code coverage by targeting rare branches. FairFuzz has a particular advantage on programs with highly nested structure (packet analyzers, xmllint, programs compiled with laf-inte, etc).
*[https://github.com/RUB-SysSec/redqueen RedQueen] - is a fast general purpose fuzzer for x86 binary applications. It can automatically overcome checksums and magic bytes without falling back to complex and fragile program analysis techniques, such as symbolic execution.
*[https://github.com/sslab-gatech/qsym '''(ARCHIVED)''' QSYM] - ia a Practical Concolic Execution Engine Tailored for Hybrid Fuzzing.
*[https://github.com/puppet-meteor/MOpt-AFL MOpt-AFL] - is a AFL-based fuzzer that utilizes a customized Particle Swarm Optimization (PSO) algorithm to find the optimal selection probability distribution of operators with respect to fuzzing effectiveness. More details can be found in the technical report. The installation of MOpt-AFL is the same as AFL's.
====PC platform exploration frameworks====
