autohandai/community-skills/performing-fuzzing-with-aflplusplus
- community
Checking that the SKILL.md file is still in the repository.
Perform coverage-guided fuzzing of compiled binaries using AFL++ (American Fuzzy Lop Plus Plus) to discover memory corruption, crashes, and security vulnerabilities. The tester instruments target binaries with afl-cc/afl-clang-fast, manages input corpora with afl-cmin and afl-tmin, runs parallel fuzzing campaigns with afl-fuzz, and triages crashes using CASR or GDB scripts. Activates for requests involving binary fuzzing, crash discovery, coverage-guided testing, or AFL++ fuzzing campaigns.
Install
npx vskill@latest install autohandai/community-skills/performing-fuzzing-with-aflplusplusSKILL.md
Performing Fuzzing with AFL++
Overview
AFL++ is a community-maintained fork of American Fuzzy Lop (AFL) that provides coverage-guided fuzzing for compiled binaries. It instruments targets at compile time or via QEMU/Unicorn mode for binary-only fuzzing, then mutates input corpora to discover new code paths. AFL++ includes advanced scheduling (MOpt, rare), custom mutators, CMPLOG for input-to-state comparison solving, and persistent mode for high-throughput fuzzing.
Prerequisites
- AFL++ installed (
apt install afl++or build from source) - Target binary source code (for compile-time instrumentation) or QEMU mode for binary-only
- Initial seed corpus of valid inputs for the target format
- Linux system with /proc/sys/kernel/core_pattern configured
Steps
- Instrument the target binary with
afl-ccorafl-clang-fast - Prepare seed corpus directory with minimal valid inputs
- Minimize corpus with
afl-cminto remove redundant seeds - Run
afl-fuzzwith appropriate flags (-i input -o output) - Monitor fuzzing progress via afl-whatsup and UI stats
- Triage crashes with
afl-tminminimization and CASR/GDB analysis - Report unique crashes with reproduction steps
Expected Output
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingperforming-fuzzing-with-aflplusplus/SKILL.md
Popularity
- Repository stars
- 11
- Repository forks
- 3
- 7-day trend score
- 17
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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