Agent skill

performing-fuzzing-with-aflplusplus

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.

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Forks 470

Install this agent skill to your Project

npx add-skill https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-fuzzing-with-aflplusplus

SKILL.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.

When to Use

  • When conducting security assessments that involve performing fuzzing with aflplusplus
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

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

  1. Instrument the target binary with afl-cc or afl-clang-fast
  2. Prepare seed corpus directory with minimal valid inputs
  3. Minimize corpus with afl-cmin to remove redundant seeds
  4. Run afl-fuzz with appropriate flags (-i input -o output)
  5. Monitor fuzzing progress via afl-whatsup and UI stats
  6. Triage crashes with afl-tmin minimization and CASR/GDB analysis
  7. Report unique crashes with reproduction steps

Expected Output

+++ Findings +++
  unique crashes: 12
  unique hangs: 3
  last crash: 00:02:15 ago
+++ Coverage +++
  map density: 4.23% / 8.41%
  paths found: 1847
  exec speed: 2145/sec

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