Files
Anthropic-Cybersecurity-Skills/skills/performing-fuzzing-with-aflplusplus/SKILL.md
T
Mahipal 2fb6a9faff Rewrite 548 skill descriptions to the activation rubric
Each rewritten description now states both what the skill does (concrete
capability, named tools/artifacts) and an explicit when-to-use trigger,
improving agent discovery/activation. Grounded in each skill's own body;
changes confined to the `description` field only (bodies and all other
frontmatter untouched). Produced by a gated audit->rewrite->recheck loop
(548 -> 0 flagged) with a sampled anti-invention check (0 ungrounded).

Schema: 817/817 pass. Framework-ID gate: 0 defects.
2026-08-02 09:32:13 -07:00

88 lines
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Markdown

---
name: performing-fuzzing-with-aflplusplus
description: 'Performs coverage-guided fuzzing of compiled binaries with AFL++, instrumenting
targets via afl-cc/afl-clang-fast, minimizing corpora with afl-cmin and afl-tmin,
running parallel campaigns with afl-fuzz, and triaging crashes with CASR or GDB
scripts. Use for binary fuzzing, crash and memory-corruption discovery, coverage-guided
testing, or running AFL++ fuzzing campaigns.
'
domain: cybersecurity
subdomain: application-security
tags:
- fuzzing
- aflplusplus
- coverage-guided
- crash-triage
- binary-analysis
- security-testing
version: '1.0'
author: mahipal
license: Apache-2.0
nist_ai_rmf:
- MEASURE-2.7
- MAP-5.1
- MANAGE-2.4
atlas_techniques:
- AML.T0070
- AML.T0066
- AML.T0082
nist_csf:
- PR.PS-01
- PR.PS-04
- ID.RA-01
- PR.DS-10
mitre_attack:
- T1078
- T1190
- T1059
- T1005
---
# 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
```