Individual skill
offensive-fuzzing
Practical offensive fuzzing methodology covering target identification, fuzzer selection (AFL++, libFuzzer, Honggfuzz, Boofuzz, syzkaller), harness writing, corpus curation, mutation strategies, coverage measurement, and crash triage. Use when setting up or running fuzz campaigns against any target: file parsers, network protocols, kernel drivers, EDR engines, embedded firmware, or language runtimes.
Skills/fuzzing/offensive-fuzzing/SKILL.md
Source commit a8de813edc9f66f60d44cfe42d47750e89d9930b
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- Matches the observed repository HEAD
- Yes
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- No
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- Observed behavior
- Not checked yet
- Last checked
- Nov 2, 2026
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Repository context
- Repository stars (not skill ratings)
- 10,505
- Repository last updated
- Oct 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude-ai Repository topic
- claude-skills Repository topic
- redteam Repository topic
- redteam-tools Repository topic
- skills Repository topic
- claude-pt Repository topic
- writing Derived category
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Browse files
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Read excerpt
# Offensive Fuzzing
## Fuzzer Types
| Type | Coverage | Speed | Tools |
|------|----------|-------|-------|
| BlackBox | Poor | Fast | Peach, Boofuzz |
| GreyBox | Good | Fast | AFL++, Honggfuzz, libFuzzer, WinAFL |
| Snapshot | Good | Fastest | Nyx, wtf, Snapchange |
| WhiteBox | Best | Slow | KLEE, QSYM, SymSan |
| Ensemble | Best | Fast | AFL++ + Honggfuzz + libFuzzer |
**GreyBox sub-variants:** Directed (AFLGo, UAFuzz), Grammar (AFLSmart, Tlspuffin), Concolic (QSYM, Driller), Kernel (syzkaller, kAFL, wtf).
