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Offensive Fuzzing · snailsploit | DecimalAI

securityby snailsploit

Offensive Fuzzing

snailsploit/offensive-fuzzing

Source snailsploit/claude-red ↗License MIT

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.

SkillScore87Maintained

Automatic

Security & AppSec pack

Last verified 8/12/2026

What it changes

Passed 20 of 23 test cases with the skill, and 19 of 23 without it.

Without skill83%

With skill87%

Checks it passed that the model alone missed

The build command sets AFL_LLVM_CMPLOG=1.

1 fixed19 passed either way3 still failing0 broke

Pass-rate lift: +4 pp
Tokens: +209%
Agent turns: 0%
Response time: -29%

Model gemini-3.6-flashMeasured 8/12/2026v120 of 23 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/snailsploit-offensive-fuzzing/SKILL.md https://app.decimal.ai/s/snailsploit-offensive-fuzzing/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add snailsploit-offensive-fuzzing, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/snailsploit-offensive-fuzzing/ and pins it in .decimal/skills.lock

decimalai skills add snailsploit-offensive-fuzzing

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/snailsploit-offensive-fuzzing/SKILL.md https://app.decimal.ai/s/snailsploit-offensive-fuzzing/SKILL.md

Raw file: /s/snailsploit-offensive-fuzzing/SKILL.md ↗ · machine-readable summary at /s/snailsploit-offensive-fuzzing.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

A test case the skill fixed. Same model, same prompt, with and without the skill.

Prompt

We are compiling a C/C++ binary with AFL++ for coverage-guided fuzzing. Developers usually pass standard build flags, but we want to enable comparison logging for hard integer and string comparison solving. Which environment variable flag should be passed during compiler invocation?

What was checked, without and with the skill
Checked	Without skill	With skill
The build command sets AFL_LLVM_CMPLOG=1.	Missed	Passed

case-03 · gemini-3.6-flash · 8/12/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md333 linessingle file

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).

Core Workflow

Research target → Choose analyses → Build harness → Seed corpus → Instrument → Fuzz → Triage crashes → Report

1. Research Target

Map all input surfaces (files, network, IPC, syscalls, IOCTL)
Identify high-value areas: previously patched code, complex parsers, newly added code, input ingestion points
For kernel modules: look beyond copy_from_user — DMA-BUF ops, page fault handlers, VM operation structs, allocation callbacks

2. Instrument and Build

# AFL++ (preferred for GreyBox)
CC=afl-clang-fast CXX=afl-clang-fast++ cmake -DCMAKE_BUILD_TYPE=Release .. && make -j

# libFuzzer + ASan/UBSan (C/C++)
cmake -DCMAKE_CXX_FLAGS="-fsanitize=fuzzer,address,undefined -O1 -g" ..

# CmpLog build for hard compares
AFL_LLVM_CMPLOG=1 CC=afl-clang-fast CXX=afl-clang-fast++ make clean all

Windows (MSVC): Project Properties → C/C++ → Address Sanitizer: Yes (/fsanitize=address)

Track record

Benchmark

20 / 23

test cases passed, vs 19 / 23 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

snailsploit / claude-red

Skills/fuzzing/offensive-fuzzing/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Offensive Fuzzing

Fuzzer Types

Core Workflow

1. Research Target

2. Instrument and Build

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills