offensive-fuzzing
FeaturedPractical 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.
Install
Quality Score: 87/100
Skill Content
Details
- Author
- 0xwilliamortiz
- Repository
- 0xwilliamortiz/claude-red
- Created
- 1 months ago
- Last Updated
- 1 months ago
- Language
- JavaScript
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
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.
security-protocol-fuzzing
Build bounded fuzzing campaigns and regression corpora for parsers, wire formats, IPC, and protocol state machines. Use when malformed inputs or operation sequences must preserve explicit security properties. Not a broad network scan or cryptographic proof.
aflpp
Use when the user needs to set up and run an AFL++ fuzzing campaign for a C/C++ target. Compiles with LTO, LLVM, or GCC instrumentation, runs single or multi-core campaigns, triages crashes, and minimizes the corpus. Requests explicit approval before system-level changes. Not for libFuzzer harness campaigns — use libfuzzer.