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.

aibot88 Updated 3 repo stars

File contents

aibot88/sec_skill_store/tree/main/skills/claudskills/offensive-fuzzing commit b66cdaec40

Frequently asked questions

npx skillmds@latest add aibot88/offensive-fuzzing