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Individual AI skill · AI for Inteligencia e Investigación

fuzzing-obstacles

Codebases often contain anti-fuzzing patterns that prevent effective coverage. Checksums, global state (like time-seeded PRNGs), and validation checks can block the fuzzer from exploring deeper code paths. This technique shows how to patch…

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Mistakes to avoid

| Issue | Cause | Solution | |-------|-------|----------| | Coverage doesn't improve after patching | Wrong obstacle identified | Profile execution to find actual bottleneck | | Many false positive crashes | Downstream code has assumptions | Add defensive defaults or partial validation | | Code compiles differently | Macro not defined in all build configs | Verify macro in all source files and dependencies | | Fuzzer finds bugs in patched code | Patch introduced invalid states | Review patch for state invariants; consider safer approach | | Can't reproduce production bugs | Build differences too large | Minimize patches; keep validation for state-critical checks |

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AI for Inteligencia e Investigación

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skills/transversal/knowledge/trailofbits-skills/plugins/testing-handbook-skills/skills/fuzzing-obstacles
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Extracted from SKILL.md
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