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sica-fondt/knowledge/cyber-skills/skills/implementing-fuzz-testing-in-cicd-with-aflplusplus/references/workflows.md
Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure 
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

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AFL++ Fuzz Testing Workflows

Workflow 1: CI Pipeline Integration

Code pushed to branch
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Fuzzing harness compiled with afl-clang-fast + ASan
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Corpus restored from CI cache
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AFL++ runs in secondary mode for fixed duration
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[No crashes] --> Corpus updated in cache, pipeline passes
[Crashes found] --> Pipeline fails, crash artifacts uploaded
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Developer triages crashes
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Fix applied, re-run confirms no regression

Workflow 2: Nightly Fuzzing Campaign

Scheduled nightly trigger (cron)
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Build instrumented binary + CmpLog binary
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Restore merged corpus from last run
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Launch parallel AFL++ instances (nproc count)
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Run for 4-8 hours
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Collect results from all instances
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afl-cmin merges and minimizes corpus
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Deduplicate crashes by stack hash
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New crashes create Jira/GitHub issues automatically
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Updated corpus cached for next run

Workflow 3: Crash Triage and Fix

Crash file identified in findings/
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Reproduce crash with ASan-instrumented binary
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Capture ASan stack trace and error type
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Minimize crash input with afl-tmin
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Identify root cause from stack trace
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Develop fix and add crash input as regression test
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Verify fix by re-running AFL++ with crash input
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Update corpus to include edge case inputs