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

38 lines
1.6 KiB
Markdown

# Go Malware Analysis Workflows
## Workflow 1: Stripped Binary Recovery
```
[Stripped Go Binary] --> [Find pclntab] --> [Recover Function Names]
|
v
[Apply GoResolver] --> [Deobfuscate Names]
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v
[Categorize Functions]
```
## Workflow 2: Full Ghidra Analysis
```
[Go Binary] --> [Import to Ghidra] --> [Run Go Analysis Scripts]
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v
[Fix String References]
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v
[Identify main Package]
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v
[Analyze C2/Network Logic]
```
## Workflow 3: Dependency-Based Capability Assessment
```
[Go Binary] --> [Extract Module Info] --> [List Dependencies]
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v
[Map to Capabilities]
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v
[Prioritize Analysis]
```