mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
24f816b6a3
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
1.6 KiB
1.6 KiB
Go Malware Analysis Workflows
Workflow 1: Stripped Binary Recovery
[Stripped Go Binary] --> [Find pclntab] --> [Recover Function Names]
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[Apply GoResolver] --> [Deobfuscate Names]
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[Categorize Functions]
Workflow 2: Full Ghidra Analysis
[Go Binary] --> [Import to Ghidra] --> [Run Go Analysis Scripts]
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[Fix String References]
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[Identify main Package]
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[Analyze C2/Network Logic]
Workflow 3: Dependency-Based Capability Assessment
[Go Binary] --> [Extract Module Info] --> [List Dependencies]
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[Map to Capabilities]
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[Prioritize Analysis]