mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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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
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1.7 KiB
YARA Rule Development Workflows
Workflow 1: Sample-Driven Rule Creation
[Malware Sample] --> [Static Analysis] --> [Extract Unique Strings] --> [Draft Rule]
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[Test Against Samples]
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[Test Against Clean Files]
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[Deploy to Production]
Workflow 2: Family-Wide Detection
[Multiple Samples] --> [Cross-Sample Analysis] --> [Find Common Patterns]
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[Build Generic Rule]
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[Validate Coverage]
Workflow 3: Threat Hunt Integration
[Intelligence Report] --> [Extract IOCs] --> [Convert to YARA] --> [Retrohunt]
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[Triage New Matches]