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
60 lines
2.2 KiB
Markdown
60 lines
2.2 KiB
Markdown
# API Reference: Implementing Threat Modeling with MITRE ATT&CK
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## Libraries
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### attackcti (MITRE ATT&CK CTI)
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- **Install**: `pip install attackcti`
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- **Docs**: https://attackcti.readthedocs.io/
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- `attack_client()` -- Initialize ATT&CK client
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- `get_groups()` -- All threat actor groups
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- `get_techniques()` -- All techniques (Enterprise, Mobile, ICS)
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- `get_techniques_used_by_group(group)` -- Techniques per group
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- `get_mitigations()` -- Defensive mitigations
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- `get_software()` -- Malware and tools catalog
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### mitreattack-python
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- **Install**: `pip install mitreattack-python`
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- **Docs**: https://mitreattack-python.readthedocs.io/
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- `MitreAttackData(stix_filepath)` -- Load STIX bundle
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- `get_groups_using_technique(technique_stix_id)` -- Groups per technique
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- `get_datacomponents_detecting_technique()` -- Detection data sources
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## ATT&CK Navigator Layer Format
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| Field | Description |
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|-------|-------------|
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| `name` | Layer display name |
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| `domain` | `enterprise-attack`, `mobile-attack`, `ics-attack` |
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| `techniques[]` | List of technique annotations |
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| `techniques[].techniqueID` | ATT&CK ID (e.g., T1059) |
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| `techniques[].score` | Numeric score for heat map |
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| `techniques[].color` | Hex color override |
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| `gradient` | Color scale definition |
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## Threat Modeling Workflow
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1. Identify industry-relevant threat actors
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2. Map actor TTPs to ATT&CK techniques
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3. Assess current detection coverage
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4. Identify coverage gaps
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5. Prioritize defensive investments
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6. Export Navigator layer for visualization
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## Industry Threat Actor Mapping
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- Financial: APT38, FIN7, Carbanak, Lazarus
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- Healthcare: APT41, FIN12, Wizard Spider
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- Government: APT28, APT29, Turla, Sandworm
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- Technology: APT41, APT10, Hafnium
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- Energy: Sandworm, Dragonfly, APT33
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## Priority Scoring
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- **CRITICAL**: Technique used by 3+ relevant threat actors
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- **HIGH**: Technique used by 2 relevant threat actors
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- **MEDIUM**: Technique used by 1 relevant threat actor
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## External References
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- ATT&CK Groups: https://attack.mitre.org/groups/
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- ATT&CK Navigator: https://mitre-attack.github.io/attack-navigator/
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- CTID Center: https://ctid.mitre-engenuity.org/
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- ATT&CK STIX Data: https://github.com/mitre/cti
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- Threat Modeling Manifesto: https://www.threatmodelingmanifesto.org/
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