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
39 lines
1.1 KiB
Markdown
39 lines
1.1 KiB
Markdown
# API Reference — Performing OT Vulnerability Assessment with Claroty
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## Libraries Used
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- **requests**: HTTP client for Claroty xDome REST API
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## CLI Interface
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```
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python agent.py --url <claroty_url> --token <api_token> vulns [--severity critical] [--limit 100]
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python agent.py --url <claroty_url> --token <api_token> prioritize
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python agent.py --url <claroty_url> --token <api_token> risk
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```
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## ClarotyVulnClient API
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### `get_vulnerabilities(severity, asset_type, limit)`
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**Endpoint:** `GET /api/v1/vulnerabilities`
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### `get_affected_assets(cve_id)`
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**Endpoint:** `GET /api/v1/vulnerabilities/cve/{cve_id}/assets`
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### `get_risk_score()`
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**Endpoint:** `GET /api/v1/risk/score`
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## Core Functions
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### `assess_vulnerabilities(...)` — Analyze OT vulnerability landscape
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Groups by severity and asset type. Extracts critical vulnerabilities with CVSS scores.
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### `prioritize_remediation(...)` — Risk-based prioritization
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Risk formula: `CVSS * asset_criticality * exploitability / 10`
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Priority: CRITICAL (>=4), HIGH (>=2.5), MEDIUM (>=1.5), LOW (<1.5).
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### `get_risk_overview(...)` — Overall OT risk posture
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## Dependencies
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```
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pip install requests
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```
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