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
56 lines
1.5 KiB
Markdown
56 lines
1.5 KiB
Markdown
# API Reference: Implementing Endpoint DLP Controls
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## Sensitive Data Patterns
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| Pattern | Regex | Severity |
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|---------|-------|----------|
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| SSN | `\d{3}-\d{2}-\d{4}` | HIGH |
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| Credit Card | `4[0-9]{12}(?:[0-9]{3})?` | HIGH |
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| AWS Key | `AKIA[0-9A-Z]{16}` | CRITICAL |
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| Private Key | `-----BEGIN.*PRIVATE KEY-----` | CRITICAL |
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| API Key | `api[_-]?key\s*[:=]\s*[a-zA-Z0-9]{20,}` | HIGH |
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## DLP Channels
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| Channel | Monitoring Method |
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|---------|-------------------|
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| USB/Removable | Device event logs |
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| Cloud Storage | URL/domain filtering |
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| Email | Attachment scanning |
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| Clipboard | Process monitoring |
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| Print | Print spooler events |
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## Microsoft Purview DLP API
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```python
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import requests
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headers = {"Authorization": "Bearer <token>"}
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resp = requests.get(
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"https://graph.microsoft.com/v1.0/security/alerts_v2",
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headers=headers,
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params={"$filter": "category eq 'DataLossPrevention'"})
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```
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## CrowdStrike Falcon DLP
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```bash
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curl -X GET "https://api.crowdstrike.com/dlp/entities/policies/v1" \
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-H "Authorization: Bearer $TOKEN"
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```
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## File Scanning
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```python
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from pathlib import Path
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import re
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SENSITIVE_EXTS = {".pem", ".key", ".env", ".kdbx", ".pfx"}
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for f in Path("/data").rglob("*"):
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if f.suffix in SENSITIVE_EXTS or re.search(r"AKIA", f.read_text()):
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print(f"ALERT: {f}")
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```
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### References
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- Microsoft Purview DLP: https://learn.microsoft.com/en-us/purview/dlp-learn-about-dlp
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- CrowdStrike Falcon DLP: https://www.crowdstrike.com/platform/data-protection/
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