Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
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
2026-06-10 06:53:01 +00:00

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1.7 KiB
Markdown

# API Reference: MISP Threat Landscape Analysis
## PyMISP Connection
```python
from pymisp import PyMISP
misp = PyMISP(url, api_key, ssl=True)
```
## Event Search
```python
events = misp.search(date_from="2025-01-01", pythonify=True)
```
| Parameter | Description |
|-----------|-------------|
| `date_from` | Start date (YYYY-MM-DD) |
| `date_to` | End date |
| `tags` | Filter by tags |
| `threat_level_id` | 1=High, 2=Medium, 3=Low, 4=Undefined |
| `published` | True/False |
| `pythonify` | Return MISPEvent objects |
## Event Object Fields
| Field | Description |
|-------|-------------|
| `id` | Event ID |
| `date` | Event date |
| `threat_level_id` | 1-4 severity level |
| `analysis` | 0=Initial, 1=Ongoing, 2=Completed |
| `info` | Event description |
| `Attribute` | List of IOC attributes |
| `Tag` | List of tags |
| `Orgc` | Contributing organization |
## Attribute Types
| Type | Example |
|------|---------|
| `ip-dst` | Destination IP address |
| `ip-src` | Source IP address |
| `domain` | Domain name |
| `hostname` | FQDN |
| `url` | Full URL |
| `md5` / `sha1` / `sha256` | File hashes |
| `email-src` | Sender email |
| `filename` | Malicious filename |
| `mutex` | Mutex name |
| `regkey` | Registry key |
## Galaxy Tag Prefixes
| Prefix | Content |
|--------|---------|
| `misp-galaxy:mitre-attack-pattern=` | MITRE ATT&CK techniques |
| `misp-galaxy:threat-actor=` | Threat actor groups |
| `misp-galaxy:malpedia=` | Malware families |
| `misp-galaxy:sector=` | Target sectors |
| `misp-galaxy:country=` | Target countries |
## Statistics API
```python
misp.get_community_id()
misp.user_statistics()
misp.attributes_statistics(context="type")
misp.attributes_statistics(context="category")
misp.tags_statistics()
```