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

104 lines
5.0 KiB
Markdown

# OpenCTI IOC Enrichment Workflows
## Workflow 1: Automatic Enrichment Pipeline
```
[New Observable Created] --> [RabbitMQ Queue] --> [Enrichment Connectors]
|
+-----------+-----------+
| | |
v v v
[VirusTotal] [Shodan] [AbuseIPDB]
| | |
v v v
[STIX Bundle] [STIX Bundle] [STIX Bundle]
| | |
+-----------+-----------+
|
v
[Merged into OpenCTI]
|
v
[Confidence Updated]
```
### Steps:
1. **Observable Ingestion**: New IP/domain/hash created via feed import or manual entry
2. **Queue Distribution**: OpenCTI sends observable to enrichment connector queues
3. **Parallel Enrichment**: Each connector queries its respective external API
4. **STIX Bundle Generation**: Connectors produce STIX 2.1 bundles with notes, labels, relationships
5. **Merge**: Enrichment results merged into the observable's knowledge graph
6. **Scoring**: Confidence score updated based on aggregated enrichment data
## Workflow 2: Analyst-Triggered Enrichment
```
[Analyst Selects Observable] --> [Manual Enrichment Request] --> [Selected Connectors]
| |
v v
[Review Results] <-- [Enrichment Dashboard] <-- [Results Returned]
|
v
[Update Tags/Labels] --> [Add to Investigation]
```
### Steps:
1. **Selection**: Analyst identifies observable requiring additional context
2. **Connector Choice**: Select specific enrichment connectors to run
3. **Execution**: Connectors query external services with observable value
4. **Review**: Analyst reviews enrichment results in observable detail view
5. **Curation**: Analyst updates labels, confidence, and adds notes
6. **Investigation**: Link enriched observable to ongoing investigation case
## Workflow 3: Bulk Enrichment Pipeline
```
[STIX Import] --> [Observable Extraction] --> [Batch Queue] --> [Rate-Limited Enrichment]
|
v
[Progress Tracking]
|
v
[Enrichment Report]
```
### Steps:
1. **Bulk Import**: Import STIX bundle with hundreds of observables
2. **Extraction**: OpenCTI extracts unique observables from imported data
3. **Queue Management**: Observables queued for enrichment with rate limiting
4. **Progressive Enrichment**: Connectors process queue respecting API rate limits
5. **Monitoring**: Track enrichment progress via connector status dashboard
6. **Reporting**: Generate enrichment summary with coverage statistics
## Workflow 4: Enrichment-Driven Scoring
```
[Raw IOC (Score: 0)] --> [VirusTotal] --> [Score += VT_detections/total * 30]
|
v
[AbuseIPDB] --> [Score += abuse_confidence * 0.3]
|
v
[GreyNoise] --> [Score += classification_weight]
|
v
[Shodan] --> [Score += open_ports_risk]
|
v
[Final Score (0-100)] --> [Priority Classification]
|
+---------+---------+
| | |
v v v
[Critical] [High] [Low]
(80-100) (50-79) (0-49)
```
### Steps:
1. **Baseline**: Observable starts with confidence score of 0
2. **VT Score**: VirusTotal detection ratio contributes up to 30 points
3. **Abuse Score**: AbuseIPDB confidence contributes up to 30 points
4. **Classification**: GreyNoise malicious/benign classification adds/subtracts points
5. **Exposure**: Shodan data on open ports and known vulnerabilities adds risk points
6. **Final Priority**: Aggregated score determines analyst priority queue placement