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

38 lines
1.1 KiB
Markdown

# API Reference — Performing IP Reputation Analysis with Shodan
## Libraries Used
- **shodan**: Shodan API client for IP host lookup, port scanning, vulnerability data
- **requests**: HTTP client for AbuseIPDB API reputation checks
## CLI Interface
```
python agent.py --shodan-key <key> [--abuseipdb-key <key>] lookup --ip <ip>
python agent.py --shodan-key <key> [--abuseipdb-key <key>] bulk --ips <ip1> <ip2>
```
## Core Functions
### `shodan_host_lookup(api_key, ip)` — Shodan host details
- `shodan.Shodan(api_key)` / `api.host(ip)`
- Returns: org, ASN, ISP, country, open ports, vulns, services
### `abuseipdb_check(api_key, ip, max_age_days)` — AbuseIPDB reputation
- `GET https://api.abuseipdb.com/api/v2/check`
- Returns: abuse_confidence (0-100), total_reports, is_tor
### `bulk_reputation(shodan_key, ips, abuseipdb_key)` — Multi-IP analysis with risk scoring
## Risk Classification
| Risk | Criteria |
|------|---------|
| Critical | Abuse score >= 80 or 3+ known vulns |
| High | Abuse score >= 50 or 1+ known vulns |
| Medium | Abuse score >= 20 |
| Low | Below thresholds |
## Dependencies
```
pip install shodan requests
```