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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1.6 KiB
Markdown

# API Reference — Performing Initial Access with Evilginx3
## Libraries Used
- **pyyaml**: Parse Evilginx3 phishlet YAML configuration files
- **subprocess**: Check Evilginx installation and version
- **pathlib**: Directory listing and file reading
- **re**: IP address extraction from session logs
## CLI Interface
```
python agent.py parse --phishlet office365.yaml
python agent.py logs --file sessions.log
python agent.py check
python agent.py list --dir /path/to/phishlets/
python agent.py detect --phishlet office365.yaml
```
## Core Functions
### `parse_phishlet(phishlet_path)` — Analyze phishlet configuration
Extracts proxy hosts, auth tokens, credential fields. Determines MFA bypass capability.
### `analyze_session_log(log_file)` — Parse Evilginx session captures
Identifies sessions with captured tokens and credentials. Extracts source IPs.
### `check_evilginx_installation()` — Verify Evilginx3 binary
Returns installed status and version string.
### `list_phishlets(phishlet_dir)` — Enumerate available phishlets
Lists .yaml/.yml files in phishlet directory with sizes.
### `generate_detection_rules(phishlet_path)` — Create defensive signatures
Generates DNS monitoring, cookie relay detection, and network anomaly rules.
Includes FIDO2/WebAuthn MFA recommendations.
## Phishlet Structure
- `proxy_hosts`: Domain-to-phishing-subdomain mappings
- `auth_tokens`: Session cookies to intercept (enables MFA bypass)
- `credentials`: Form fields to capture (username/password)
- `sub_filters`: Content replacement rules for convincing proxied pages
## Dependencies
```
pip install pyyaml
```
System: evilginx (optional, for live testing)