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
1.9 KiB
1.9 KiB
Workflows - BloodHound CE Reconnaissance
Complete Reconnaissance Workflow
1. Deployment
├── Pull BloodHound CE Docker images
├── Start services with docker compose up -d
├── Access web UI and set admin password
└── Verify API connectivity
2. Data Collection
├── Choose collector: SharpHound v2 (Windows) or BloodHound.py (Linux)
├── Run All collection method for comprehensive data
├── Run Session collection in loop for user mapping
├── Collect from all reachable domains
└── Exfiltrate ZIP data to analysis workstation
3. Import and Setup
├── Upload ZIP files via BloodHound CE web interface
├── Wait for data processing to complete
├── Mark owned/compromised principals
└── Set high-value targets
4. Analysis
├── Run built-in attack path queries
├── Execute custom Cypher queries
├── Identify ACL abuse opportunities
├── Map delegation configurations
├── Find Kerberoastable / AS-REP roastable accounts
└── Discover GPO modification paths
5. Attack Planning
├── Prioritize paths by hop count and stealth
├── Identify tools needed per hop
├── Plan OPSEC for each technique
└── Document execution plan
6. Reporting
├── Export graph visualizations
├── Generate path summaries
├── Document all findings with evidence
└── Provide remediation recommendations
Stealthy Collection Workflow
Low-Noise Collection:
1. DCOnly mode: Only queries domain controllers via LDAP
SharpHound.exe -c DCOnly
2. Targeted collection: Specific container/OU
SharpHound.exe -c All --searchbase "OU=Servers,DC=domain,DC=local"
3. Session loop: Passive session enumeration over time
SharpHound.exe -c Session --loop --loopduration 04:00:00 --loopinterval 00:05:00