mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
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
59 lines
1.9 KiB
Markdown
59 lines
1.9 KiB
Markdown
# Workflows - BloodHound CE Reconnaissance
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## Complete Reconnaissance Workflow
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```
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1. Deployment
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├── Pull BloodHound CE Docker images
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├── Start services with docker compose up -d
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├── Access web UI and set admin password
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└── Verify API connectivity
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2. Data Collection
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├── Choose collector: SharpHound v2 (Windows) or BloodHound.py (Linux)
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├── Run All collection method for comprehensive data
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├── Run Session collection in loop for user mapping
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├── Collect from all reachable domains
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└── Exfiltrate ZIP data to analysis workstation
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3. Import and Setup
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├── Upload ZIP files via BloodHound CE web interface
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├── Wait for data processing to complete
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├── Mark owned/compromised principals
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└── Set high-value targets
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4. Analysis
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├── Run built-in attack path queries
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├── Execute custom Cypher queries
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├── Identify ACL abuse opportunities
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├── Map delegation configurations
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├── Find Kerberoastable / AS-REP roastable accounts
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└── Discover GPO modification paths
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5. Attack Planning
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├── Prioritize paths by hop count and stealth
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├── Identify tools needed per hop
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├── Plan OPSEC for each technique
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└── Document execution plan
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6. Reporting
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├── Export graph visualizations
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├── Generate path summaries
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├── Document all findings with evidence
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└── Provide remediation recommendations
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```
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## Stealthy Collection Workflow
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```
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Low-Noise Collection:
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1. DCOnly mode: Only queries domain controllers via LDAP
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SharpHound.exe -c DCOnly
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2. Targeted collection: Specific container/OU
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SharpHound.exe -c All --searchbase "OU=Servers,DC=domain,DC=local"
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3. Session loop: Passive session enumeration over time
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SharpHound.exe -c Session --loop --loopduration 04:00:00 --loopinterval 00:05:00
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```
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