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
114 lines
2.3 KiB
Markdown
114 lines
2.3 KiB
Markdown
# API Reference: Active Directory Analysis with BloodHound
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## SharpHound — Data Collection
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### Syntax
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```cmd
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SharpHound.exe -c All -d domain.local
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SharpHound.exe -c DCOnly --ldapusername user --ldappassword pass
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```
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### Collection Methods
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| Flag | Data Collected |
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|------|----------------|
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| `All` | Everything below |
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| `Default` | Group, Session, Trusts, ACL, ObjectProps |
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| `DCOnly` | LDAP-only (no sessions) |
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| `Session` | Active sessions |
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| `ACL` | Access control lists |
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| `ObjectProps` | User/computer properties |
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## bloodhound-python — Cross-Platform
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### Syntax
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```bash
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bloodhound-python -d domain.local -u user -p pass -c all --zip -ns 10.10.10.1
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```
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### Options
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| Flag | Description |
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|------|-------------|
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| `-d` | Domain name |
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| `-u` | Username |
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| `-p` | Password |
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| `-c` | Collection method |
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| `-ns` | Nameserver (DC IP) |
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| `--zip` | Output as ZIP |
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## Neo4j Cypher Queries
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### Shortest Path to Domain Admins
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```cypher
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MATCH p=shortestPath(
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(u:User {owned:true})-[*1..]->(g:Group {name:'DOMAIN ADMINS@DOMAIN.LOCAL'})
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) RETURN p
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```
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### Kerberoastable Users
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```cypher
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MATCH (u:User) WHERE u.hasspn=true AND u.enabled=true
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RETURN u.name, u.serviceprincipalnames
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```
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### Unconstrained Delegation
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```cypher
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MATCH (c:Computer {unconstraineddelegation:true})
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RETURN c.name, c.operatingsystem
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```
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### DCSync Rights
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```cypher
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MATCH p=(u)-[:GetChanges|GetChangesAll]->(d:Domain)
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RETURN u.name, d.name
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```
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### AS-REP Roastable
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```cypher
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MATCH (u:User {dontreqpreauth:true})
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RETURN u.name, u.enabled
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```
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## BloodHound JSON Format
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### Users JSON
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```json
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{
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"data": [{
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"Properties": {
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"name": "USER@DOMAIN.LOCAL",
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"enabled": true,
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"admincount": true,
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"hasspn": false
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},
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"Aces": [],
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"MemberOf": []
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}]
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}
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```
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## Neo4j Python Driver
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### Connection
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```python
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from neo4j import GraphDatabase
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driver = GraphDatabase.driver("bolt://localhost:7687", auth=("neo4j", "bloodhound"))
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with driver.session() as session:
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result = session.run("MATCH (n:User) RETURN count(n)")
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```
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## BloodHound CE API
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### Authentication
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```http
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POST https://bloodhound:8080/api/v2/login
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Content-Type: application/json
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{"login_method": "secret", "secret": "api-key-here"}
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```
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### Search
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```http
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GET https://bloodhound:8080/api/v2/search?q=admin
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Authorization: Bearer {token}
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```
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