mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
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
50 lines
1006 B
Markdown
50 lines
1006 B
Markdown
# BloodHound CE Reconnaissance Report Template
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## Engagement Details
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| Field | Value |
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|-------|-------|
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| Engagement Name | |
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| Target Domain(s) | |
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| Collection Date | |
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| BloodHound CE Version | |
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| SharpHound Version | |
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## Collection Summary
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| Metric | Count |
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|--------|-------|
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| Users | |
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| Computers | |
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| Groups | |
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| GPOs | |
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| OUs | |
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| Domains | |
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| Trusts | |
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| Sessions | |
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## Attack Paths Identified
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| # | Path Description | Hops | Start Node | End Node | Risk |
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|---|-----------------|------|------------|----------|------|
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| 1 | | | | Domain Admins | |
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| 2 | | | | Domain Admins | |
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## High-Value Findings
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| Finding | Count | Details |
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|---------|-------|---------|
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| Kerberoastable Users | | |
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| AS-REP Roastable Users | | |
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| Unconstrained Delegation | | |
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| Users with DCSync Rights | | |
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| Unsupported OS | | |
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## Remediation Priority
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| # | Finding | Remediation | Priority |
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|---|---------|-------------|----------|
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| 1 | | | Critical |
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| 2 | | | High |
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| 3 | | | Medium |
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