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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
1.1 KiB
1.1 KiB
Workflows — Social Engineering Penetration Testing
Campaign Lifecycle
Authorization & Scoping
│
├── OSINT & Target Profiling
│ ├── Email harvesting
│ ├── LinkedIn/social media reconnaissance
│ └── Target group selection
│
├── Infrastructure Setup
│ ├── Domain registration (lookalike)
│ ├── GoPhish/Evilginx deployment
│ ├── SMTP configuration (SPF/DKIM)
│ └── Landing page creation
│
├── Campaign Execution
│ ├── Phishing emails (batched sends)
│ ├── Vishing calls
│ ├── Physical pretexting
│ └── USB drops
│
├── Monitoring & Data Collection
│ ├── Email opens/clicks tracking
│ ├── Credential captures
│ ├── Call recordings/notes
│ └── Physical access logs
│
└── Reporting & Training
├── Metrics compilation
├── Risk scoring
├── Executive report
└── Targeted training recommendations