Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
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
2026-06-10 06:53:01 +00:00

24 lines
1.1 KiB
Markdown

# Workflows — NoSQL Injection Exploitation
## Detection Workflow
1. Identify application technology stack (check for MongoDB, CouchDB indicators)
2. Map all input points accepting JSON data or query parameters
3. Submit operator payloads ($ne, $gt, $regex) in each parameter
4. Monitor responses for authentication bypass or data leakage
5. Test for JavaScript injection via $where operator
6. Document all vulnerable endpoints with proof-of-concept payloads
## Blind Extraction Workflow
1. Confirm boolean-based injection by comparing true/false responses
2. Determine password/field length using $regex with length patterns
3. Extract characters one at a time using $regex "^<known_chars><test>"
4. Automate extraction with Python script using binary search
5. Validate extracted data by attempting authentication
## Automated Scanning Workflow
1. Configure proxy (Burp Suite) to intercept target traffic
2. Run NoSQLMap against identified endpoints
3. Use nuclei with NoSQL injection templates for broad coverage
4. Manually verify automated findings with crafted payloads
5. Escalate confirmed findings to data extraction or RCE attempts