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
1.0 KiB
1.0 KiB
Workflows - MFT Deleted File Recovery
Workflow 1: Basic Deleted File Discovery
Extract $MFT from forensic image
|
Parse with MFTECmd to CSV
|
Filter for InUse = False (deleted records)
|
Analyze ParentPath, FileName, FileSize
|
Cross-reference with USN Journal for deletion timestamps
|
Document findings with original paths and timestamps
Workflow 2: MFT Slack Space Recovery
Extract raw $MFT binary
|
Parse each 1024-byte record
|
Compare used_size vs allocated_size (1024)
|
Extract slack bytes between used and allocated
|
Search for attribute headers (0x10, 0x30, 0x80)
|
Reconstruct partial file metadata from slack data
Workflow 3: Timeline Reconstruction
Parse $MFT for all timestamps ($SI and $FN)
|
Parse $J (USN Journal) for change records
|
Parse $LogFile for transaction records
|
Merge into unified timeline
|
Identify file creation, modification, deletion sequences
|
Flag timestomping indicators ($SI Created < $FN Created)