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sica-fondt/knowledge/cyber-skills/skills/analyzing-lnk-file-and-jump-list-artifacts/references/workflows.md
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

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Workflows - LNK and Jump List Analysis

Workflow 1: User File Access Investigation

Collect LNK files from Recent directory
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Parse with LECmd to CSV
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Filter by target path for specific files/locations
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Extract timestamps, volume serial, NetBIOS name
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Correlate with MFT and Event Log timestamps
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Document file access timeline

Workflow 2: Jump List Application Activity

Collect AutomaticDestinations and CustomDestinations
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Parse with JLECmd to CSV
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Map AppID hashes to applications
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Extract embedded LNK entries per application
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Build per-application file access timeline
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Identify removable media and network paths

Workflow 3: Removable Media Usage

Filter LNK files for drive letters (E:, F:, G:)
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Extract volume serial numbers
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Match with SYSTEM registry USBSTOR entries
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Identify specific USB devices accessed
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Build user-device-file timeline