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sica-fondt/knowledge/cyber-skills/skills/detecting-dll-sideloading-attacks/assets/template.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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DLL Sideloading Hunt Template

Hunt Metadata

Field Value
Hunt ID TH-SIDELOAD-YYYY-MM-DD-NNN
Analyst
Date

Hypothesis

[e.g., "Adversaries are using DLL sideloading with legitimate signed applications to execute malicious payloads while evading detection."]

Findings

# Host Application Sideloaded DLL DLL Path Signed Risk Verdict
1

Recommendations

  1. Block: [Quarantine malicious DLLs]
  2. Harden: [Application directory permissions, DLL safe search mode]
  3. Detect: [Sysmon Event ID 7 rules for known targets]