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

931 B

Standards Reference: Mobile Malware Detection

OWASP Mobile Top 10 2024

ID Risk Malware Relevance
M2 Inadequate Supply Chain Security Trojanized apps, repackaged malware
M8 Security Misconfiguration Excessive permissions enabling malware

NIST SP 800-163 Rev 1

  • Section 5: Mobile app vetting for malware indicators
  • Section 6: Enterprise mobile device management for malware prevention

MITRE ATT&CK Mobile Matrix

Tactic Technique Indicator
Initial Access T1444: Masquerade as Legitimate App App name/icon spoofing
Collection T1412: Capture SMS Messages SMS permission + network
Exfiltration T1437: Standard Application Layer Protocol HTTP POST to C2
Command and Control T1437.001: Web Protocols HTTPS beaconing
Impact T1471: Data Encrypted for Impact File encryption + ransom