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

878 B

Standards - Detecting Azure Service Principal Abuse

MITRE ATT&CK Techniques

  • T1098.001: Account Manipulation - Additional Cloud Credentials
  • T1078.004: Valid Accounts - Cloud Accounts
  • T1087.004: Account Discovery - Cloud Account
  • T1528: Steal Application Access Token
  • T1550.001: Use Alternate Authentication Material - Application Access Token

CIS Microsoft Azure Foundations Benchmark v2.1

  • 1.11: Ensure that multi-factor authentication is enabled for all privileged users
  • 1.14: Ensure that guest users are reviewed on a regular basis
  • 1.15: Ensure that User consent for applications is set to Do not allow user consent

Microsoft Secure Score Recommendations

  • Require admin approval for unmanaged applications
  • Remove unused application permissions
  • Limit service principal credential lifetime
  • Implement Conditional Access for workload identities