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sica-fondt/knowledge/cyber-skills/skills/building-phishing-reporting-button-workflow/references/standards.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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Standards & References: Building Phishing Reporting Button Workflow

MITRE ATT&CK References

  • T1566.001: Phishing: Spearphishing Attachment
  • T1566.002: Phishing: Spearphishing Link
  • T1204: User Execution
  • D3-RERE: User Reporting (MITRE D3FEND)

Industry Standards

  • NIST SP 800-61 Rev.2: Computer Security Incident Handling Guide
  • CIS Controls v8 Control 14: Security Awareness and Skills Training
  • ISO 27001 A.6.3: Information Security Awareness, Education and Training

Reporting Platform Comparison

Platform Type Integration Auto-Triage
Microsoft Report Button Built-in M365 native Via Sentinel/API
Cofense Reporter + Triage Third-party M365, Google Yes (Cofense Triage)
KnowBe4 PAB Third-party M365, Google Yes (KMSAT)
Proofpoint CLEAR Third-party M365, Google Yes (built-in)
Hoxhunt Third-party M365, Google Yes (AI-powered)

Key Metrics

  • Report Rate: Percentage of phishing simulations reported (target: >70%)
  • Mean Time to Triage: Time from report to classification (target: <10 min)
  • False Positive Rate: Legitimate emails reported as phishing
  • Threat Catch Rate: Real threats first detected by user reports
  • Reporter Accuracy: Percentage of reports that are actual threats