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

1.5 KiB

API Reference: Web Application Vulnerability Triage

SLA Remediation Timelines

Severity CVSS Range SLA (Days)
Critical 9.0-10.0 7
High 7.0-8.9 30
Medium 4.0-6.9 90
Low 0.1-3.9 180
Info 0.0 365

Scanner JSON Formats

OWASP ZAP

Field Description
alerts[].name Finding title
alerts[].risk Severity (High, Medium, Low, Informational)
alerts[].cweid CWE identifier
alerts[].uri Affected URL

Burp Suite

Field Description
issues[].name Issue name
issues[].severity high, medium, low, information
issues[].url Affected endpoint
issues[].parameter Vulnerable parameter

Nikto JSON

Field Description
vulnerabilities[].id Nikto ID
vulnerabilities[].OSVDB OSVDB reference
vulnerabilities[].url Affected path

Priority Scoring Formula

score = cvss * 10
  + 5 if parameter identified
  + 10 if injection-type vulnerability
  + 8 if authentication-related

Python Libraries

Library Version Purpose
json stdlib Ingest scanner output
datetime stdlib SLA deadline calculation
collections stdlib Severity distribution

References