mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
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
60 lines
1.5 KiB
Markdown
60 lines
1.5 KiB
Markdown
# API Reference: Web Application Vulnerability Triage
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## SLA Remediation Timelines
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| Severity | CVSS Range | SLA (Days) |
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|----------|-----------|------------|
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| Critical | 9.0-10.0 | 7 |
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| High | 7.0-8.9 | 30 |
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| Medium | 4.0-6.9 | 90 |
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| Low | 0.1-3.9 | 180 |
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| Info | 0.0 | 365 |
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## Scanner JSON Formats
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### OWASP ZAP
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| Field | Description |
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|-------|-------------|
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| `alerts[].name` | Finding title |
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| `alerts[].risk` | Severity (High, Medium, Low, Informational) |
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| `alerts[].cweid` | CWE identifier |
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| `alerts[].uri` | Affected URL |
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### Burp Suite
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| Field | Description |
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|-------|-------------|
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| `issues[].name` | Issue name |
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| `issues[].severity` | high, medium, low, information |
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| `issues[].url` | Affected endpoint |
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| `issues[].parameter` | Vulnerable parameter |
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### Nikto JSON
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| Field | Description |
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|-------|-------------|
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| `vulnerabilities[].id` | Nikto ID |
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| `vulnerabilities[].OSVDB` | OSVDB reference |
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| `vulnerabilities[].url` | Affected path |
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## Priority Scoring Formula
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```
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score = cvss * 10
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+ 5 if parameter identified
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+ 10 if injection-type vulnerability
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+ 8 if authentication-related
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```
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## Python Libraries
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| Library | Version | Purpose |
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|---------|---------|---------|
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| `json` | stdlib | Ingest scanner output |
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| `datetime` | stdlib | SLA deadline calculation |
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| `collections` | stdlib | Severity distribution |
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## References
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- CVSS v3.1: https://www.first.org/cvss/specification-document
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- OWASP Risk Rating: https://owasp.org/www-community/OWASP_Risk_Rating_Methodology
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- CWE Database: https://cwe.mitre.org/
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