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116 lines
4.2 KiB
Markdown
116 lines
4.2 KiB
Markdown
# Workflows - SSVC Vulnerability Triage
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## Workflow 1: Initial SSVC Triage Pipeline
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### Trigger
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New vulnerability scan results imported from Nessus, Qualys, OpenVAS, or other scanner.
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### Steps
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1. **Ingest Scan Results**
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- Parse scanner output (CSV, XML, or JSON format)
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- Extract CVE identifiers, affected hosts, CVSS vectors, and descriptions
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- Deduplicate findings by CVE + host combination
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2. **Enrich with External Intelligence**
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- Query CISA KEV catalog JSON feed for exploitation status
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- Query FIRST EPSS API for exploitation probability scores
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- Query NVD API v2 for CVSS v3.1/v4.0 vectors and CWE mappings
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- Cache API responses to avoid rate limiting (NVD: 5 requests/30s without key, 50/30s with key)
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3. **Evaluate SSVC Decision Points**
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- **Exploitation**: Map KEV membership to "Active", EPSS > 0.5 to "PoC", otherwise "None"
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- **Technical Impact**: Parse CVSS vector; if Scope:Changed or CIA all High, mark "Total"
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- **Automatability**: Network vector + Low complexity + No user interaction = "Yes"
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- **Mission Prevalence**: Cross-reference affected assets with CMDB criticality tags
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- **Public Well-Being**: Map asset function to safety impact categories
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4. **Apply Decision Tree**
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- Walk the CISA SSVC decision tree with evaluated decision points
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- Assign outcome: Track, Track*, Attend, or Act
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5. **Generate Prioritized Report**
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- Sort vulnerabilities by SSVC outcome (Act > Attend > Track* > Track)
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- Within each category, secondary sort by EPSS score descending
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- Output JSON report and CSV summary for ticketing integration
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## Workflow 2: Continuous SSVC Monitoring
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### Trigger
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Daily scheduled job (cron or CI/CD pipeline).
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### Steps
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1. **Refresh CISA KEV Catalog**
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```bash
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curl -s -o /tmp/kev_catalog.json \
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"https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json"
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```
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2. **Check Previously Tracked CVEs Against Updated KEV**
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- Compare current open vulnerabilities against latest KEV additions
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- If a previously "Track" or "Track*" CVE appears in KEV, re-evaluate to "Attend" or "Act"
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3. **Refresh EPSS Scores**
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```bash
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curl -s "https://api.first.org/data/v1/epss?cve=CVE-2024-3400,CVE-2024-21887" | \
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python3 -c "import sys,json; print(json.dumps(json.load(sys.stdin)['data'], indent=2))"
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```
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4. **Update SSVC Outcomes**
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- Re-run decision tree for all open vulnerabilities with refreshed data
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- Flag any outcome changes (e.g., Track -> Attend)
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5. **Send Notifications**
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- Slack/Teams webhook for any new "Act" or "Attend" outcomes
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- Email digest for "Track*" changes
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- Update Jira/ServiceNow tickets with new SSVC classification
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## Workflow 3: Asset-Context SSVC Enrichment
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### Trigger
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New asset onboarded or asset criticality classification updated.
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### Steps
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1. **Import Asset Inventory**
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- Pull from CMDB (ServiceNow, Snipe-IT, or similar)
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- Map each asset to mission prevalence category:
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- Minimal: development, test environments
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- Support: backup systems, monitoring infrastructure
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- Essential: production databases, authentication servers, customer-facing apps
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2. **Map Public Well-Being Impact**
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- Healthcare systems, SCADA/ICS, transportation: Irreversible
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- Public web services, financial processing: Material
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- Internal tools, development systems: Minimal
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3. **Re-Evaluate Open Vulnerabilities**
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- Apply updated asset context to all open vulnerability SSVC evaluations
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- Generate delta report showing outcome changes
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## Workflow 4: SSVC Metrics and Reporting
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### Trigger
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Weekly/monthly reporting cycle.
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### Metrics to Track
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| Metric | Calculation | Target |
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|--------|------------|--------|
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| Mean Time to Remediate (Act) | Avg days from Act classification to closure | < 2 days |
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| Mean Time to Remediate (Attend) | Avg days from Attend classification to closure | < 14 days |
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| SLA Breach Rate | % of vulns not remediated within SLA | < 5% |
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| Act Backlog | Count of open Act-classified vulnerabilities | 0 |
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| Attend Backlog | Count of open Attend-classified vulnerabilities | < 10 |
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| Coverage Rate | % of vulnerabilities processed through SSVC | > 95% |
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### Report Generation
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```bash
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python3 scripts/process.py \
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--mode report \
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--input ssvc_results.json \
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--period weekly \
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--output ssvc_metrics_report.html
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```
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