triaging-vulnerabilities-with-ssvc-framework
Triages and prioritizes vulnerabilities with CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree, weighing exploitation status (via the CISA KEV catalog and FIRST EPSS API), technical impact, automatability, and mission prevalence to output Track/Track*/Attend/Act decisions. Use when prioritizing vulnerability scan results (OpenVAS, Nessus, Qualys) for remediation planning beyond raw CVSS scores.
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npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill triaging-vulnerabilities-with-ssvc-frameworkIs this agent skill safe to install?
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The skill is safe. It provides tools and workflows for triaging and prioritizing vulnerabilities using CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) framework. It securely interacts with well-known public APIs from CISA, FIRST, and NVD to enrich vulnerability data without any security risk.
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Risk: LOW · No issues
What does this agent skill do?
Triaging Vulnerabilities with SSVC Framework
Overview
The Stakeholder-Specific Vulnerability Categorization (SSVC) framework, developed by Carnegie Mellon University's Software Engineering Institute (SEI) in collaboration with CISA, provides a structured decision-tree methodology for vulnerability prioritization. Unlike CVSS alone, SSVC accounts for exploitation status, technical impact, automatability, mission prevalence, and public well-being impact to produce one of four actionable outcomes: Track, Track*, Attend, or Act.
When to Use
- When managing security operations that require triaging vulnerabilities with ssvc framework
- When improving security program maturity and operational processes
- When establishing standardized procedures for security team workflows
- When integrating threat intelligence or vulnerability data into operations
Prerequisites
- Python 3.9+ with
requests,pandas, andjinja2libraries - Access to CISA KEV catalog API and EPSS API from FIRST
- NVD API key (optional, for higher rate limits)
- Vulnerability scan results from tools like OpenVAS, Nessus, or Qualys
SSVC Decision Points
1. Exploitation Status
Assess current exploitation activity:
- None - No evidence of active exploitation
- PoC - Proof-of-concept exists publicly
- Active - Active exploitation observed in the wild (check CISA KEV)
# Check if a CVE is in CISA Known Exploited Vulnerabilities catalog
curl -s "https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json" | \
python3 -c "import sys,json; data=json.load(sys.stdin); cves=[v['cveID'] for v in data['vulnerabilities']]; print('Active' if 'CVE-2024-3400' in cves else 'Check PoC/None')"
2. Technical Impact
Determine scope of compromise if exploited:
- Partial - Limited to a subset of system functionality or data
- Total - Full control of the affected system, complete data access
3. Automatability
Evaluate if exploitation can be automated at scale:
- No - Requires manual, targeted exploitation per victim
- Yes - Can be scripted or worm-like propagation is possible
4. Mission Prevalence
How widespread is the affected product in your environment:
- Minimal - Limited deployment, non-critical systems
- Support - Supports mission-critical functions indirectly
- Essential - Directly enables core mission capabilities
5. Public Well-Being Impact
Potential consequences for physical safety and public welfare:
- Minimal - Negligible impact on safety or public services
- Material - Noticeable degradation of public services
- Irreversible - Loss of life, major property damage, or critical infrastructure failure
SSVC Decision Outcomes
| Outcome | Action Required | SLA |
|---|---|---|
| Track | Monitor, remediate in normal patch cycle | 90 days |
| Track* | Monitor closely, prioritize in next patch window | 60 days |
| Attend | Escalate to senior management, accelerate remediation | 14 days |
| Act | Apply mitigations immediately, executive-level awareness | 48 hours |
Workflow
Step 1: Ingest Vulnerability Data
import requests
import json
# Fetch CISA KEV catalog
kev_url = "https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json"
kev_data = requests.get(kev_url).json()
kev_cves = {v['cveID'] for v in kev_data['vulnerabilities']}
# Fetch EPSS scores for context
epss_url = "https://api.first.org/data/v1/epss"
epss_response = requests.get(epss_url, params={"cve": "CVE-2024-3400"}).json()
Step 2: Evaluate Each Decision Point
def evaluate_exploitation(cve_id, kev_set):
"""Determine exploitation status from CISA KEV and EPSS data."""
if cve_id in kev_set:
return "active"
epss = requests.get(
"https://api.first.org/data/v1/epss",
params={"cve": cve_id}
).json()
if epss.get("data"):
score = float(epss["data"][0].get("epss", 0))
if score > 0.5:
return "poc"
return "none"
def evaluate_technical_impact(cvss_vector):
"""Parse CVSS vector for scope and impact metrics."""
if "S:C" in cvss_vector or "C:H/I:H/A:H" in cvss_vector:
return "total"
return "partial"
def evaluate_automatability(cvss_vector, cve_description):
"""Check if attack vector is network-based with low complexity."""
if "AV:N" in cvss_vector and "AC:L" in cvss_vector and "UI:N" in cvss_vector:
return "yes"
return "no"
Step 3: Apply SSVC Decision Tree
def ssvc_decision(exploitation, tech_impact, automatability, mission_prevalence, public_wellbeing):
"""CISA SSVC decision tree implementation."""
if exploitation == "active":
if tech_impact == "total" or automatability == "yes":
return "Act"
if mission_prevalence in ("essential", "support"):
return "Act"
return "Attend"
if exploitation == "poc":
if automatability == "yes" and tech_impact == "total":
return "Attend"
if mission_prevalence == "essential":
return "Attend"
return "Track*"
# exploitation == "none"
if tech_impact == "total" and mission_prevalence == "essential":
return "Track*"
return "Track"
Step 4: Generate Triage Report
# Run the SSVC triage script against scan results
python3 scripts/process.py --input scan_results.csv --output ssvc_triage_report.json
# View summary
cat ssvc_triage_report.json | python3 -m json.tool | head -50
Integration with Vulnerability Scanners
Import from Nessus CSV
# Export Nessus scan as CSV, then process
python3 scripts/process.py \
--input nessus_export.csv \
--format nessus \
--output ssvc_results.json
Import from OpenVAS
# Export OpenVAS results as XML
python3 scripts/process.py \
--input openvas_report.xml \
--format openvas \
--output ssvc_results.json
Validation and Testing
# Test SSVC decision logic with known CVEs
python3 -c "
from scripts.process import ssvc_decision
# CVE-2024-3400 - Palo Alto PAN-OS command injection (KEV listed)
assert ssvc_decision('active', 'total', 'yes', 'essential', 'material') == 'Act'
# CVE-2024-21887 - Ivanti Connect Secure (PoC available)
assert ssvc_decision('poc', 'total', 'yes', 'support', 'minimal') == 'Attend'
print('All SSVC decision tests passed')
"
References
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