Initial commit - 611 cybersecurity skills across all subdomains

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---
name: triaging-vulnerabilities-with-ssvc-framework
description: Triage and prioritize vulnerabilities using CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree framework to produce actionable remediation priorities.
domain: cybersecurity
subdomain: vulnerability-management
tags: [ssvc, vulnerability-triage, cisa, vulnerability-prioritization, decision-tree, cvss, remediation, risk-management]
version: "1.0"
author: mahipal
license: MIT
---
# 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**.
## Prerequisites
- Python 3.9+ with `requests`, `pandas`, and `jinja2` libraries
- 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)
```bash
# 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 |
## Implementation Steps
### Step 1: Ingest Vulnerability Data
```python
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
```python
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
```python
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
```bash
# 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
```bash
# Export Nessus scan as CSV, then process
python3 scripts/process.py \
--input nessus_export.csv \
--format nessus \
--output ssvc_results.json
```
### Import from OpenVAS
```bash
# Export OpenVAS results as XML
python3 scripts/process.py \
--input openvas_report.xml \
--format openvas \
--output ssvc_results.json
```
## Validation and Testing
```bash
# 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
- [CISA SSVC Framework](https://www.cisa.gov/stakeholder-specific-vulnerability-categorization-ssvc)
- [CERT/CC SSVC Documentation](https://certcc.github.io/SSVC/)
- [CISA SSVC Guide PDF](https://www.cisa.gov/sites/default/files/publications/cisa-ssvc-guide%20508c.pdf)
- [FIRST EPSS API](https://www.first.org/epss/)
- [CISA Known Exploited Vulnerabilities](https://www.cisa.gov/known-exploited-vulnerabilities-catalog)
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# Standards and References - SSVC Vulnerability Triage
## Primary Standards
### CISA SSVC Framework
- **Source**: Cybersecurity and Infrastructure Security Agency (CISA)
- **URL**: https://www.cisa.gov/stakeholder-specific-vulnerability-categorization-ssvc
- **Version**: SSVC v2.0 (2022 revision by CISA with SEI)
- **Purpose**: Provides a decision-tree methodology for vulnerability prioritization based on five decision points specific to the stakeholder's context
### CERT/CC SSVC Original Research
- **Source**: Carnegie Mellon University Software Engineering Institute
- **URL**: https://certcc.github.io/SSVC/
- **Publication**: "Prioritizing Vulnerability Response: A Stakeholder-Specific Vulnerability Categorization" (2019)
- **Authors**: Jonathan Spring, Eric Hatleback, Allen Householder, Art Manion, Deana Shick
- **DOI**: https://doi.org/10.1184/R1/12124386
### CVSS v3.1 and v4.0
- **Source**: Forum of Incident Response and Security Teams (FIRST)
- **URL**: https://www.first.org/cvss/
- **CVSS v3.1 Specification**: https://www.first.org/cvss/v3.1/specification-document
- **CVSS v4.0 Specification**: https://www.first.org/cvss/v4.0/specification-document
- **Relevance**: SSVC complements CVSS by adding contextual decision points beyond base score severity
### EPSS - Exploit Prediction Scoring System
- **Source**: FIRST EPSS Special Interest Group
- **URL**: https://www.first.org/epss/
- **API Endpoint**: https://api.first.org/data/v1/epss
- **Model Documentation**: https://www.first.org/epss/model
- **Relevance**: EPSS probability scores inform the exploitation status decision point in SSVC
## Regulatory and Compliance Context
### CISA Binding Operational Directive 22-01
- **Title**: Reducing the Significant Risk of Known Exploited Vulnerabilities
- **URL**: https://www.cisa.gov/binding-operational-directive-22-01
- **Relevance**: Mandates federal agencies to remediate KEV-listed vulnerabilities within specified timeframes; SSVC aligns remediation priorities with BOD 22-01 requirements
### NIST SP 800-40 Rev 4
- **Title**: Guide to Enterprise Patch Management Planning
- **URL**: https://csrc.nist.gov/publications/detail/sp/800-40/rev-4/final
- **Relevance**: Provides organizational context for patch management decisions that SSVC informs
### NIST Cybersecurity Framework (CSF) 2.0
- **Function**: IDENTIFY (ID.RA - Risk Assessment)
- **URL**: https://www.nist.gov/cyberframework
- **Relevance**: SSVC directly supports the risk assessment category for vulnerability prioritization
## Data Sources
### CISA Known Exploited Vulnerabilities (KEV) Catalog
- **URL**: https://www.cisa.gov/known-exploited-vulnerabilities-catalog
- **JSON Feed**: https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json
- **Update Frequency**: Updated as new exploited vulnerabilities are confirmed
### National Vulnerability Database (NVD)
- **URL**: https://nvd.nist.gov/
- **API v2**: https://services.nvd.nist.gov/rest/json/cves/2.0
- **Relevance**: Provides CVSS scores and vulnerability details used in SSVC decision points
### MITRE CVE Program
- **URL**: https://cve.mitre.org/
- **CVE List**: https://www.cve.org/
- **Relevance**: CVE identifiers are the primary key for linking vulnerability data across SSVC decision points
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# Workflows - SSVC Vulnerability Triage
## Workflow 1: Initial SSVC Triage Pipeline
### Trigger
New vulnerability scan results imported from Nessus, Qualys, OpenVAS, or other scanner.
### Steps
1. **Ingest Scan Results**
- Parse scanner output (CSV, XML, or JSON format)
- Extract CVE identifiers, affected hosts, CVSS vectors, and descriptions
- Deduplicate findings by CVE + host combination
2. **Enrich with External Intelligence**
- Query CISA KEV catalog JSON feed for exploitation status
- Query FIRST EPSS API for exploitation probability scores
- Query NVD API v2 for CVSS v3.1/v4.0 vectors and CWE mappings
- Cache API responses to avoid rate limiting (NVD: 5 requests/30s without key, 50/30s with key)
3. **Evaluate SSVC Decision Points**
- **Exploitation**: Map KEV membership to "Active", EPSS > 0.5 to "PoC", otherwise "None"
- **Technical Impact**: Parse CVSS vector; if Scope:Changed or CIA all High, mark "Total"
- **Automatability**: Network vector + Low complexity + No user interaction = "Yes"
- **Mission Prevalence**: Cross-reference affected assets with CMDB criticality tags
- **Public Well-Being**: Map asset function to safety impact categories
4. **Apply Decision Tree**
- Walk the CISA SSVC decision tree with evaluated decision points
- Assign outcome: Track, Track*, Attend, or Act
5. **Generate Prioritized Report**
- Sort vulnerabilities by SSVC outcome (Act > Attend > Track* > Track)
- Within each category, secondary sort by EPSS score descending
- Output JSON report and CSV summary for ticketing integration
## Workflow 2: Continuous SSVC Monitoring
### Trigger
Daily scheduled job (cron or CI/CD pipeline).
### Steps
1. **Refresh CISA KEV Catalog**
```bash
curl -s -o /tmp/kev_catalog.json \
"https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json"
```
2. **Check Previously Tracked CVEs Against Updated KEV**
- Compare current open vulnerabilities against latest KEV additions
- If a previously "Track" or "Track*" CVE appears in KEV, re-evaluate to "Attend" or "Act"
3. **Refresh EPSS Scores**
```bash
curl -s "https://api.first.org/data/v1/epss?cve=CVE-2024-3400,CVE-2024-21887" | \
python3 -c "import sys,json; print(json.dumps(json.load(sys.stdin)['data'], indent=2))"
```
4. **Update SSVC Outcomes**
- Re-run decision tree for all open vulnerabilities with refreshed data
- Flag any outcome changes (e.g., Track -> Attend)
5. **Send Notifications**
- Slack/Teams webhook for any new "Act" or "Attend" outcomes
- Email digest for "Track*" changes
- Update Jira/ServiceNow tickets with new SSVC classification
## Workflow 3: Asset-Context SSVC Enrichment
### Trigger
New asset onboarded or asset criticality classification updated.
### Steps
1. **Import Asset Inventory**
- Pull from CMDB (ServiceNow, Snipe-IT, or similar)
- Map each asset to mission prevalence category:
- Minimal: development, test environments
- Support: backup systems, monitoring infrastructure
- Essential: production databases, authentication servers, customer-facing apps
2. **Map Public Well-Being Impact**
- Healthcare systems, SCADA/ICS, transportation: Irreversible
- Public web services, financial processing: Material
- Internal tools, development systems: Minimal
3. **Re-Evaluate Open Vulnerabilities**
- Apply updated asset context to all open vulnerability SSVC evaluations
- Generate delta report showing outcome changes
## Workflow 4: SSVC Metrics and Reporting
### Trigger
Weekly/monthly reporting cycle.
### Metrics to Track
| Metric | Calculation | Target |
|--------|------------|--------|
| Mean Time to Remediate (Act) | Avg days from Act classification to closure | < 2 days |
| Mean Time to Remediate (Attend) | Avg days from Attend classification to closure | < 14 days |
| SLA Breach Rate | % of vulns not remediated within SLA | < 5% |
| Act Backlog | Count of open Act-classified vulnerabilities | 0 |
| Attend Backlog | Count of open Attend-classified vulnerabilities | < 10 |
| Coverage Rate | % of vulnerabilities processed through SSVC | > 95% |
### Report Generation
```bash
python3 scripts/process.py \
--mode report \
--input ssvc_results.json \
--period weekly \
--output ssvc_metrics_report.html
```
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#!/usr/bin/env python3
"""SSVC Vulnerability Triage Processor.
Evaluates vulnerabilities against CISA's Stakeholder-Specific Vulnerability
Categorization (SSVC) decision tree and produces prioritized triage reports.
"""
import argparse
import csv
import json
import sys
import time
import xml.etree.ElementTree as ET
from datetime import datetime, timezone
from pathlib import Path
import requests
KEV_URL = "https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json"
EPSS_API = "https://api.first.org/data/v1/epss"
NVD_API = "https://services.nvd.nist.gov/rest/json/cves/2.0"
SSVC_SLA = {
"Act": 2,
"Attend": 14,
"Track*": 60,
"Track": 90,
}
def fetch_kev_catalog():
"""Download the CISA Known Exploited Vulnerabilities catalog."""
resp = requests.get(KEV_URL, timeout=30)
resp.raise_for_status()
data = resp.json()
return {v["cveID"] for v in data.get("vulnerabilities", [])}
def fetch_epss_scores(cve_ids):
"""Fetch EPSS scores for a list of CVE IDs from FIRST API."""
scores = {}
batch_size = 100
for i in range(0, len(cve_ids), batch_size):
batch = cve_ids[i : i + batch_size]
params = {"cve": ",".join(batch)}
resp = requests.get(EPSS_API, params=params, timeout=30)
if resp.status_code == 200:
for entry in resp.json().get("data", []):
scores[entry["cve"]] = {
"epss": float(entry.get("epss", 0)),
"percentile": float(entry.get("percentile", 0)),
}
time.sleep(1)
return scores
def fetch_nvd_cve(cve_id, api_key=None):
"""Fetch CVE details from NVD API v2."""
params = {"cveId": cve_id}
headers = {}
if api_key:
headers["apiKey"] = api_key
resp = requests.get(NVD_API, params=params, headers=headers, timeout=30)
if resp.status_code == 200:
vulns = resp.json().get("vulnerabilities", [])
if vulns:
return vulns[0].get("cve", {})
return None
def evaluate_exploitation(cve_id, kev_set, epss_scores):
"""Determine exploitation status: active, poc, or none."""
if cve_id in kev_set:
return "active"
epss_data = epss_scores.get(cve_id, {})
if epss_data.get("epss", 0) > 0.5:
return "poc"
if epss_data.get("epss", 0) > 0.1:
return "poc"
return "none"
def evaluate_technical_impact(cvss_vector):
"""Assess technical impact from CVSS vector string."""
if not cvss_vector:
return "partial"
vector_upper = cvss_vector.upper()
if "S:C" in vector_upper:
return "total"
if "C:H" in vector_upper and "I:H" in vector_upper and "A:H" in vector_upper:
return "total"
if "C:H" in vector_upper and "I:H" in vector_upper:
return "total"
return "partial"
def evaluate_automatability(cvss_vector):
"""Determine if exploitation can be automated."""
if not cvss_vector:
return "no"
vector_upper = cvss_vector.upper()
network = "AV:N" in vector_upper
low_complexity = "AC:L" in vector_upper
no_user_interaction = "UI:N" in vector_upper
if network and low_complexity and no_user_interaction:
return "yes"
return "no"
def ssvc_decision(exploitation, tech_impact, automatability, mission_prevalence, public_wellbeing):
"""Apply CISA SSVC decision tree to produce triage outcome.
Returns one of: Act, Attend, Track*, Track
"""
if exploitation == "active":
if automatability == "yes":
return "Act"
if tech_impact == "total":
if mission_prevalence in ("essential", "support"):
return "Act"
return "Attend"
if mission_prevalence == "essential":
return "Attend"
if public_wellbeing in ("irreversible", "material"):
return "Attend"
return "Attend"
if exploitation == "poc":
if automatability == "yes" and tech_impact == "total":
if mission_prevalence in ("essential", "support"):
return "Attend"
return "Track*"
if tech_impact == "total" and mission_prevalence == "essential":
return "Attend"
if public_wellbeing == "irreversible":
return "Attend"
return "Track*"
# exploitation == "none"
if tech_impact == "total" and mission_prevalence == "essential":
return "Track*"
if automatability == "yes" and mission_prevalence == "essential":
return "Track*"
return "Track"
def parse_nessus_csv(filepath):
"""Parse Nessus CSV export into vulnerability records."""
vulns = []
with open(filepath, "r", encoding="utf-8") as f:
reader = csv.DictReader(f)
for row in reader:
cve = row.get("CVE", "").strip()
if not cve or not cve.startswith("CVE-"):
continue
vulns.append(
{
"cve_id": cve,
"host": row.get("Host", "unknown"),
"port": row.get("Port", ""),
"plugin_name": row.get("Name", ""),
"severity": row.get("Severity", ""),
"cvss_vector": row.get("CVSS V3 Vector", ""),
"description": row.get("Synopsis", ""),
}
)
return vulns
def parse_openvas_xml(filepath):
"""Parse OpenVAS XML report into vulnerability records."""
vulns = []
tree = ET.parse(filepath)
root = tree.getroot()
for result in root.iter("result"):
nvt = result.find("nvt")
if nvt is None:
continue
cve_elem = nvt.find("cve")
if cve_elem is None or not cve_elem.text or cve_elem.text == "NOCVE":
continue
host_elem = result.find("host")
port_elem = result.find("port")
vulns.append(
{
"cve_id": cve_elem.text.strip(),
"host": host_elem.text.strip() if host_elem is not None else "unknown",
"port": port_elem.text.strip() if port_elem is not None else "",
"plugin_name": nvt.findtext("name", ""),
"severity": result.findtext("severity", ""),
"cvss_vector": nvt.findtext("tags", ""),
"description": result.findtext("description", ""),
}
)
return vulns
def parse_generic_csv(filepath):
"""Parse generic CSV with cve_id, host, cvss_vector columns."""
vulns = []
with open(filepath, "r", encoding="utf-8") as f:
reader = csv.DictReader(f)
for row in reader:
cve = row.get("cve_id", "").strip()
if not cve:
continue
vulns.append(
{
"cve_id": cve,
"host": row.get("host", "unknown"),
"port": row.get("port", ""),
"plugin_name": row.get("plugin_name", ""),
"severity": row.get("severity", ""),
"cvss_vector": row.get("cvss_vector", ""),
"description": row.get("description", ""),
"mission_prevalence": row.get("mission_prevalence", "support"),
"public_wellbeing": row.get("public_wellbeing", "minimal"),
}
)
return vulns
def run_triage(vulns, kev_set, epss_scores, default_mission="support", default_wellbeing="minimal"):
"""Run SSVC triage on a list of vulnerability records."""
results = []
for vuln in vulns:
cve_id = vuln["cve_id"]
exploitation = evaluate_exploitation(cve_id, kev_set, epss_scores)
tech_impact = evaluate_technical_impact(vuln.get("cvss_vector", ""))
automatability = evaluate_automatability(vuln.get("cvss_vector", ""))
mission = vuln.get("mission_prevalence", default_mission)
wellbeing = vuln.get("public_wellbeing", default_wellbeing)
outcome = ssvc_decision(exploitation, tech_impact, automatability, mission, wellbeing)
epss_data = epss_scores.get(cve_id, {})
results.append(
{
"cve_id": cve_id,
"host": vuln.get("host", "unknown"),
"port": vuln.get("port", ""),
"plugin_name": vuln.get("plugin_name", ""),
"ssvc_outcome": outcome,
"sla_days": SSVC_SLA[outcome],
"exploitation_status": exploitation,
"technical_impact": tech_impact,
"automatability": automatability,
"mission_prevalence": mission,
"public_wellbeing": wellbeing,
"epss_score": epss_data.get("epss", 0),
"epss_percentile": epss_data.get("percentile", 0),
"in_kev": cve_id in kev_set,
}
)
outcome_order = {"Act": 0, "Attend": 1, "Track*": 2, "Track": 3}
results.sort(key=lambda r: (outcome_order.get(r["ssvc_outcome"], 4), -r["epss_score"]))
return results
def generate_report(results, output_path, report_format="json"):
"""Generate triage report in JSON or CSV format."""
summary = {
"generated_at": datetime.now(timezone.utc).isoformat(),
"total_vulnerabilities": len(results),
"outcome_counts": {},
"results": results,
}
for r in results:
outcome = r["ssvc_outcome"]
summary["outcome_counts"][outcome] = summary["outcome_counts"].get(outcome, 0) + 1
if report_format == "csv":
if results:
with open(output_path, "w", newline="", encoding="utf-8") as f:
writer = csv.DictWriter(f, fieldnames=results[0].keys())
writer.writeheader()
writer.writerows(results)
else:
with open(output_path, "w", encoding="utf-8") as f:
json.dump(summary, f, indent=2)
return summary
def main():
parser = argparse.ArgumentParser(description="SSVC Vulnerability Triage Processor")
parser.add_argument("--input", required=True, help="Path to vulnerability scan results")
parser.add_argument("--output", default="ssvc_triage_report.json", help="Output report path")
parser.add_argument(
"--format",
choices=["nessus", "openvas", "generic"],
default="generic",
help="Input format",
)
parser.add_argument(
"--output-format", choices=["json", "csv"], default="json", help="Output format"
)
parser.add_argument("--nvd-api-key", help="NVD API key for higher rate limits")
parser.add_argument(
"--mission-prevalence",
choices=["minimal", "support", "essential"],
default="support",
help="Default mission prevalence",
)
parser.add_argument(
"--public-wellbeing",
choices=["minimal", "material", "irreversible"],
default="minimal",
help="Default public well-being impact",
)
args = parser.parse_args()
print("[*] Fetching CISA KEV catalog...")
kev_set = fetch_kev_catalog()
print(f" Loaded {len(kev_set)} known exploited vulnerabilities")
print(f"[*] Parsing input file: {args.input}")
if args.format == "nessus":
vulns = parse_nessus_csv(args.input)
elif args.format == "openvas":
vulns = parse_openvas_xml(args.input)
else:
vulns = parse_generic_csv(args.input)
print(f" Found {len(vulns)} vulnerability records")
cve_ids = list({v["cve_id"] for v in vulns})
print(f"[*] Fetching EPSS scores for {len(cve_ids)} unique CVEs...")
epss_scores = fetch_epss_scores(cve_ids)
print("[*] Running SSVC triage...")
results = run_triage(
vulns, kev_set, epss_scores, args.mission_prevalence, args.public_wellbeing
)
print(f"[*] Generating report: {args.output}")
summary = generate_report(results, args.output, args.output_format)
print("\n[+] SSVC Triage Summary:")
for outcome, count in sorted(summary["outcome_counts"].items()):
print(f" {outcome}: {count}")
print(f" Total: {summary['total_vulnerabilities']}")
if __name__ == "__main__":
main()