Atlas / Skills / mukul975 / Triaging Vulnerabilities With Ssvc Framework

Triaging Vulnerabilities With Ssvc FrameworkSAFE

skills/mukul975/triaging-vulnerabilities-with-ssvc-framework

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.0
Hosts
—
License
Apache-2.0
Stars
33,870
01

Overview

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Read from source at commit 6c59587be632OBSERVED · 2026-10-07
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: triaging-vulnerabilities-with-ssvc-framework
description: 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.
domain: cybersecurity
subdomain: vulnerability-management
tags:
- ssvc
- vulnerability-triage
- cisa
- vulnerability-prioritization
- decision-tree
- cvss
- remediation
- risk-management
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- ID.RA-01
- ID.RA-02
- ID.IM-02
- ID.RA-06
mitre_attack:
- T1190
- T1203
- T1068
---

# 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`, 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 |

## Workflow

### 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":
  
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
declared (5 observation(s))
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha 6c59587be632full audit observations/trust-audit/skill/mukul975__triaging-vulnerabilities-with-ssvc-framework.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-076c59587be632SAFEB89first audit
05

Questions

What does the Triaging Vulnerabilities With Ssvc Framework skill do?

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Is Triaging Vulnerabilities With Ssvc Framework safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Triaging Vulnerabilities With Ssvc Framework access on my machine?

The audit observed that it reaches the network. Each of those is consistent with what it says it does. Secrets in the source: none found.

How current is this page?

The grade is for one exact copy of the source (6c59587be632), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.

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