The Limitations of KEV and EPSS in Vulnerability Prioritization

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James Berthoty highlights a critical issue in cybersecurity: the over-reliance on tools like Known Exploited Vulnerabilities (KEV) and Exploit Prediction Scoring System (EPSS) for vulnerability prioritization. While useful, these tools are often treated as “silver bullets,” ignoring contextual factors like cloud-native architectures, where many vulnerabilities may be unexploitable.

OX Security’s recent report demonstrates that many KEV-listed vulnerabilities are irrelevant in containerized environments. This reinforces the need for better reachability analysis and environmental context in vulnerability management.

🔗 OX Security Report: https://lnkd.in/eUZmdPMb

You Should Know: Practical Vulnerability Prioritization Techniques

1. Verify Exploitability with Reachability Analysis

Instead of blindly patching KEV-listed vulnerabilities, assess whether they are reachable in your environment.

Linux Command to Check Open Ports & Services:

sudo netstat -tulnp 

Windows Equivalent:

netstat -ano 

2. Filter Vulnerabilities Based on Environmental Context

Use tools like Grype, Trivy, or Anchore to scan container images but cross-check with runtime context.

Scan a Docker Image with Trivy:

trivy image <image_name> 
  1. Prioritize Based on EPSS + CVSS + KEV

Combine multiple metrics for better decision-making:

  • EPSS Score (Exploit Prediction)
  • CVSS Score (Severity)
  • KEV Status (Active Exploitation)

Fetch EPSS Data via API:

curl "https://api.first.org/data/v1/epss?cve=CVE-2023-1234" 

4. Automate False Positive Reduction

Use OpenVAS or Nessus with custom policies to exclude irrelevant vulnerabilities.

Run OpenVAS Scan:

omp --username admin --password admin --xml="<get_tasks/>" 

5. Runtime Protection with eBPF & Falco

Monitor for actual exploitation attempts in real-time.

Install Falco for Runtime Security:

sudo apt-get install -y falco 
sudo systemctl start falco 

What Undercode Say

Vulnerability management is not just about patching everything labeled “critical.” Blind compliance leads to wasted effort, while ignoring contextual risks can be catastrophic. The future lies in:
– AI-driven exploitability prediction
– Automated reachability analysis
– Runtime-based vulnerability scoring

Key Commands Recap:

  • Network Analysis: netstat, ss, `nmap`
  • Container Scanning: trivy, `grype`
  • EPSS Lookup: `curl` API queries
  • Runtime Security: falco, `eBPF` tools

Prediction

As cloud-native adoption grows, traditional vulnerability scoring systems (KEV, EPSS) will evolve to include environmental exploitability metrics. Companies ignoring this shift will face either compliance fatigue or missed real threats.

Expected Output:

A structured, actionable approach to vulnerability management that balances automation with contextual risk assessment.

IT/Security Reporter URL:

Reported By: James Berthoty – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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