Skill: CVE Attribution (Intel ICS)

Cross-reference investigation narratives and COP data to attribute CVEs.

1|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/rjonhaas/SIFTics --skill skill-cve-attribution-intel-ics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Skill: CVE Attribution (Intel ICS)
Source: https://github.com/rjonhaas/SIFTics/tree/main/skills/cve-attribution
Command: npx skills add https://github.com/rjonhaas/SIFTics --skill skill-cve-attribution-intel-ics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It determines which known vulnerabilities (specific CVEs) likely explain observed attacker techniques in a completed DFIR investigation narrative.

Core Features & Use Cases

  • CVE-focused evidence reasoning: correlates version-confirming artifacts (software versions, installer strings, registry/amcache entries) with exploitation mechanisms described in the investigation report and COP.
  • Confidence-based attribution: produces High/Moderate/Low confidence CVE conclusions, or safely falls back to CWE/vulnerability-class statements without inventing CVE IDs.
  • Structured output and report integration: writes a dedicated cve_attribution.md artifact and instructs how to merge Section 3B back into the investigation report and update timelines, COP, and IOC tables.

Quick Start

Use the CVE Attribution Skill after your investigation report and COP are finalized to generate cve_attribution.md and then re-run the investigation-report integration step.

Frequently Asked Questions about Skill: CVE Attribution (Intel ICS)

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I attribute CVEs to exploitation events found during a DFIR investigation?

CVE attribution cross-references your completed investigation narrative and common operating picture for version and behavior signals to identify likely known vulnerabilities explaining observed attacker techniques.

What is confidence-based vulnerability mapping in digital forensics?

Confidence-based vulnerability mapping correlates version-confirming artifacts with exploitation mechanisms to produce High, Moderate, or Low confidence CVE conclusions, safely falling back to CWE statements when evidence is insufficient.

How do I map observed attacker behavior to specific CVEs using host artifacts?

You map behaviors by correlating version-confirming artifacts like software versions, installer strings, and registry or amcache entries with exploitation patterns described in your investigation report and common operating picture.

Do I need a finalized investigation report before starting CVE attribution?

Yes, CVE attribution requires finalized investigation_report.md and cop.md files to cross-reference version signals and exploitation patterns, functioning as a post-investigation step rather than a standalone analysis tool.

What's the best way to integrate vulnerability attribution findings into an executive narrative?

The skill generates a dedicated cve_attribution.md artifact and instructs how to merge Section 3B back into the investigation report while updating timelines, the common operating picture, and IOC tables.

Can I use CVE attribution if I cannot confirm specific software versions across hosts?

Yes, when evidence is insufficient for specific CVE identification, the skill safely falls back to CWE or vulnerability-class statements without inventing CVE IDs, ensuring accurate but conservative attribution.