Open-source CVE triage in one place: KEV, EPSS, NVD and OSV combined into a single risk score
Description
CVE Intel is an open-source tool that aggregates multiple public vulnerability intelligence sources such as NVD, CISA KEV, EPSS, and OSV into a single risk score and prioritization recommendation. It supports querying CVEs, IPs, file hashes, and dependencies, providing a risk score from 0 to 100 and an urgency indicator for patching. The tool includes a local AI model for explaining findings and can be used as a desktop app, CLI, REST API, or MCP server for AI coding assistants. It does not scan or fix vulnerabilities but helps security teams prioritize patching efforts based on consolidated threat intelligence.
Reddit Discussion
A open-source tool called CVE Intel. In simple terms, it pulls a bunch of security information sources into one place, and it doubles as an MCP server, so you can plug it into any of your AI agents.It's MIT licensed and written in Rust.
Paste in a CVE and it pulls from NVD, CISA KEV, EPSS, OSV, public exploit sources and others in parallel. You get a 0–100 risk score and a short "act now or later" answer, with the evidence listed so you can check it yourself. It also handles IPs, file hashes and dependency files. You can use it as a desktop app, a CLI, a REST API, or an MCP server for Claude Code, Cursor and similar tools. The AI part is optional and runs locally by default, so nothing leaves your machine unless you switch it to a hosted model. information is only as current as the public data.
I had this idea for a while and I'm still not sure exactly where I want to take it, so if you have any suggestions, I'd love to hear them. Feel free to contribute to the project. Thank you!
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE Intel is a native Rust open-source project that consolidates data from 31 tools and 25 public security sources to assist vulnerability triage. It queries multiple sources in parallel to provide a unified risk score and patch prioritization advice, incorporating severity, exploitation probability, and known active exploitation status (e.g., CISA KEV list items are marked critical). The tool supports multiple interfaces including desktop, CLI, REST API, and integration with AI coding assistants via MCP. It features a local AI model for natural language explanations of vulnerability data, with optional cloud AI providers. CVE Intel does not perform scanning or remediation but serves as an intelligence aggregator and decision support tool for security teams.
Potential Impact
This tool improves the efficiency and accuracy of vulnerability triage by consolidating disparate public vulnerability data sources into a single actionable risk score and prioritization recommendation. It reduces manual effort in assessing CVEs and related indicators, enabling faster and more informed patching decisions. It does not itself introduce vulnerabilities or perform scanning/remediation, so its impact is on improving security operations rather than creating new risks.
Defensive Guidance
No direct mitigation is required as this is a security intelligence tool rather than a vulnerability. Organizations can adopt CVE Intel to enhance their vulnerability management processes by integrating it into their workflows. Since it does not scan or remediate, standard vulnerability management practices remain necessary. The tool is open-source and MIT licensed, allowing customization and contribution. Users should ensure they keep the tool updated and verify the currency of public data sources it queries.
Technical Details
- Source Type
- Subreddit
- cybersecurity
- Reddit Score
- 0
- Discussion Level
- minimal
- Content Source
- reddit_link_post
- Post Type
- link
- Newsworthiness Assessment
- {"score":30,"reasons":["external_link","newsworthy_keywords:rce","established_author","very_recent"],"isNewsworthy":true,"foundNewsworthy":["rce"]}
- Has External Source
- true
- Trusted Domain
- false
Threat ID: 6ad461242cdf04f6563f9e68
Added to database: 10/18/2026, 06:03:16 UTC
Last enriched: 10/18/2026, 06:03:20 UTC
Last updated: 10/19/2026, 02:48:25 UTC
Views: 14
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