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Automatically detect and highlight CVE IDs on web pages with vulnerability information from Vulners.com Vulners Lookup: Instant CVE Context in Your Browser Automatically detect and highlight CVE IDs on any web page—powered by the Vulners vulnerability knowledge graph. 🔸 Key Features • Real-time CVE detection — instantly spot vulnerabilities on any page, from blogs and advisories to GitHub repositories. • On-hover insights — see CVSS severity, EPSS probability, AI-driven impact scoring, Known Exploited Vulnerabilities (KEV) status, and reference links in a clean, compact card. • One-click deep dive — open any CVE on [Vulners.com](https://vulners.com/) for full details, including descriptions, affected products, exploits, advisories, and patch information. • High-quality data — built on Vulners’ continuously updated knowledge graph, aggregating over 200 trusted sources with real-time enrichment. 🔸 Who Benefits • Security engineers and vulnerability researchers • SOC and incident response teams • Red teams and penetration testers • DevSecOps and SRE professionals reviewing documentation, PRs, or vendor advisories 🔸 How It Works 1. Install the extension. 2. Visit any website with vulnerability references. 3. CVE IDs are automatically highlighted—hover for instant context, click to explore full details. 🔸 Privacy & Permissions • No account required. • The extension only scans the page you’re viewing to identify CVE patterns. • Minimal metadata is fetched securely from Vulners to render context cards. • Built with minimal permissions and low overhead.
Mar 28, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.