Summary
This website contacted 4 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app and was registered NaN years ago.
Submitted URL: http://metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app/embedded-wallets/sdk/react-native/advanced/custom-authentication
Effective URL: https://metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app/embedded-wallets/sdk/react-native/advanced/custom-authentication/Redirected
AI Security Verdict
High Risk
Confidence: 88%
The site hosts high‑severity malicious JavaScript (WebSocket C2) and triggers Safe Browsing phishing alerts, warranting a high‑risk classification.
Risk Factors
Details
Page Title
Custom authentication in PnP React Native SDK | MetaMask developer documentation
Scan Type
public
Language
English
Category
technology software
(95%)Domain Information
You're looking at domain 'metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-l8lvh00ol-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters with two vowels and four consonants. It segments into two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 7 | 216.198.79.195 | United States | AS16509Amazon.com, Inc. |
| 5 | 18.245.31.112Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 5 | 64.239.123.1 | United States | AS16509Amazon.com, Inc. |
| 5 | 104.17.208.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 22 | 4 | - | - |
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data