Summary
API
This website contacted 7 IPs in 1 country across 11 domains to perform 18 HTTP transactions. The main domain is metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app and was registered 6 years ago.
Submitted URL: https://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app/embedded-wallets/sdk/unity
AI Security Verdict
High Risk
Confidence: 70%
Page displays MetaMask branding on an unranked Vercel subdomain with unverified phishing reports but no credential forms, resulting in moderate risk.
Risk Factors (3)
Details
Page Title
Embedded Wallets SDK for Unity | MetaMask developer documentation
Scan Type
public
Domain Name Analysis
Within the application-focused generic top-level domain (.app), 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app' is registered, featuring subdomain 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside 4 consonants. Splitting it apart reveals two words: ver, cel. Median word length is three characters. 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 |
|---|---|---|---|
| 6 | 64.239.123.193 | United States | AS16509Amazon.com, Inc. |
| 2 | 18.245.31.112Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 2 | 104.17.208.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 216.198.79.3 | United States | AS16509Amazon.com, Inc. |
| 2 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 64.29.17.3 | United States | AS16509Amazon.com, Inc. |
| 2 | 18.245.31.100Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 18 | 7 | - | - |
Detected Technologies11
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