Summary
API
Submitted URL: http://metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app/embedded-wallets/sdk/ios
AI Security Verdict
Low Risk
Confidence: 55%
Reads as genuine MetaMask iOS SDK docs on a Vercel preview subdomain, with no credential/payment forms and no malware or threat-intel hits. Unverifiable hosting and a circular redirect keep it at moderate risk.
Risk Factors (4)
Safety Factors (6)
Details
Page Title
Embedded Wallets SDK for iOS | MetaMask developer documentation
Scan Type
public
Domain Name Analysis
The domain name 'metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-4q672pqsp-consensys-ddffed67'. Count 6 characters in 'vercel' containing two vowels alongside four consonants. Word splitting yields 2 words: ver, cel. Median word length is 3 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 |
|---|---|---|---|
| 23 | 64.29.17.131Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 19 | 104.17.208.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 19 | 64.239.109.65Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 19 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 19 | 146.75.121.55Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 19 | 3.174.47.131Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 19 | 104.16.140.209Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 19 | 104.18.31.173Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 19 | 104.16.160.168Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 19 | 172.64.147.16Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 612 | 32 | - | - |
Detected Technologies13
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