Summary
This website contacted 8 IPs in 1 country across 11 domains to perform 2 HTTP transactions. The main domain is metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app and was registered 6 years ago.
Submitted URL: https://metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app/embedded-wallets/sdk/ios
AI Security Verdict
High Risk
Confidence: 92%
The page hosts a high‑severity JavaScript backdoor (YARA HIGH) and has unverified phishing IoCs, indicating active malware distribution. Treat as high‑risk and do not interact.
Risk Factors
Details
Page Title
Embedded Wallets SDK for iOS | MetaMask developer documentation
Scan Type
public
Language
English
Category
technology software
(88%)Domain Information
Domain 'metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-p13jojaa8-consensys-ddffed67'. The core label 'vercel' covers 6 characters containing 2 vowels alongside four consonants. Breaking it apart gives 2 words: ver, cel. Average segment length settles at 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 |
|---|---|---|---|
| 5 | 216.198.79.195 | United States | AS16509Amazon.com, Inc. |
| 2 | 18.245.31.100Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 2 | 104.17.208.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 64.239.123.1 | United States | AS16509Amazon.com, Inc. |
| 2 | 64.29.17.195 | United States | AS16509Amazon.com, Inc. |
| 2 | 64.239.123.65 | United States | AS16509Amazon.com, Inc. |
| 2 | 18.245.31.35Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 2 | 18.245.31.112Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 19 | 8 | - | - |
Page Statistics
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