Summary
API
Submitted URL: https://metamask-docs-ldkp21iks-consensys-ddffed67.vercel.app/embedded-wallets/sdk/flutter
AI Security Verdict
Low Risk
Confidence: 80%
The page hosts technical documentation, lacks malicious forms or scripts, and shows only weak signals; treat as low risk.
Risk Factors (2)
Safety Factors (2)
Details
Page Title
Embedded Wallets SDK for Flutter | MetaMask developer documentation
Scan Type
public
Domain Name Analysis
Domain 'metamask-docs-ldkp21iks-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'metamask-docs-ldkp21iks-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters with two vowels and four consonants. Segmentation suggests 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 |
|---|---|---|---|
| 42 | 64.29.17.195Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 21 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 21 | 64.239.109.1Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 21 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 21 | 146.75.121.55Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 21 | 3.174.47.131Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 21 | 104.18.30.173Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 21 | 104.16.140.209Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 21 | 52.13.185.92Aws · CLOUD | Boardman, Oregon, United States | AS16509Amazon.com, Inc. |
| 21 | 216.239.34.36Google · CDN | United States | AS15169Google LLC |
| 609 | 28 | - | - |
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