Security Scan Report: metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app

Redirected to:
https://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 30 IPs in 2 countries across 21 domains to perform 693 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded-wallets

Effective URL:
https://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded...
Redirected

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Page claims to be MetaMask developer documentation but runs on an unranked vercel.app subdomain and has two single-source phishing reports against it. No credential or payment form was found, so this is brand-impersonation risk rather than confirmed credential phishing; use the official MetaMask docs domain instead.

Risk Factors (4)
Brand impersonation of MetaMask on a non-official, unranked vercel.app subdomain
Two phishing threat-intelligence reports against the domain and a URL on that domain
Unknown subdomain age on an instant-publishing hosting platform
Circular redirect on the final URL
Domain age information unavailable

Details

Page Title

What are Embedded Wallets? | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain name 'metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-fbv47wj26-consensys-ddffed67'. The core label 'vercel' covers 6 characters with 2 vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded-wallets

Page Load Overview

6.79s
Total Load Time
6.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:5,767 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
65%
documentation technical
56%
cryptocurrency blockchain
39%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
23216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
23104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2364.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
23142.251.20.97Google · CDNUnited States
AS15169Google LLC
23146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
233.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
23104.16.138.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
23104.17.128.172Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
69330--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1D3313C9150897E24267B93AA5AA3E8E007724EC535D7B8F27E4B39AF01F514527CB3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qh7/H5gnzBVsY383eBvzpOUKRkBnerG9xVsGPjPG6wUub23r27nXhVEcgZRdQ:I/H58zzsEOUSa90Gr7wUUz7nxVd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:130544:NuWTCAWnFVBxkAn3CkKgnekBegVIKDegggJChIHIqE0CCCGB2AIIlAEnIgOQw4AACcCBZAwMOmhKJ4EABjKg4iATzhWCAD/U

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

Average Hash:244f8347474fcfde
Perceptual Hash:b00a5f23576a4f2e
Difference Hash:cc9a379d96969e2c
Wavelet Hash:000f83474747dfde
Color Hash:#b7bf40

Other Hashes

Crop Resistant:cc9a379d96969e2c

Scan History

Scan history not available

Unable to load historical scan data