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 28 IPs in 2 countries across 21 domains to perform 577 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/sdk/unity

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

AI Security Verdict

High Risk

Confidence: 76%

8
Risk Score

MetaMask-branded developer documentation on a non-official vercel.app subdomain, flagged as phishing by two threat-intel sources with circular redirect and IDS abused-hosting alerts. No forms capture data, but treat as brand impersonation.

Risk Factors (5)
Impersonation of a different entity's brand (MetaMask/Consensys) on a non-official hosting-platform subdomain
Phishing threat-intel matches on both the primary domain and a URL on this host
Circular redirect behavior on the capture
Actor-abused cloud hosting service flagged by network IDS
Unranked, unknown-age shared-hosting tenant
Domain age information unavailable

Details

Page Title

Embedded Wallets SDK for Unity | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain 'metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-fbv47wj26-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters split between two vowels and four consonants. Breaking it apart gives 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/sdk/unity

Page Load Overview

16.79s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:9,819 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
59%
cryptocurrency blockchain
44%
corporate
35%
cryptocurrency
22%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3764.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
20216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
20151.101.65.229Fastly · CDNUnited States
AS54113Fastly, Inc.
2064.239.123.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
20142.251.14.97Google · CDNUnited States
AS15169Google LLC
20146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
203.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
20104.18.30.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20104.16.141.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
57728--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D145176C2E0187B00F35FC795EA5368A6A3525ED2118B60B3BCC3B96F88D5674938D3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:e2sOIPDwdPDmPDtPDRJLPD8YtPDPXQPDw5EXdPDkpD9299kh95aPDpUPDLd:xsOIPDwdPDmPDtPDRJLPD8YtPDPXQPDg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:201213:QGlQVAEIkAUaIAUQCgFFRGEQgciUFiJRiqocSgYIuwaNAAgxQiQ0hICvcBNAFcHtEBIBykgQyIJSoCwAEOAKMAECBBQCAkji

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:000f019d9f9f839e
Perceptual Hash:9c0375c2576e472b
Difference Hash:ccb9bf25b1b03636
Wavelet Hash:000f03bd1f1f83fe
Color Hash:#1f5393

Other Hashes

Crop Resistant:ccb9bf25b1b03636

Scan History

Scan history not available

Unable to load historical scan data