Security Scan Report: metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app

Redirected to:
https://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/embedded...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 33 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-75mpj2s96-consensys-ddffed67.vercel.app/embedded-wallets/sdk/unity

Effective URL:
https://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/embedded...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 82%

9
Risk Score

Lookalike vercel.app host posing as MetaMask developer documentation, with multiple single-to-multi-source phishing Indicators of Compromise on the domain and its URLs. Do not enter wallet credentials or seed phrases.

Risk Factors (4)
Phishing Indicators of Compromise on the primary domain and three of its URLs (two independent sources)
Impersonation of the MetaMask / ConsenSys developer-documentation brand on an unofficial vercel.app subdomain with a lookalike hostname
Circular redirect on the captured navigation
Hosted on a free/shared platform subdomain whose creation date cannot be established
Domain age information unavailable

Details

Page Title

Embedded Wallets SDK for Unity | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain name 'metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-75mpj2s96-consensys-ddffed67'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. It segments into 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/embedded-wallets/sdk/unity

Page Load Overview

10.51s
Total Load Time
4.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:9,823 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
63%
cryptocurrency blockchain
46%
corporate
35%
cryptocurrency
22%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
1764.239.109.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17142.251.110.97Google · CDNUnited States
AS15169Google LLC
17146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
173.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
17104.16.141.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
57733--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143146272C2E1187B00F35FC795EA5368A6A3125ED2118B60B3BCC3B96F88D5674938D7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:v9s2wPDwdPDmPDtPDRJLPD8YtPDPXQPDw5EXdPDkpD9299kh95aPDpUPDpM:Fs2wPDwdPDmPDtPDRJLPD8YtPDPXQPDz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:201217:dUYDAIAMgIFskIMMhQE0BNIjQDcIAV4DwaXgwLOEgIhRw1wzELgCJnMioQ0MAEUyREQQfRgE4EqMBgcAHwADmKQHGZsDKA6k

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