Security Scan Report: metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 34 IPs in 2 countries across 21 domains to perform 649 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/metamask-connect/multichain

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Unofficial MetaMask-branded docs clone on a Vercel subdomain flagged as phishing by three threat-intel indicators. No credential or payment form on this page, but do not connect a wallet or run its code.

Risk Factors (5)
Phishing reports against the primary domain and its URLs
MetaMask/Consensys branding on a domain not controlled by that brand (vercel.app tenant)
Lookalike subdomain mimicking official developer documentation
Unranked domain with unknown tenant age on a shared platform
Circular redirect in the redirect chain
Domain age information unavailable

Details

Page Title

MetaMask Connect Multichain - Cross-Chain Wallet API | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain name 'metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-keec0mi8n-consensys-ddffed67'. Count 6 characters in 'vercel' split between two vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/metamask-connect/multichain

Page Load Overview

21.23s
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:6,012 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
89%
technology software
79%
documentation technical
58%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1964.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1964.239.109.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19142.251.110.97Google · CDNUnited States
AS15169Google LLC
19104.16.139.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
193.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
19104.17.128.172Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19104.18.40.240Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
64934--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131D352398150497E29226BD7A95EA3E8E117724DC630D678F3BD4B39EF41F918122CB3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:n/H58ais9qqSa90GrikUkz70z3e4eheLneterer+4Lwy:nP58aisNi/8wy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:130268:G8jhgyEElCeESQkgFQagVthHCQBBaAJQCjEKAJ64BYEUgiCMHk1tUEJgQJAoYMEVBBgAhABAVzaR4xfDSIgLGBFCQQgIAKmg

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:104f83c3cfcf83fe
Perceptual Hash:bc0a4708556e737e
Difference Hash:a0b91f36be9e260c
Wavelet Hash:000f8387df0fc3ee
Color Hash:#693a78

Other Hashes

Crop Resistant:a0b91f36be9e260c

Scan History

Scan history not available

Unable to load historical scan data