Security Scan Report: metamask-web.vercel.app

Redirected to:
https://metamask-web.vercel.app/
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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 3 domains to perform 10 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://metamask-web.vercel.app/

Effective URL:
https://metamask-web.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

The site impersonates MetaMask and is flagged as phishing; treat as high‑risk and avoid.

Risk Factors (3)
Phishing indicator on primary domain
Brand impersonation of MetaMask
Unranked / low‑reputation domain
Domain age information unavailable

Details

Page Title

MetaMask

Scan Type

public

Domain Name Analysis

You're looking at domain 'metamask-web.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'metamask-web'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside 4 consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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Page Load Overview

25.68s
Total Load Time
52 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:329 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
cryptocurrency blockchain
61%
documentation technical
53%
government public service
51%
education learning
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.3United States
AS16509Amazon.com, Inc.
264.29.17.3United States
AS16509Amazon.com, Inc.
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
2142.251.127.95Google · CDNUnited States
AS15169Google LLC
104--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14DF05C0698E1441A623027806ED0F8684D99EB46C349AE5175F790ED1F98A93CDDF87C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7YOLBrAMMJANwXFDfAbpli7vkcgB0AqIbR2+MvfWHwlOCDHAV4LKTj+Gwu:hRoNFEy7lgfqsKWnV6qAEd1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:524160a0ca239f3f4e5a28c71ab7eacc

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:3c0c3c2c0c000000
Perceptual Hash:93936c6c9392ce93
Difference Hash:6959d95959264800
Wavelet Hash:ff0e7e7e6e180000
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data