Security Scan Report: metamask-six.vercel.app

Redirected to:
https://metamask-six.vercel.app/
Submitted: Sep 6, 2026, 1:45:41 AMCompleted: Sep 6, 2026, 1:50:16 AMpubliccompleted

This website contacted 3 IPs in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is metamask-six.vercel.app and was registered 6 years ago.

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

Effective URL:

https://metamask-six.vercel.app/
Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The page shows no malicious content or phishing elements and is assessed as low risk.

Safety Factors
Absence of malicious forms or scripts
No external malicious domains referenced
Domain age information unavailable

Details

Page Title

Open MetaMask

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'metamask-six.vercel.app' is registered; it also runs on subdomain 'metamask-six'. The registrable portion 'vercel' spans 6 characters holding two vowels versus 4 consonants. Splitting it apart reveals 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metamask-six.vercel.app/

Page Load Overview

14.89s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:128 chars
Detector Agreement:50%

Website Classification

Primary Category

news media journalism57% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
57%
technology software
40%
healthcare medical
39%
documentation technical
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.131United States
AS16509Amazon.com, Inc.
1216.198.79.67United States
AS16509Amazon.com, Inc.
164.29.17.67United States
AS16509Amazon.com, Inc.
53--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106F0F9D9C8D42AB5A39162C22883A13DBB58DF07FB9D75026BD5A4FC0EC365A844F807

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRB5y70L5GgHtYxkFXv/JASKDoKDwrKD4Mf/6rKDwrKDwrKD4M/hVI:hRB5C0L5lXnJASaoaIa4M3eaIaIa4MJW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:653:IAAAAAAAAACAIAAAAAEgAAAAAAAEBAAAAgAAAAAAAACAgCQAAAAAIAAAAQASAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAACAAAA

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:e7e7e7e7e7e7ffff
Perceptual Hash:e666cc6664cc6666
Difference Hash:0c080c0808080000
Wavelet Hash:24242424e4e4fcfc
Color Hash:#c58787

Other Hashes

Crop Resistant:0c080c0808080000

Scan History

Scan history not available

Unable to load historical scan data