Security Scan Report: metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app

Redirected to:
https://metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app/metamask...
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Submitted: Sep 7, 2026, 1:45:07 PMCompleted: Sep 7, 2026, 1:46:34 PMpubliccompleted

This website contacted 8 IPs in 1 country across 11 domains to perform 19 HTTP transactions. The main domain is metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app and was registered 6 years ago.

Submitted URL: http://metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app/metamask-connect/evm/

Effective URL:

https://metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app/metamask...
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Page hosts high‑severity malicious JavaScript (C2 backdoor) and has unverified phishing IoCs; treat as high‑risk malware distribution.

Risk Factors
Malicious JavaScript pattern (WebSocket C2)
Unverified phishing IoC on the same domain
Unranked / unknown‑age hosting subdomain
Domain age information unavailable

Details

Page Title

MetaMask Connect EVM - Ethereum Dapp Integration | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain name 'metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-p13jojaa8-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app/metamask-connect/evm/

Page Load Overview

16.28s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,411 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software85% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
85%
cryptocurrency blockchain
73%
documentation technical
72%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
518.245.31.100Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
264.29.17.195United States
AS16509Amazon.com, Inc.
264.239.123.65United States
AS16509Amazon.com, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
218.245.31.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.245.31.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2216.198.79.195United States
AS16509Amazon.com, Inc.
218.245.31.112Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
198--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186812273E210A82877174BE5B645B408C372F30FDA9D5805B1EC53B85EE9770A2B7A83

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:SsLSsYmATWgGifySyYse1SfzSyrNdyoU5R9W:J+EgWV0ySy5nf+yXypW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4043:ACAAAMACAD5NOAgKmAAAIAAKAAUIEEIIQAJQDCACJEAWAASQAASEAJAECADQCBAAUAIAABIAGSBAQACABQB2mHAVFAAAAEIA

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:ffffdf5f07033f3f
Perceptual Hash:81f8de0374797c0b
Difference Hash:a0b13f96d6d6f6ee
Wavelet Hash:00ffcf0703031f3f
Color Hash:#bf2dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data