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Security Scan Report: metamask-docs-45ta0ykbu-consensys-ddffed67.vercel.app

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Submitted: Jul 28, 2026, 2:45:12 PMCompleted: Jul 28, 2026, 2:46:31 PMpubliccompleted

Summary

This website contacted 4 IPs in 1 country across 12 domains to perform 2 HTTP transactions. The main domain is metamask-docs-45ta0ykbu-consensys-ddffed67.vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-45ta0ykbu-consensys-ddffed67.vercel.app/embedded-wallets/authentication/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

The site hosts high‑severity malicious JavaScript (WebSocket C2) and triggers Safe Browsing alerts, warranting a high‑risk classification.

Risk Factors
High‑severity YARA malware pattern indicating command‑and‑control activity
Critical JavaScript obfuscation and suspicious encoding techniques
Google Safe Browsing social‑engineering warning
Unranked, unknown‑age subdomain on a public hosting service
Domain age information unavailable

Details

Page Title

Authentication | MetaMask developer documentation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(92%)

Domain Information

The domain 'metamask-docs-45ta0ykbu-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'metamask-docs-45ta0ykbu-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters with two vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of cdn.jsdelivr.net

Page Load Overview

10.95s
Total Load Time
37
HTTP Requests
12
Domains
3.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:4,686 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
92%
documentation technical
82%
social media network
49%
finance banking
36%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1018.245.31.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
9104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
964.29.17.3United States
AS16509Amazon.com, Inc.
964.239.109.129United States
AS16509Amazon.com, Inc.
374--

Page Statistics

37
Requests
4
Unique Domains
4.9 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T177D31832E2D0313F994743AED7919B54B27AD4DACA8E22E2B35C825007C3BD9796743D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Yyhv9iNntPosgumqm489R+ri9lOogTsc/HjpqsginCRa9EGrqO+a/X25w:YdNntPosgumqmITscPjpqs3B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:133949:NEScdBYtIkrNB1EKECwsllL8JADAlHThAnQDTBAQAgFCWGAYAkgEIAA0zO42vmEDBU2FICZkOSmIGEGIGkSUjAmiDCTYWO6h

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:7f1f8383838f9f87
Perceptual Hash:bcc2c28365cf287e
Difference Hash:c8a937363ebe2e3e
Wavelet Hash:7e1f8383830f8787
Color Hash:#9740bf

Other Hashes

Crop Resistant:c8a937363ebe2e3e

Scan History

Scan history not available

Unable to load historical scan data