Security Scan Report: metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app

Redirected to:
https://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed6...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 11 domains to perform 19 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app/metamask-connect/multichain/

Effective URL:
https://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed6...
Redirected

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Page hosts high‑severity malware code (WebSocket C2) on an unranked Vercel subdomain, warranting a high‑risk classification.

Risk Factors (3)
Content‑malware YARA match (high severity)
Unranked / low‑reputation domain on shared hosting
Potential command‑and‑control activity via WebSocket
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 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters with 2 vowels and 4 consonants. It segments into 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app/metamask-connect/multichain/

Page Load Overview

5.41s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,307 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
80%
cryptocurrency blockchain
66%
documentation technical
65%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.239.109.65United States
AS16509Amazon.com, Inc.
218.245.31.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
264.29.17.67United States
AS16509Amazon.com, Inc.
218.245.31.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
264.239.109.1United States
AS16509Amazon.com, Inc.
2216.198.79.67United States
AS16509Amazon.com, Inc.
218.245.31.100Cloudfront · 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

T1468112B3E600AD38661797B8B521B4448372F31BDD595809B1FC03A4E7D9B61E1B3E93

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:SsHSoq6yCmATWgGiHQZge6W6Hz6KrNg6FKncT/G9W:Jyi+gWVwXPH+KbdqW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4081:EMKAABAABEEEYAEKAARAEAEICBkIQAYBJSIAATIARCUgAQABiQCAwQAAEJCGAQAAAEJACkxAQCKEIQeiEAACiIACFIRIgEAq

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:7fffcf5f3f0f0f3f
Perceptual Hash:81fcfc036c7c780b
Difference Hash:b0b91fb6deded6f6
Wavelet Hash:00ffcf030f0f033f
Color Hash:#c58787

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data