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 9 IPs in 1 country across 11 domains to perform 18 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/reference/methods/

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

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Page hosts high‑severity malicious JavaScript (WebSocket C2) and is unranked, warranting a high‑risk classification.

Risk Factors (3)
High‑severity malicious JavaScript (WebSocket command & control)
Unranked / unknown‑age subdomain on shared hosting platform
Potential command‑and‑control communication
Domain age information unavailable

Details

Page Title

MetaMask Connect Multichain methods | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain name 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside 4 consonants. Word splitting yields two words: ver, cel. Median word length is 3 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/reference/methods/

Page Load Overview

7.37s
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:11,241 chars
Detector Agreement:80%

Website Classification

Primary Category

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

All Detected Categories

technology software
80%
documentation technical
64%
cryptocurrency blockchain
63%
cryptocurrency
38%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67United States
AS16509Amazon.com, Inc.
264.239.109.193United States
AS16509Amazon.com, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
218.245.31.112Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
264.29.17.131United States
AS16509Amazon.com, Inc.
218.245.31.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
264.239.109.65United States
AS16509Amazon.com, Inc.
218.245.31.100Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2216.198.79.131United States
AS16509Amazon.com, Inc.
189--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19381F663D611A839632B93A87552700C8372E31BEE5E5C05B5FC07B467E8BB1E0B3A53

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:SsHSx6YmATWgGiZTTWTTmIe6166z6drNdTTl617K1Q9W:JyEFgWVIqXXA6+d3E1HW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4048:EQAAQiCQoBSwGCWAIgYKAkCAAAAYAAQAgEiIGplABIBgIQQBAiAAIIiwACCAABABgMoAIREgACJAhIIQoFArYBAKAFkAAASg

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:7fffcf1f3f3f3f3f
Perceptual Hash:83f8f4077c5c7823
Difference Hash:b0a91db1d6d6fcde
Wavelet Hash:007f871f03033f3f
Color Hash:#3a6a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data