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

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https://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed6...
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Submitted: Sep 7, 2026, 1:45:10 PMCompleted: Sep 7, 2026, 1:46:39 PMpubliccompleted

This website contacted 7 IPs in 1 country across 11 domains to perform 33 HTTP transactions. The main domain is metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app and was registered 6 years ago.

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

Effective URL:

https://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed6...
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AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Page hosts high‑severity malicious JavaScript (C2 backdoor) on an unranked Vercel subdomain; treat as high‑risk malware distribution.

Risk Factors
Unranked / low‑reputation domain
Single‑source phishing indicator (unverified)
Hosted on a shared‑hosting subdomain (vercel.app) with unknown age
Domain age information unavailable

Details

Page Title

Tutorials | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

You're looking at domain 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Breaking it apart gives 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/tutorials/

Page Load Overview

19.26s
Total Load Time
5.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,501 chars
Detector Agreement:80%

Website Classification

Primary Category

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

All Detected Categories

technology software
85%
cryptocurrency blockchain
66%
documentation technical
51%
corporate
35%
cryptocurrency
22%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9216.198.79.195United States
AS16509Amazon.com, Inc.
464.239.123.1United States
AS16509Amazon.com, Inc.
4151.101.65.229Fastly · CDNUnited States
AS54113Fastly, Inc.
418.245.31.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
464.29.17.195United States
AS16509Amazon.com, Inc.
418.245.31.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
337--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172517F73E610E83D525B8AE4BB05F049C392F71BC96D6C05B1EC13E96AD5A3061F7A13

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hc+PGgSSDADizHjlKHS2MuqDu/8zEDb6A30GpKHeWFJKHegefegPeeslpK1pKm2X:S+Og1n2D/cEDbxWXhWgGe8PVrN89W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3066:AQAAQAAQCAAAAgAIEEABAQCAIMIECFMCAABAEAAYAEAgIRAAAAoAKEAABEJAqQBEAJQAhAAgBIIAAAAgAJAIAAQAAACACgAB

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data