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

Redirected to:
https://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed6...
Submitted: Sep 8, 2026, 12:45:21 PMCompleted: Sep 8, 2026, 12:48:19 PMpubliccompleted

This website contacted 8 IPs in 1 country across 11 domains to perform 29 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/embedded-wallets/connect-blockchain/other/

Effective URL:

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

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

The page impersonates MetaMask brand on an unranked Vercel subdomain, has unverified phishing reports, but lacks credential forms or malware, resulting in a moderate risk rating.

Risk Factors
Brand impersonation without matching domain
Unranked / unknown‑age hosting subdomain
Multiple unverified phishing IoC matches
Domain age information unavailable

Details

Page Title

Connect Embedded Wallets with any Blockchain | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app' is registered and includes subdomain 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67'. Count 6 characters in 'vercel' containing two vowels alongside four consonants. Breaking it apart gives two words: ver, cel. Expect three characters per word on average. 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/embedded-wallets/connect-blockchain/other/

Page Load Overview

20.91s
Total Load Time
2.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,674 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
87%
cryptocurrency blockchain
73%
documentation technical
70%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
864.239.109.1United States
AS16509Amazon.com, Inc.
3216.198.79.131United States
AS16509Amazon.com, Inc.
3104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
318.245.31.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
364.239.123.193United States
AS16509Amazon.com, Inc.
364.29.17.3United States
AS16509Amazon.com, Inc.
318.245.31.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3216.198.79.3United States
AS16509Amazon.com, Inc.
298--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F051C173E321F82D66A747F4B941B098C266F20BDA5E6C51B2EC439967D4A34B1F3903

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hc4CX8/2/xSSDiXMD/+i44AspefegPe28udyjbuujly81XF6JMKJMGoD82GuP/gp:StMu/xqXAbHA1WgGR/XFWMdL6rN89W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3087:gAIEgCFKAAsEKEQAAIAKQAAABAQQQAACgAIAAASAQAQwACDAQACpIAAVEBCAggIBAAIAAECCEAAHCAAClAhWCFCIAGAABYAE

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:ffffdf5f0f3f2307
Perceptual Hash:81fcf803786cfc31
Difference Hash:b08d3ca6ded6d6de
Wavelet Hash:7effc7070f030303
Color Hash:#d2798e

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data