Security Scan Report: metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app

Redirected to:
https://metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app/embedded...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 37 IPs in 2 countries across 22 domains to perform 680 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app/embedded-wallets/sdk/js/events/

Effective URL:
https://metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app/embedded...
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate MetaMask developer documentation on a Vercel preview deployment. No credential harvesting, malware, or impersonation signals detected.

Safety Factors (4)
Official-looking MetaMask developer documentation content
No credential or payment forms
No Indicators of Compromise, YARA, Safe Browsing, or phishing/malware IDS hits
Cross-origin requests limited to analytics, HubSpot, and Vercel Live, consistent with a legitimate documentation site
Domain age information unavailable

Details

Page Title

Embedded Wallets events and status | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain 'metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-4q672pqsp-consensys-ddffed67'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 4 consonants. Word splitting yields 2 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-4q672pqsp-consensys-ddffed67.vercel.app/embedded-wallets/sdk/js/events/

Page Load Overview

14.89s
Total Load Time
6.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,172 chars
Detector Agreement:80%

Website Classification

Primary Category

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

All Detected Categories

technology software
85%
documentation technical
85%
cryptocurrency blockchain
84%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1864.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
18142.251.14.97Google · CDNUnited States
AS15169Google LLC
1864.239.123.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18104.16.138.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
18146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
183.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
18104.17.175.201Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
18172.64.147.16Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
68037--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DF145175C1E1147B10B39AC795DA63B8E593229DD2248B30F3BC87BDAF88D5274538A3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:6asC2PD8PDyPDyPD2JPDrZQq5fRLyPD9PDEXPDxI02NpJDRZJePDUPDSPDhwPDnN:5sC2PD8PDyPDyPD2JPDrZQq5fRLyPD9B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:201580:ABTdQAYAtFABgwDB2ZiZ8/CqXYUAUBaiEgh5giMACGEcLVICqA/EIGgEAwFIwE7AADKmBEIJ2AgK6AEEIGjDAgaBgTOxC8eh

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:ffffffff8383ff83
Perceptual Hash:bcc2c32d7dc27c28
Difference Hash:a0b9b9372626b626
Wavelet Hash:000f9dff8303ff82
Color Hash:#7f53ac

Scan History

Scan history not available

Unable to load historical scan data