Security Scan Report: metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 33 IPs in 2 countries across 22 domains to perform 200 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Appears to be a Vercel preview build of MetaMask developer docs: no forms collecting credentials, no malware or threat-intel hits. Hostname is unofficial and unverifiable, so prefer docs.metamask.io.

Risk Factors (2)
MetaMask/Consensys branding presented on a non-official vercel.app hostname that cannot be confirmed as operator-owned
Subdomain creation date unknown (platform apex age not attributable) and domain absent from Cisco Umbrella rankings
Safety Factors (2)
Content is purely technical documentation with outbound links to official GitHub repositories
Third-party scripts are top-ranked, common analytics/marketing services (HubSpot, Segment, LaunchDarkly, Google Analytics)
Domain age information unavailable

Details

Page Title

Home | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain 'metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'metamask-docs-75mpj2s96-consensys-ddffed67'. Count 6 characters in 'vercel' split between two vowels and 4 consonants. It segments into two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/

Page Load Overview

10.28s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,003 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
81%
cryptocurrency blockchain
80%
documentation technical
73%
finance banking
37%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
664.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6142.250.154.97Google · CDNUnited States
AS15169Google LLC
6146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
63.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6104.16.141.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.18.30.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6142.250.154.101Google · CDNUnited States
AS15169Google LLC
6104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20033--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106A30A7592A08D3D181F2BD6EE25B3F8B117628BC55562B4F37C0A34BF42ED294278D2

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:1/H58CIskOUSa90Gr7wUOueYe4er3qeNYeD28eZTNi:1P58CIsC7y+Ni

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:101686:BMggGCJwJFC5JTDQEUwMYAGhMwCCQgOBIKiCAEDlIU6GGJYgh5qCBw8AIUeCgAoCB6HgABOpLQmUQSQE5kigMklwvCUwGMAA

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:ff0000ffffffffff
Perceptual Hash:b642b4ca9d955437
Difference Hash:e9898e6435353436
Wavelet Hash:3c0000bf87d7d797
Color Hash:#2dd24e

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data