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

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Submitted: Completed: publiccompleted
This website contacted 36 IPs in 2 countries across 21 domains to perform 459 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Unauthorized lookalike of MetaMask developer docs on a Vercel subdomain, with phishing reports on the domain and three of its URLs; no credential form found, but brand impersonation plus threat intel makes it unsafe.

Risk Factors (5)
Brand impersonation of MetaMask on a non-official vercel.app subdomain
Content-malware phishing indicators of compromise on the primary domain and three page URLs
Deceptive hostname engineered to resemble an official MetaMask/Consensys documentation deployment
Unknown-age shared-hosting subdomain with no attributable reputation
Circular redirect in the capture chain
Domain age information unavailable

Details

Page Title

Use skills | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app' is registered; it also runs on subdomain 'metamask-docs-75mpj2s96-consensys-ddffed67'. Count 6 characters in 'vercel' holding 2 vowels versus 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.22s
Total Load Time
4.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,611 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
60%
documentation technical
46%
cryptocurrency blockchain
36%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
12216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
12104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1264.239.109.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
12142.251.20.97Google · CDNUnited States
AS15169Google LLC
12146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
123.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
12104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
12104.16.141.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
12142.250.154.138Google · CDNUnited States
AS15169Google LLC
45936--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149B3B7399150897E142A7BC3AE5AA3E8E117724AC635D3B4F37D4B39EF41F9141238A3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:tZz/H5gnCXlVZpMsY383eB3zpOUKRkBnerG9xVsGPjPG6wUrI23r27lAUiPD6Xja:z/H58CYscOUSa90Gr7wUEz7mPD6TVM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109457:IiKhOUIDMALMGQCI0AgAsEkeQEpLITes7IApgAgKUsIRg5ZALIgeW2dgBKsKABM4BQhQiHKcIQXEwDCEDkAEmLMkGfEBAGCi

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:7effdf8383ffc7e7
Perceptual Hash:bc0ac36e7d82c32d
Difference Hash:e8a3bebe26200e06
Wavelet Hash:001f070f83ffc7c6
Color Hash:#3a6778

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data