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

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Submitted: Completed: publiccompleted
This website contacted 34 IPs in 2 countries across 21 domains to perform 576 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Cloned MetaMask developer-docs page on a deceptive, unranked vercel.app subdomain with four phishing threat-intel matches; do not install its CLI or connect wallets.

Risk Factors (5)
Brand impersonation of MetaMask/Consensys on a non-official vercel.app subdomain with a deceptive hostname
Multiple phishing threat-intelligence matches (1 primary domain, 3 URL indicators)
Unranked domain claiming to represent a major cryptocurrency brand
Instructs users to install a CLI tool, creating a malware-distribution risk
Circular redirect anomaly and IDS abused-cloud-hosting alerts
Domain age information unavailable

Details

Page Title

MetaMask Agent Wallet | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Domain 'metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'metamask-docs-75mpj2s96-consensys-ddffed67'. The core label 'vercel' covers 6 characters holding 2 vowels versus four consonants. It segments into 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 https://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/agent-wallet/

Page Load Overview

9.59s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,900 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
71%
cryptocurrency blockchain
56%
corporate
35%
finance banking
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
48216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
16104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1664.239.123.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
16142.251.20.97Google · CDNUnited States
AS15169Google LLC
16104.16.141.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
16146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
163.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
16104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
16104.18.40.240Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
57634--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195C3B5399190497F1426BBD7A95AA3E8E10B728EC531D2B4F37D4A39EF41F918113CA3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:h/H58COsUOUSa90Gr7wU6z7HbFeRece+e2eXTVM:hP58COsy7abJVM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:128267:SdoJT4hAApkASYCC3gDwGIFBZwA0pQMEBUoUgDBLACRg4UwMQEZiRgAwi1IHkCliCEFlUoCEdpKkExoRARUgBZAQBYkAaAJa

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:2c8f830fdfc7c7c6
Perceptual Hash:b40957c257266767
Difference Hash:e8b13fb6b8acac2e
Wavelet Hash:040b831fdfc7c786
Color Hash:#931f3c

Other Hashes

Crop Resistant:e8b13fb6b8acac2e

Scan History

Scan history not available

Unable to load historical scan data