Security Scan Report: metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app

Redirected to:
https://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/smart-ac...
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Submitted: Completed: publiccompleted
This website contacted 34 IPs in 2 countries across 21 domains to perform 767 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/smart-accounts-kit

Effective URL:
https://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/smart-ac...
Redirected

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Unofficial vercel.app clone of MetaMask developer docs flagged as phishing by two unverified feeds, with a circular redirect and hosting-abuse IDS alerts; no credential form found, so avoid installing anything from it.

Risk Factors (5)
Crypto wallet brand name (MetaMask) served from an unranked, unofficial vercel.app subdomain
Primary-domain and URL-level phishing threat-intel reports (single-source, unverified)
Circular redirect in the navigation chain
IDS alerts for actor-abused cloud hosting namespace
Brand-styled documentation site on infrastructure anyone can publish to, with installation instructions
Domain age information unavailable

Details

Page Title

MetaMask Smart Accounts Kit introduction | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain 'metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'metamask-docs-fbv47wj26-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/smart-accounts-kit

Page Load Overview

16.16s
Total Load Time
3.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,396 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
73%
documentation technical
71%
cryptocurrency blockchain
59%
corporate
35%
education learning
27%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
41216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22151.101.1.229Fastly · CDNUnited States
AS54113Fastly, Inc.
2264.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22142.251.14.97Google · CDNUnited States
AS15169Google LLC
22146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
223.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
22104.16.140.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
22104.18.30.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
22104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
76734--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19ED3423C9150897F18267B93A94AA3E8E04B728EC635D674F27D4B3DAF41F614126CB3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:c/H58zMsjOUSa90Gr7wU1wDz7leye/eiQjeCZjeWe2eteLerxVd:cP58zMs17xVd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:142876:CcAsKc0OXJhA6KHAgrbAgCkHglFEQoaAQnnyCZWQDILAQbFAAIgCFgAYMoiRMIAAFw3gCGgTIJOBS1CQMbojA1BCgQVNgQET

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:2c0f8f8f83878f8e
Perceptual Hash:bc43516655a35766
Difference Hash:c8b93e1e2e2e1e3e
Wavelet Hash:240f9f8383b7878e
Color Hash:#1f5393

Other Hashes

Crop Resistant:c8b93e1e2e2e1e3e

Scan History

Scan history not available

Unable to load historical scan data