Security Scan Report: metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 32 IPs in 2 countries across 21 domains to perform 628 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/embedded-wallets/sdk/flutter/advanced/dapp-share/

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

MetaMask-branded developer docs on an unofficial, unranked vercel.app subdomain with three single-source phishing reports on its own domain/URLs. No credential or payment forms, but the phishing indicators plus brand/domain mismatch warrant caution.

Risk Factors (5)
Primary domain and two of its URLs reported as phishing (3 single-source indicators; phishing is content-malware type)
MetaMask-branded documentation served from a non-official vercel.app subdomain rather than metamask.com
Unranked domain with unknown creation date on an instant-publish hosting platform
Network IDS alerts for actor-abused cloud hosting service (vercel.app)
Circular redirect observed in the capture chain (redirect chain ends on a URL seen earlier)
Domain age information unavailable

Details

Page Title

Dapp share | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain 'metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'metamask-docs-keec0mi8n-consensys-ddffed67'. Count 6 characters in 'vercel' split between 2 vowels and 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

eta a eta Products Embedded Wallets Web Mobile & Gaming Flutter - v612 Backend Get started Advanced Overview Custom authentication Whitelabel Multi-factor authentication Dapp share Usage Example...

Page Load Overview

18.71s
Total Load Time
3.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,665 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
52%
cryptocurrency blockchain
50%
documentation technical
36%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3964.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1964.239.123.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19142.250.154.97Google · CDNUnited States
AS15169Google LLC
19146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
193.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
19104.18.30.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19104.16.139.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19104.18.40.240Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
62832--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T187E392398190447F14726AC7D99E63E8E197228ED230CB70F3BD8B79AF41E556463CA3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Y/H58aysxqqSa90GrikUNz7i5MUBPDk0PDeZbGPDzLV/:YP58ays5is5MUBPDk0PDUbGPDvV/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:144217:9gAMAEPCCAAE2gNmBFRBAQhIUMDZwSgDxKULSahCURCdi+hARYIKKUCoIEAYcKt5lAeAApGmlaogGICGhRUCSPoXzQipgAYR

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:007f07c3cfcfc383
Perceptual Hash:bc0257c3752a392f
Difference Hash:8cb9bf3eb6be1e36
Wavelet Hash:001f07c3cfdfc383
Color Hash:N/A

Other Hashes

Crop Resistant:8cb9bf3eb6be1e36

Scan History

Scan history not available

Unable to load historical scan data