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

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Submitted: Completed: publiccompleted
This website contacted 49 IPs in 3 countries across 31 domains to perform 326 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/tutorials/integrate-sns/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Impersonates MetaMask developer documentation on a non-official Vercel subdomain; flagged as phishing by multiple threat feeds and IDS alerts. No credential forms detected, but brand impersonation and network alerts indicate high risk.

Risk Factors (6)
Brand impersonation of MetaMask on a non-official domain
Phishing threat-intel reports from multiple sources
IDS alerts for abused cloud hosting service
Suspicious subdomain on free hosting platform with random hash
Circular redirect
Multiple eval() calls in JavaScript (common but adds to suspicion)
Domain age information unavailable

Details

Page Title

Integrate SNS with Embedded Wallets | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Domain 'metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-keec0mi8n-consensys-ddffed67'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. Breaking it apart gives two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/tutorials/integrate-sns/

Page Load Overview

8.55s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:16,632 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
83%
cryptocurrency blockchain
81%
documentation technical
36%
corporate
35%
social media network
33%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
38216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6151.101.1.229Fastly · CDNUnited States
AS54113Fastly, Inc.
6192.178.183.97Google · CDNUnited States
AS15169Google LLC
664.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6142.251.156.4Google · CDNUnited States
AS15169Google LLC
6146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
63.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.16.141.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.17.175.201Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
32649--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1114459B2C2E2146740F34ACB95EA53286AF3416DE2414B50A3BCC3F96FCCC5A7593997

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:49sP+tPDTPD+PDwPDvPDAId+a+QPDtPDGPDpYHPD6mX2q6PDMUWPD3/:gsP+tPDTPD+PDwPDvPDAId+a+QPDtPDh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:266217:ehlwCAISEcQ/o4AF0EDJgFQeIshgcIDjEIKYyfmoRHqOCBSQMAxcQoN2IJAgBoBAWsRxIsEDG8Q4wBAEByIIZ2IhCaGhggKp

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:1087efff879fbfc7
Perceptual Hash:b3cc30ce31cd31cd
Difference Hash:a01d195b7e7e601c
Wavelet Hash:0085cdad839f9fc6
Color Hash:#693a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data