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

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/ecd01a22-c5f6-41e9-8e51-31c93aeafce0Domain and IP registration (RDAP)/api/v1/rdap/ecd01a22-c5f6-41e9-8e51-31c93aeafce0How often this domain was scanned/api/v1/domain/stats/metamask-docs-75mpj2s96-consensys-ddffed67.vercel.appScan history for this domain/api/v1/domain/history/metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app?limit=15
This website contacted 36 IPs in 2 countries across 21 domains to perform 714 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/embedded-wallets/features/mpc/

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Unofficial look-alike of MetaMask developer documentation on a randomized vercel.app subdomain, with four phishing threat-intel reports and IDS abuse alerts; brand impersonation, avoid.

Risk Factors (5)
Impersonation of a different entity's brand (MetaMask/Consensys) on a non-brand domain
Four single-source phishing threat-intel matches across two feeds against this host and its URLs
Randomized hash-style subdomain typical of throwaway phishing deployments on shared hosting
IDS alerts flagging the hosting namespace as commonly abused by actors
Circular redirect in the navigation chain
Domain age information unavailable

Details

Page Title

Multi-Party Computation | 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 and includes subdomain 'metamask-docs-75mpj2s96-consensys-ddffed67'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus four consonants. Tokenizing the label suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/embedded-wallets/features/mpc/

Page Load Overview

13.82s
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:4,466 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
64%
documentation technical
58%
corporate
35%
cryptocurrency blockchain
33%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
49216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19151.101.1.229Fastly · CDNUnited States
AS54113Fastly, Inc.
1964.239.109.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19142.251.20.97Google · 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.
19104.16.137.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19104.17.128.172Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
71436--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9C3313C9150897E14267B97AA5AA3E8E41B728EC531D678F27D4B39EF01F614123CB3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:FKh7/H5gnCsasY383eBLzpOUKRkBnerG9xVsGPjPG6wUCI23r27Pw8uQXjVEngZU:w/H58CTsIOUSa90Gr7wU1z7P3pTVM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:128525:ifCIAC0mMgSCiMvEESJBgKzB3CAYQCBEFUrAAjYC4YazAikGFmjgDhKQIxaiRk+kCDMdAoAiVBNhFQUb/CQEBBGXqAPEggA5

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:24df8707870f0fce
Perceptual Hash:b0425f065722777e
Difference Hash:ccb0bdaeaebcbc38
Wavelet Hash:000f8747077f8fce
Color Hash:#61d22d

Other Hashes

Crop Resistant:ccb0bdaeaebcbc38

Scan History

Scan history not available

Unable to load historical scan data