Security Scan Report: metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app

Redirected to:
https://metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app/embedded...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 31 IPs in 2 countries across 23 domains to perform 681 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app/embedded-wallets/sdk/react/advanced/mfa/

Effective URL:
https://metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app/embedded...
Redirected

AI Security Verdict

High Risk

Confidence: 58%

7
Risk Score

This page asks for a crypto wallet recovery phrase, which no legitimate service ever does — rated high risk on that basis.

Risk Factors (1)
Major cryptocurrency brand (MetaMask) documentation hosted on a non-official, unranked *.vercel.app subdomain rather than the vendor's own domain, which is a pattern abusers also use for look-alike pages
Domain age information unavailable

Details

Page Title

Multi-factor authentication | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Domain 'metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'metamask-docs-4q672pqsp-consensys-ddffed67'. Count 6 characters in 'vercel' with 2 vowels and 4 consonants. It segments into 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metamask-docs-4q672pqsp-consensys-ddffed67.vercel.app/embedded-wallets/sdk/react/advanced/mfa/

Page Load Overview

28.35s
Total Load Time
5.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,318 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
55%
cryptocurrency blockchain
55%
documentation technical
39%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
51216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
21104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2164.239.109.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
21142.251.110.97Google · CDNUnited States
AS15169Google LLC
21146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
213.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
21104.18.30.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21104.16.141.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21104.16.160.168Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
68131--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135F36275C1E1447F10B3AAC7999A63A8E5A7228DC2208730F3BD87BDAF44E517553CA3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RP58visridPDz6oT5fpAPDf35+73YhzaySPD1PDqgSu2c/JhLq64aPDcAK+22B0h:Njs+dPDz6oT5fpAPDfJ+7IhzaySPD1PK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:166569:gZJUYhBRIAAAUIBgNrIQEJDiDSZIEZCAdAulEpQQkIFA4IYmEpMABhUh1gE2AGsIuGahoWBjhAAk63wgokAgQKAIgW5kN1og

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:ffffff8787878787
Perceptual Hash:b6c9c936326ecd09
Difference Hash:a8b9972d2d2d2d2c
Wavelet Hash:184fc78787878787
Color Hash:#821f93

Scan History

Scan history not available

Unable to load historical scan data