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

Redirected to:
https://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 35 IPs in 2 countries across 21 domains to perform 669 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded-wallets/sdk/react-native

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

AI Security Verdict

High Risk

Confidence: 74%

8
Risk Score

MetaMask-branded developer documentation hosted on an unranked vercel.app subdomain that carries six single-source phishing reports plus abused-hosting IDS alerts. No credential or payment forms found, but brand impersonation on a non-official domain warrants avoidance.

Risk Factors (5)
Six phishing threat-intelligence matches against the primary domain and its URL paths (all single-source, unverified)
MetaMask brand documentation served from a non-official, unranked vercel.app subdomain
Shared-hosting tenant with unknown creation date and no domain reputation
IDS alerts flagging actor-abused cloud hosting service usage
Circular redirect signal
Domain age information unavailable

Details

Page Title

Embedded Wallets SDK for React Native | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Domain 'metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'metamask-docs-fbv47wj26-consensys-ddffed67'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

eta a eta Products Embedded Wallets Web Mobile & Gaming React Native v9 Backend Get started Advanced Overview Custom Authentication Smart accounts Whitelabel Multi-factor authentication Dapp sha...

Page Load Overview

12.23s
Total Load Time
3.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:14,766 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
60%
cryptocurrency blockchain
47%
corporate
35%
education learning
32%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1964.239.123.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19142.251.14.97Google · CDNUnited States
AS15169Google LLC
19146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
193.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
19104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19104.16.139.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19104.18.40.240Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
66935--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191540F72C2E1147700F35EC795EA5368A6E3529DD2118B60A3BCC3F96F8CC5A7893897

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:JxsVePDIPD/PDNPDvPD1PDdPDsPDmPDcPDqPDJPDJPDMLPDpPD8PDuPDlPDuC1Pi:DsVePDIPD/PDNPDvPD1PDdPDsPDmPDcE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:287641:tYwDtQ/Q1ggyJgRMgwgYK9A6ABBnATUUwAChYYCEioYPJnAIEDrCYAQQUEIQhELAHljAJWQQTCMCAyYYoI0QZEgAEAYRAFei

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:240f078383dfdfde
Perceptual Hash:b823d7ca75685703
Difference Hash:cca9ad37b7b1b13c
Wavelet Hash:000703831fdf9fde
Color Hash:N/A

Other Hashes

Crop Resistant:cca9ad37b7b1b13c

Scan History

Scan history not available

Unable to load historical scan data