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

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Submitted: Completed: publiccompleted
This website contacted 33 IPs in 2 countries across 21 domains to perform 576 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/sdk/android

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Brand-impersonating MetaMask/Consensys documentation clone on a vercel.app subdomain with multiple phishing threat-intel reports; avoid connecting wallets or interacting.

Risk Factors (5)
Deceptive hostname impersonating MetaMask/Consensys brand on a shared hosting platform
Multiple phishing threat-intel reports (single-source, unverified)
Unranked domain with no attributable reputation
Circular redirect detected
Abused cloud-hosting infrastructure flagged by IDS
Domain age information unavailable

Details

Page Title

Embedded Wallets SDK for Android | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Domain 'metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'metamask-docs-75mpj2s96-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. The median word length lands at 3 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/sdk/android

Page Load Overview

7.00s
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:11,823 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
73%
documentation technical
62%
cryptocurrency blockchain
42%
corporate
35%
cryptocurrency
22%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17142.251.14.97Google · CDNUnited States
AS15169Google LLC
1764.239.109.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
173.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
17104.18.30.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17104.16.137.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1744.236.186.200Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
57633--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF244072C2E1187B00F35BC795EA5368A6A3529DD2118B60F3BCC3B96F88D5674838D7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:a4sWuIPDFvPDLPD4PD2PD84PDCYyPDbkFPDiWPDXrKRb5PDMwWPD0waz7PDkfnCd:jsWuIPDFvPDLPD4PD2PD84PDCYyPDbks

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:213774:YBBRlCGAMENRAoGRgBuIAWgUIKBtMIJoQFAtkAAcIhJCi4YQEA4AAYI0uhJEIAxIwVhyAUCYmEEgsCxRAyLGwgEQawMiEEPA

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:000f019d9c9f839e
Perceptual Hash:98037542d766672f
Difference Hash:ccb9bf25b1b7b638
Wavelet Hash:000f03bd5c9fc79e
Color Hash:#2dd24e

Other Hashes

Crop Resistant:ccb9bf25b1b7b638

Scan History

Scan history not available

Unable to load historical scan data