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Security Scan Report: metamask-docs-fbv47wj26-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/07d8ef1a-e36f-4a10-9a77-c943518bd599Domain and IP registration (RDAP)/api/v1/rdap/07d8ef1a-e36f-4a10-9a77-c943518bd599How often this domain was scanned/api/v1/domain/stats/metamask-docs-fbv47wj26-consensys-ddffed67.vercel.appScan history for this domain/api/v1/domain/history/metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app?limit=15
This website contacted 33 IPs in 2 countries across 21 domains to perform 692 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded-wallets

AI Security Verdict

High Risk

Confidence: 74%

8
Risk Score

MetaMask-branded developer docs served from an unofficial randomized .vercel.app subdomain with phishing listings on the domain and a URL path, plus abused-hosting IDS alerts. No credential form found, but brand impersonation signals warrant avoidance.

Risk Factors (5)
MetaMask brand documentation hosted on a non-official, randomized .vercel.app preview subdomain — classic lookalike-docs hosting pattern
Single-source phishing listings on both the primary domain and a specific URL path
IDS alerts flagging the hosting service as an actor-abused cloud platform
Circular redirect in the redirect chain
Unknown subdomain age on a free-to-publish hosting namespace
Domain age information unavailable

Details

Page Title

What are Embedded Wallets? | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The 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 core label 'vercel' covers 6 characters split between 2 vowels and four consonants. Word splitting yields 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded-wallets

Page Load Overview

3.18s
Total Load Time
6.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,767 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
65%
documentation technical
56%
cryptocurrency blockchain
39%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
20151.101.129.229Fastly · CDNUnited States
AS54113Fastly, Inc.
20142.250.154.97Google · CDNUnited States
AS15169Google LLC
2064.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
20146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
203.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
20104.16.141.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20104.18.30.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20104.17.128.172Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
69233--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12CD3313C9150897E14267B93AA5AA3E8E007724EC535D7B8F27E4B39AF01F514527CB3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:q07/H5gnz99sY383eBvzpOUKRkBnerG9xVsGPjPG6wUub23r27nXjEcgZRdQ:f/H58zjsEOUSa90Gr7wUUz7nzd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:130544:BkUIDiZhIUHcIUCQCreAmNDPahkICz0kCoEwKAEISGchiCyUmWkAkUh+joMAoCgQLUCAaEYA8iQaYgxEKEKCuAIAQBVuAfSA

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:244f8347474fcfde
Perceptual Hash:b00a5f23576a4f2e
Difference Hash:cc9a379d96969e2c
Wavelet Hash:000f83474747dfde
Color Hash:#b7bf40

Other Hashes

Crop Resistant:cc9a379d96969e2c

Scan History

Scan history not available

Unable to load historical scan data