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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

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/d9bc9d16-4d77-499e-bf45-6e160bdc3c99Domain and IP registration (RDAP)/api/v1/rdap/d9bc9d16-4d77-499e-bf45-6e160bdc3c99How 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 30 IPs in 2 countries across 21 domains to perform 509 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/unreal/examples/

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 docs served from a non-official vercel.app subdomain, with two single-source phishing reports against the host. No credential fields were found, but the brand mismatch plus threat-intel hits warrant avoidance.

Risk Factors (4)
Impersonation of the MetaMask brand (and Consensys) on a domain that is not metamask.io
Two single-source phishing threat-intelligence reports against the host and a URL on it
Arbitrary-user-content subdomain on a shared hosting platform with unknown creation date
Network IDS alerts flagging the hosting platform as commonly abused by threat actors
Domain age information unavailable

Details

Page Title

Examples - PnP Unreal SDK | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

You're looking at domain 'metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'metamask-docs-fbv47wj26-consensys-ddffed67'. Count 6 characters in 'vercel' with 2 vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded-wallets/sdk/unreal/examples/

Page Load Overview

13.67s
Total Load Time
4.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,804 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
61%
cryptocurrency blockchain
39%
corporate
35%
cryptocurrency
22%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
45216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
16151.101.129.229Fastly · CDNUnited States
AS54113Fastly, Inc.
1664.239.123.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
16142.251.14.97Google · CDNUnited States
AS15169Google LLC
16104.16.140.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
16146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
163.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
16104.16.160.168Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
16172.64.147.16Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
50930--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13BB373399160897E142A7BD3AE5AA3E8E407724AC535D7B4F27D4B39EF01F914123CA3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:VKnu/H5gnzKsY383eBjzpOUKRkBnerG9xVsGPjPG6wU723r27mkXhwEcgZRd1:h/H58z+seOUSa90Gr7wU7z7/xw0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:111613:ZsJGiZRiqkEAgASjz4YVkACp7AG9mYUDAEC0BIJehBFCMIEDCEQFBB8iOgUgGQjmYwGSEDoTGMicjYZrZUSDAjgJBpUJqiAA

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:ffff8080ffffffff
Perceptual Hash:f8388587757a7a84
Difference Hash:ccb01919a8aba01a
Wavelet Hash:240f0080d07ffffe
Color Hash:#35d22d

Other Hashes

Crop Resistant:ccb01919a8aba01a,0040986c2c184000,fff9e6c3c9ebf6ef

Scan History

Scan history not available

Unable to load historical scan data