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Security Scan Report: metamask-docs-keec0mi8n-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/505645fd-372a-4ff2-896d-a8aa5af6d653Domain and IP registration (RDAP)/api/v1/rdap/505645fd-372a-4ff2-896d-a8aa5af6d653How often this domain was scanned/api/v1/domain/stats/metamask-docs-keec0mi8n-consensys-ddffed67.vercel.appScan history for this domain/api/v1/domain/history/metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app?limit=15
This website contacted 33 IPs in 4 countries across 22 domains to perform 612 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/embedded-wallets/connect-blockchain/solana/

AI Security Verdict

High Risk

Confidence: 74%

8
Risk Score

MetaMask/Consensys-branded docs on an unofficial vercel.app subdomain with three single-source phishing reports and abused-host IDS alerts; no credential form on this page, but the brand mismatch and threat-intel hits warrant avoidance.

Risk Factors (5)
Three single-source phishing threat-intel matches against the primary domain and its URLs (unverified, so weighted cautiously)
Use of a third-party hosting subdomain to serve MetaMask-branded documentation
Possible crypto-wallet-targeting impersonation campaign shape (fake wallet SDK/docs funnel)
IDS alerts for commonly actor-abused cloud hosting domain
Circular redirect
Domain age information unavailable

Details

Page Title

Integrate Embedded Wallets with the Solana Blockchain | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain name 'metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-keec0mi8n-consensys-ddffed67'. The second-level label 'vercel' is 6 characters long with two vowels and 4 consonants. Word splitting yields two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/embedded-wallets/connect-blockchain/solana/

Page Load Overview

22.04s
Total Load Time
7.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,183 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
72%
technology software
65%
documentation technical
51%
finance banking
47%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3664.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1864.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1864.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18192.178.183.97Google · CDNUnited States
AS15169Google LLC
1845.43.142.4United Kingdom
AS16276OVH SAS
18146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
183.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
18104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
18104.16.140.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
61233--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103B3103D9150887E68266A97AE5AA3E8E007724ED130D678F37D4B39EF01F944527CB3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Nn99OJ/H5gnaxsY383eB5izYqqKRkBnerG9xVsGPjPqkUx23r27Tus7eCadzWANU:H9A/H58a1saqqSa90GrikUxz7EsxLwy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:113711:GQohiHOBOAkMFA0hgAAhAKllaSsxTBcMkCETcI60BDKBgAQFCiQLJAGmLAlIZSoORcBwrqEawTIUUlCnBHBSGCg6QxAAAghy

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:000783838fffffde
Perceptual Hash:bc2251c37d615d1e
Difference Hash:a0ad2e0e3e361634
Wavelet Hash:000583839fefaf9e
Color Hash:#6c81e0

Other Hashes

Crop Resistant:a0ad2e0e3e361634

Scan History

Scan history not available

Unable to load historical scan data