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Security Scan Report: metamask-docs-75mpj2s96-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/5f7f23b0-bbbf-4356-a960-a9015b3a1065Domain and IP registration (RDAP)/api/v1/rdap/5f7f23b0-bbbf-4356-a960-a9015b3a1065How often this domain was scanned/api/v1/domain/stats/metamask-docs-75mpj2s96-consensys-ddffed67.vercel.appScan history for this domain/api/v1/domain/history/metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app?limit=15
This website contacted 32 IPs in 2 countries across 21 domains to perform 684 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/authentication/

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Unofficial vercel.app copy of MetaMask developer docs with four single-source phishing reports on the domain/URLs and brand impersonation of MetaMask; no credential or payment form was present in the capture, so risk is high rather than confirmed.

Risk Factors (4)
Impersonation of the MetaMask/ConsenSys developer-documentation brand on a non-official vercel.app subdomain
Four phishing threat-intelligence matches on the primary domain and specific URLs (OpenPhish, PhishDestroy)
Host on a free, instantly-created shared hosting namespace commonly abused for phishing lures; actual page age unknown and unranked in Cisco Umbrella
Circular redirect observed in the redirect chain
Domain age information unavailable

Details

Page Title

Authentication | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain 'metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'metamask-docs-75mpj2s96-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters with two vowels and 4 consonants. Word splitting yields 2 words: ver, cel. Median word length comes out to three 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/authentication/

Page Load Overview

19.01s
Total Load Time
5.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,763 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
69%
cryptocurrency blockchain
61%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
21151.101.65.229Fastly · CDNUnited States
AS54113Fastly, Inc.
2164.239.109.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
21142.251.20.97Google · CDNUnited States
AS15169Google LLC
21146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
213.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
21104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21104.16.138.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21104.17.128.172Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
68432--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T102C3613D9150887E18267B97AA5AA3E8E00B724EC531D678F27D4B39EF01F614527CB3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:taGf/H5gnCnsY383eBSzpOUKRkBnerG9xVsGPjPG6wUx23r27kVnOkznzPleu3f0:n/H58CPsxOUSa90Gr7wUxz7l/l2rTwR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:128939:FAUko0QIjXC1JJiAUBIIhgLQpAACQUyQQQCCFkApkQogQIYAgEJYJqwQ6AuM8FDCByih0UKRwwmCQEIBVJpjYknxBaEkGA0V

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:241f838383df8fc6
Perceptual Hash:bc02c783752a577a
Difference Hash:cca93f2e1eb62e3e
Wavelet Hash:201f8383879fcfc6
Color Hash:#35d22d

Other Hashes

Crop Resistant:cca93f2e1eb62e3e

Scan History

Scan history not available

Unable to load historical scan data