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
This website contacted 32 IPs in 2 countries across 21 domains to perform 702 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/connect-blockchain/other/

Effective URL:
https://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded...
Redirected

AI Security Verdict

High Risk

Confidence: 65%

7
Risk Score

MetaMask-branded developer docs on an unranked .vercel.app preview subdomain with two unverified phishing reports and abused-hosting IDS alerts, but no credential or payment forms and no malware detected.

Risk Factors (4)
Phishing indicators of compromise (2, single-source/unverified) tied to the primary domain and a URL path
Uses the MetaMask brand on a domain that is not MetaMask's official domain, with a look-alike Vercel preview hostname
Unranked, unknown-age subdomain on an instantly-publishable shared hosting platform
IDS alerts flagging vercel.app as a commonly actor-abused cloud hosting domain
Domain age information unavailable

Details

Page Title

Connect Embedded Wallets with any Blockchain | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain name 'metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'metamask-docs-fbv47wj26-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters holding two vowels versus 4 consonants. It segments into two words: ver, cel. Median word length comes out to 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/connect-blockchain/other/

Page Load Overview

7.15s
Total Load Time
6.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,661 chars
Detector Agreement:80%

Website Classification

Primary Category

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

All Detected Categories

technology software
77%
cryptocurrency blockchain
76%
documentation technical
74%
corporate
35%
education learning
33%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
21104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2164.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
21142.251.20.97Google · CDNUnited States
AS15169Google LLC
21104.16.138.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
213.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
21104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21104.18.40.240Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
70232--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F8D3223D9150897E242A7B97AA5AA3E8E00B724DC531D778F27D4A39EF01F614523CB3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:sx7/H5gnzjsY383eBvzpOUKRkBnerG9xVsGPjPG6wUL23r271GZAM8Z8FmU3o40G:8/H58zbsEOUSa90Gr7wULz7eKM9jxVd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:130350:4myETAIlhHFCANGQGFQDlIgJaIcJCRgDRRP5gYKSBXQARjiBgY2pBNGu0zcsA0ABQLYSACJFd4BbCokEAADjxAyCIDm4hjCR

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:3ec783c3cfd783c7
Perceptual Hash:b40257cbd52dc738
Difference Hash:e89d363e3e26362e
Wavelet Hash:2407c78387ff83c6
Color Hash:#6653ac

Other Hashes

Crop Resistant:e89d363e3e26362e

Scan History

Scan history not available

Unable to load historical scan data