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Security Scan Report: metamask-docs-ctqr7yuof-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/ad53a282-b59c-4de8-b421-25769fe74c3fDomain and IP registration (RDAP)/api/v1/rdap/ad53a282-b59c-4de8-b421-25769fe74c3fHow often this domain was scanned/api/v1/domain/stats/metamask-docs-ctqr7yuof-consensys-ddffed67.vercel.appScan history for this domain/api/v1/domain/history/metamask-docs-ctqr7yuof-consensys-ddffed67.vercel.app?limit=15
This website contacted 31 IPs in 2 countries across 21 domains to perform 631 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-ctqr7yuof-consensys-ddffed67.vercel.app/embedded-wallets/sdk/ios/advanced/dapp-share/

AI Security Verdict

High Risk

Confidence: 62%

7
Risk Score

Single-source OpenPhish phishing report on a vercel.app page presenting as MetaMask docs, plus a circular redirect, drives the score; content is coherent documentation with no credential or payment form, so corroboration is weak.

Risk Factors (4)
Single-source OpenPhish phishing report naming the scanned primary domain
MetaMask-branded technical documentation served from an unranked third-party vercel.app preview subdomain of unknown creation date
Circular redirect in the capture chain
Outbound link to a domain flagged (single-source) as ClearFake
Domain age information unavailable

Details

Page Title

Dapp share | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Domain 'metamask-docs-ctqr7yuof-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'metamask-docs-ctqr7yuof-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside four consonants. Segmentation suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

eta a eta Products Embedded Wallets Web Mobile & Gaming los v | vil. Backend Get started Advanced Overview Custom authentication Whitelabel Multi-factor authentication Dapp Share Usage Examples...

Page Load Overview

1.60s
Total Load Time
5.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,267 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
71%
cryptocurrency blockchain
53%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
20104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20142.251.20.97Google · CDNUnited States
AS15169Google LLC
2064.239.123.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
20104.16.138.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
203.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
20172.64.147.16Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20104.17.175.201Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
63131--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11BE3743581E0487F04B76BC7999A93E8E593624EC220C770F3BD87B9AF44E556463CA3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:A/H58/rFsT+kSa90Gr6kUW/z7g5MUBPDkePDVQoJPDgNp:AP58/xs16yQ5MUBPDkePDVQoJPDyp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:155880:GCZRzkADxzLMwsAASIDzFCboAIgZhgjjQCMhMEZFxgAgCQIE0YAaBCAxEgCARVQChZIqgBOB9jFIopSBQ4rlmMGJAZBBwykM

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:007f07c3cfdfc383
Perceptual Hash:bc0257c2752b3d2b
Difference Hash:88a9bf3ebeb61e36
Wavelet Hash:001f07c3cfdfc383
Color Hash:07000e00000

Other Hashes

Crop Resistant:88a9bf3ebeb61e36

Scan History

Scan history not available

Unable to load historical scan data