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Security Scan Report: metamask-docs-fbv47wj26-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/59abf3cb-783b-43b3-87dc-8cbd3567c64aDomain and IP registration (RDAP)/api/v1/rdap/59abf3cb-783b-43b3-87dc-8cbd3567c64aHow 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 35 IPs in 3 countries across 21 domains to perform 598 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded-wallets/sdk/react/advanced/wallet-services/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

MetaMask-branded documentation hosted on an unaffiliated vercel.app tenant that is listed as phishing by PhishDestroy and four OpenPhish URLs; no credential form here, but treat the host as a wallet-drainer lure and avoid connecting a wallet.

Risk Factors (5)
Brand impersonation: MetaMask documentation styling and naming on a vercel.app subdomain rather than docs.metamask.io
Domain-level phishing report (PhishDestroy) plus four OpenPhish URL reports for this host
Random hash-style subdomain naming used for a roleplay of an official brand documentation site
Circular redirect observed in the redirect chain (moderate signal)
Host is an instant-publish shared platform tenant with no verifiable ownership or domain age
Domain age information unavailable

Details

Page Title

Wallet Services | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Domain 'metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-fbv47wj26-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside 4 consonants. Tokenizing the label suggests 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-fbv47wj26-consensys-ddffed67.vercel.app/embedded-wallets/sdk/react/advanced/wallet-services/

Page Load Overview

1.68s
Total Load Time
5.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,791 chars
Detector Agreement:80%

Website Classification

Primary Category

cryptocurrency blockchain69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
69%
technology software
67%
documentation technical
60%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1764.239.123.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17142.251.14.97Google · CDNUnited States
AS15169Google LLC
17146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
173.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
17104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1754.84.171.30Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
17104.16.137.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
59835--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T109046475C1E1087B00F35FC795AA53A8A5A3628DC2218B70F3BDC7B9AF88D527453897

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AP58z8sXy7IPDZCNAL6PBLW/6CZDC/kCWLFLNLtL9LAcyCeLznCKLQ7+HCNALxwr:EhsXeIPDZCNAL6PBLW/6CZDC/kCWLFLf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:177470:mFA2poISJgEZJI2wFIoYASIUDoCMAGiCp5uABIHEEIF1giESAkFCqUKwwgIvoQFEEhEQoGAgoEGC7AwFK0wCAkkeQQigQQJE

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:ffffdfdfffc38383
Perceptual Hash:bcc27d82d72cd22c
Difference Hash:ccb9a736b63e2636
Wavelet Hash:7c1fc3c3c3878383
Color Hash:#40acbf

Other Hashes

Crop Resistant:ccb9a736b63e2636,0040b0c8c8200000,8000402020400080

Scan History

Scan history not available

Unable to load historical scan data