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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/1531a560-3a24-4f3a-8562-47e5e29db73aDomain and IP registration (RDAP)/api/v1/rdap/1531a560-3a24-4f3a-8562-47e5e29db73aHow 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 37 IPs in 2 countries across 21 domains to perform 576 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/ios

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

MetaMask-branded developer docs served from an unowned vercel.app subdomain that threat-intel feeds report as phishing; no credential form found, but the brand/domain mismatch plus phishing reports make it unsafe to trust.

Risk Factors (4)
Primary domain and five URLs flagged as phishing by threat-intel feeds
Impersonation of the MetaMask/Consensys brand on a hostname outside the brand's official domain
Instant-publish vercel.app subdomain with unknown creation date and no domain ranking
Circular redirect on the scanned path
Domain age information unavailable

Details

Page Title

Embedded Wallets SDK for iOS | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

You're looking at domain 'metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'metamask-docs-fbv47wj26-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus 4 consonants. Word splitting yields 2 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-fbv47wj26-consensys-ddffed67.vercel.app/embedded-wallets/sdk/ios

Page Load Overview

13.42s
Total Load Time
3.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,870 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
65%
cryptocurrency blockchain
46%
corporate
35%
cryptocurrency
22%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3664.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1564.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
15104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1564.239.123.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
15142.251.14.97Google · CDNUnited States
AS15169Google LLC
15104.16.141.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
15146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
153.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15172.64.147.16Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
15104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
57637--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7047575C2E0087B00B35FC795DA53A8A6A3624DD2118B70F3BDC7B96F88D567493893

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ffeLpP58z4si7G7PD6PDlbtTLuVPDrtPPDHtjEtPDIgxPDCmJPzYmWzoPD0Uz0qc:sLsO6PD6PDlbtTLuVPDrtPPDHtjEtPD+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:177882:7YYYWLCIdkRERJCKDVLMpIMUpiEAsWEgiABJBMOOmlJEFggAstJAAZG7iAEEhAL4BGQBMHRAgNkFMDRlM+2AhIgghR+kCEoN

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:7edf1fffffffc383
Perceptual Hash:bcc275c275ca5529
Difference Hash:ccb9bdb5adb0be16
Wavelet Hash:000f0fbd6f9f0f82
Color Hash:#40acbf

Other Hashes

Crop Resistant:ccb9bdb5adb0be16,000020c888308000

Scan History

Scan history not available

Unable to load historical scan data