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Security Scan Report: metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app

Redirected to:
https://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/embedded...
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/db3ee9ce-95e0-4571-9120-033dfd7a66eeDomain and IP registration (RDAP)/api/v1/rdap/db3ee9ce-95e0-4571-9120-033dfd7a66eeHow 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 35 IPs in 2 countries across 21 domains to perform 600 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/embedded-wallets/sdk/ios

Effective URL:
https://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/embedded...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake MetaMask developer-docs site on a randomized vercel.app subdomain, flagged by multiple phishing feeds; wallet-brand impersonation lures developers even without a credential form.

Risk Factors (5)
Brand impersonation of MetaMask on an unofficial, unranked hosting-platform subdomain
Multiple phishing Indicators of Compromise on the primary domain and specific URLs
Randomized hash-style subdomain on a shared developer platform
Circular redirect behavior
Network IDS alerts for actor-abused cloud hosting infrastructure
Domain age information unavailable

Details

Page Title

Embedded Wallets SDK for iOS | 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), featuring subdomain 'metamask-docs-75mpj2s96-consensys-ddffed67'. The core label 'vercel' covers 6 characters with two vowels and 4 consonants. Word splitting yields 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-75mpj2s96-consensys-ddffed67.vercel.app/embedded-wallets/sdk/ios

Page Load Overview

10.18s
Total Load Time
4.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,873 chars
Detector Agreement:60%

Website Classification

Primary Category

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

All Detected Categories

technology software
71%
documentation technical
63%
cryptocurrency blockchain
43%
corporate
35%
cryptocurrency
22%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17151.101.65.229Fastly · CDNUnited States
AS54113Fastly, Inc.
1764.239.109.193Aws · 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.
17104.18.30.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17104.16.139.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
60035--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19B04757581E0087B00B35FC799D953A8E6A7624DD2218B70F3BCC7B9AF88D567493893

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ffeLUP58C/s67wrPD6PDlbtTLuVPDrtPPDHtjEtPDIgxPDCmJPzYmWzoPD0Uz0qH:t3s2qPD6PDlbtTLuVPDrtPPDHtjEtPDh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:179263:qjQBcSIOFgUIAgGJHAzBYAJAiJq8wQMFCTK6EYpboCJJiBIAgARLCpcQIKSAAAFBABc0hEmAJARhBWDGHSQKFQUCAh0cgsVM

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:bc827dc275ca4729
Difference Hash:ccb9bdb1acb0be16
Wavelet Hash:000f0fbd6f9f0f82
Color Hash:#ac40bf

Other Hashes

Crop Resistant:ccb9bdb1acb0be16,000020c888308000

Scan History

Scan history not available

Unable to load historical scan data