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Security Scan Report: metamask-docs-keec0mi8n-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/c0e31a33-8b3a-4ce6-ae23-4814a6f37773Domain and IP registration (RDAP)/api/v1/rdap/c0e31a33-8b3a-4ce6-ae23-4814a6f37773How often this domain was scanned/api/v1/domain/stats/metamask-docs-keec0mi8n-consensys-ddffed67.vercel.appScan history for this domain/api/v1/domain/history/metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app?limit=15
This website contacted 46 IPs in 3 countries across 30 domains to perform 853 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/snaps/

AI Security Verdict

High Risk

Confidence: 74%

8
Risk Score

MetaMask/Consensys documentation look-alike on an unofficial vercel.app subdomain with 3 single-source phishing threat-intel reports and abused-hosting IDS alerts; no credential form seen, but do not trust or connect a wallet there.

Risk Factors (5)
Three single-source phishing threat-intel reports against the exact host and specific paths
Unofficial look-alike of a well-known crypto wallet brand's documentation on a throwaway-style hosting subdomain
Obfuscated-looking deployment alias embedding the brand and 'consensys' in a way typical of cloned docs mirrors
Domain unranked in Cisco Umbrella and hosted on a namespace anyone can publish to; creation date not verifiable
IDS alerts for commonly actor-abused cloud hosting service
Domain age information unavailable

Details

Page Title

Snaps introduction | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app' is registered with subdomain 'metamask-docs-keec0mi8n-consensys-ddffed67'. The core label 'vercel' covers 6 characters holding 2 vowels versus 4 consonants. Word splitting yields 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/snaps/

Page Load Overview

16.65s
Total Load Time
4.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,106 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
68%
cryptocurrency blockchain
64%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1864.239.109.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18142.251.110.97Google · CDNUnited States
AS15169Google LLC
18142.251.157.4Google · CDNUnited States
AS15169Google LLC
18146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
183.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
18104.16.139.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
18104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
85346--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T114F3513D8000887F54226AE7A96E63E8E057728DC674D674F3BC4B3EAF41F519526CA3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:D/H58avs/qqSa90GrikUcz7kDe8eeeveme3eReee7eFeLeqeXeSeBeMeqeaeyebW:DP58avsji2XAV/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:163620:CQGEGbRogBmACZCLgZ7YAQgwtwAgAVBgRpGSlIsQC2NFAQuWNEYDhQH4SJKopBVYAGIjCOhxgSJYCCoogIABgBMkFQE48UFQ

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:ffffffc383838383
Perceptual Hash:bcc3d22c7dc2c23c
Difference Hash:b01bb00636363626
Wavelet Hash:1ecfdf8383838383
Color Hash:#4082bf

Other Hashes

Crop Resistant:b01bb00636363626,866969c8f0605482

Scan History

Scan history not available

Unable to load historical scan data