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Security Scan Report: metamask-docs-75mpj2s96-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/e3764fba-e39c-4bad-99cb-bb3f3cf66e76Domain and IP registration (RDAP)/api/v1/rdap/e3764fba-e39c-4bad-99cb-bb3f3cf66e76How 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 44 IPs in 2 countries across 30 domains to perform 801 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/snaps/

AI Security Verdict

High Risk

Confidence: 55%

7
Risk Score

Looks like a legitimate MetaMask developer-docs preview on a vercel.app deployment (no credential/payment forms, no malware). The only real negative is a single-source, unverified OpenPhish phishing report plus generic vercel.app abuse context — treat with caution.

Risk Factors (3)
Single-source, unverified phishing report on this Vercel host (uncorroborated)
Generic .vercel.app hosting subdomain with unknown creation date — publishes instantly, no reputation of its own
Circular redirect on the /snaps path
Domain age information unavailable

Details

Page Title

Snaps introduction | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

You're looking at domain 'metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'metamask-docs-75mpj2s96-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters with two vowels and four consonants. It segments into two 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-75mpj2s96-consensys-ddffed67.vercel.app/snaps/

Page Load Overview

6.73s
Total Load Time
6.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,232 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
59%
cryptocurrency blockchain
39%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2764.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1864.239.109.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18142.251.20.97Google · CDNUnited States
AS15169Google LLC
18142.251.153.4Google · CDNUnited States
AS15169Google LLC
18146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
183.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
18104.18.30.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
18104.16.138.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
18104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
80144--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103F3713D9010887F1426ABD7A95EA3E8E057728EC934D674F27C4A3DEF41F628516CA3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Y/H58Cls2OUSa90Gr7wUSz7kDe8eeeveme3eReee7eFeLeqeXeSeBeMeaeyebeCf:YP58ClsE7qXCVM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:163786:hEmSJUJUodRkIgCMCRhPhkAIok4MWMOlbTxoIA0RIoNyEKAggMcAUBImgjmogkSAgwCMARBCl0mXAEWEKEIlwEQAEBdwngyA

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:bcc3d22c7dc2d21c
Difference Hash:c81bb00636363626
Wavelet Hash:7e8fcf8383838383
Color Hash:#741f93

Other Hashes

Crop Resistant:c81bb00636363626,866969c8f0605482

Scan History

Scan history not available

Unable to load historical scan data