Security Scan Report: metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 41 IPs in 4 countries across 25 domains to perform 333 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/tutorials/use-erc20-paymaster/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Unauthorized MetaMask-branded documentation mirror on a random Vercel subdomain, reported as phishing by three single-source feeds; no credential form found here, but the impersonation and reports make it unsafe to trust.

Risk Factors (4)
Brand impersonation: MetaMask branding and documentation on a non-MetaMask, unranked vercel.app hostname with an obfuscated-looking subdomain
Multiples phishing threat-intel reports against the domain and two of its URLs (single-source, unverified)
Obfuscated hostname pattern (brand + random hex + corporate name) typical of phishing infrastructure on free hosting
Circular redirect and suspicious clipboard activity on capture
Domain age information unavailable

Details

Page Title

Use an ERC-20 paymaster with a smart account | 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 and includes subdomain 'metamask-docs-keec0mi8n-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and four consonants. Splitting it apart reveals two 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-keec0mi8n-consensys-ddffed67.vercel.app/tutorials/use-erc20-paymaster/

Page Load Overview

16.15s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,285 chars
Detector Agreement:80%

Website Classification

Primary Category

cryptocurrency blockchain71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
71%
technology software
65%
finance banking
53%
documentation technical
49%
cryptocurrency
45%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
864.239.123.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8142.251.20.97Google · CDNUnited States
AS15169Google LLC
8146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
83.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8104.16.139.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8216.66.8.43Toronto, Ontario, Canada
AS394230Civilized Discourse Construction Kit, Inc.
33341--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186E3C872C1E0047B04B35FCB99AA636CB6A3215ED2114B60F3BC87B97F88D967453897

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0P58a3suipLPDfPDUPDePDCPDLPD4zAPDMPDxvxJjI+PDmV/:Y7sNpLPDfPDUPDePDCPDLPDQAPDMPDxI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:143145:AEgsoBhAWgMAAS3WAaTCIFBhFUGFQdEOAiSxAo4JACdNBSJgqACEZAAjQZgQUpppIkkGsOI0UgAQVEK1gJRCIAJSDAMDAFmA

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:0087cdff8783bffe
Perceptual Hash:bf78442f45ca603b
Difference Hash:a01f195576566062
Wavelet Hash:0083cd8f86833ffe
Color Hash:#c7e06c

Other Hashes

Crop Resistant:a01f195576566062

Scan History

Scan history not available

Unable to load historical scan data