Summary
This website contacted 82 IPs in 2 countries across 21 domains to perform 359 HTTP transactions. The main domain is support.metamask.io.
Submitted URL: https://support.metamask.io/
The Cisco Umbrella rank of the primary domain is #12,912 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate MetaMask support page with no security concerns.
Safety Factors
Details
Page Title
MetaMask Help Center
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(72%)Domain Information
Within the British Indian Ocean Territory country-code top-level domain (.io), 'support.metamask.io' is registered with subdomain 'support'. The registrable portion 'metamask' spans 8 characters split between 3 vowels and five consonants. It segments into two words: meta, mask. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 321 | 104.21.64.131 | United States | AS13335CLOUDFLARENET |
| 6 | 216.239.34.36 | United States | AS15169GOOGLE |
| 5 | 3.224.200.38 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 104.17.91.187 | United States | AS13335CLOUDFLARENET |
| 4 | 3.174.46.20 | United States | AS16509AMAZON-02 |
| 4 | 18.235.254.97 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 2.18.64.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 104.16.160.168 | United States | AS13335CLOUDFLARENET |
| 4 | 54.204.114.85 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 54.192.35.71 | United States | AS16509AMAZON-02 |
| 359 | 82 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
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