Summary
This website contacted 43 IPs in 4 countries across 14 domains to perform 59 HTTP transactions. The main domain is mcg.org.au.
Submitted URL: https://mcg.org.au/whats-on/events-calendar/2025/october/t20-international---australia-v-india
Effective URL: https://www.mcg.org.au/events/2025/october/t20-international---australia-v-indiaRedirected
AI Security Verdict
Safe Website
Confidence: 92%
The page appears legitimate with no security concerns.
Safety Factors
Details
Page Title
T20 International - Australia v India | Melbourne Cricket Ground | MCG
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
Domain 'mcg.org.au' uses the Australian country-code top-level domain (.org.au) while skipping any subdomain. Count 3 characters in 'mcg' holding 0 vowels versus three consonants. Segmentation suggests one word: mcg. 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 |
|---|---|---|---|
| 33 | 104.18.38.105 | United States | AS13335CLOUDFLARENET |
| 17 | 142.250.184.232 | United States | AS15169GOOGLE |
| 5 | 216.239.34.36 | United States | AS15169GOOGLE |
| 5 | 142.250.186.104 | United States | AS15169GOOGLE |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 20.50.88.233 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 172.217.23.100 | United States | AS15169GOOGLE |
| 59 | 43 | - | - |
Detected Technologies14
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
Other Hashes
Scan History
Scan history not available
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