Summary
This website contacted 34 IPs in 3 countries across 30 domains to perform 236 HTTP transactions. The main domain is brisbaneroar.com.au and was registered NaN years ago.
Submitted URL: https://brisbaneroar.com.au/match/a-league-men/melbourne-city-vs-brisbane-roar-11-01-2025/
AI Security Verdict
Confirmed Scam
Confidence: 95%
New, unranked domain mimicking Brisbane Roar – confirmed phishing scam.
Risk Factors
Details
Page Title
Melbourne City vs Brisbane Roar | 2024/2025 Live Score - Saturday 11th January 2025
Scan Type
public
Language
English
Category
news media journalism
(76%)Domain Information
Domain 'brisbaneroar.com.au' uses the Australian country-code top-level domain (.com.au) and has no subdomain. Count 12 characters in 'brisbaneroar' with five vowels and 7 consonants. Word splitting yields two words: brisbane, roar. Median word length comes out to 6 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 |
|---|---|---|---|
| 29 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 142.251.141.100 | United States | AS15169GOOGLE |
| 6 | 192.0.77.48 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 6 | 172.67.142.245 | Unknown | |
| 6 | 185.111.111.155 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 6 | 146.75.122.27 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 6 | 192.0.66.94 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 6 | 216.58.206.42 | United States | AS15169GOOGLE |
| 6 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 6 | 184.24.77.145 | Unknown | Unknown |
| 227 | 34 | - | - |
Detected Technologies7
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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