Security Scan Report: aleagues.com.au

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Submitted: Nov 24, 2025, 4:44:26 PMCompleted: Nov 24, 2025, 4:47:13 PMpubliccompleted
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Summary

This website contacted 132 IPs in 6 countries across 49 domains to perform 231 HTTP transactions. The main domain is aleagues.com.au and was registered NaN years ago.

Submitted URL: https://aleagues.com.au/match/afc-champions-league/al-duhail-vs-al-ittihad-25-11-2025/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

New, unranked domain impersonating A-Leagues and collecting personal data – confirmed phishing scam.

Risk Factors
Brand impersonation on a newly registered, unranked domain
Domain age < 7 days
Consent form harvesting personal data
Unranked domain claiming official sports league
Domain age information unavailable

Details

Page Title

Al Duhail vs Al Ittihad - 25 Nov 2025 | AFC Champions League

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(70%)

Domain Information

The domain 'aleagues.com.au' uses the Australian country-code top-level domain (.com.au). The registrable portion 'aleagues' spans 8 characters containing 5 vowels alongside three consonants. Breaking it apart gives two words: a, leagues. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aleagues.com.au/match/afc-champions-league/al-duhail-vs-al-ittihad-25-11-2025/

Page Load Overview

3.02s
Total Load Time
231
HTTP Requests
49
Domains
3.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-AU
Text Length:37,154 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media70% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
70%
news media journalism
48%
news/blog
35%
adult content
30%
e-commerce shopping
28%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
86192.0.66.94San Francisco, California, United States
AS2635AUTOMATTIC
11216.58.206.72United States
AS15169GOOGLE
7104.102.33.86Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
63.174.46.51United States
AS16509AMAZON-02
613.226.244.100United States
AS16509AMAZON-02
6142.250.185.142United States
AS15169GOOGLE
652.216.212.41Ashburn, Virginia, United States
AS16509AMAZON-02
413.226.244.121United States
AS16509AMAZON-02
4142.250.185.66United States
AS15169GOOGLE
4216.239.34.36United States
AS15169GOOGLE
231132--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C9429B160BD6836802F73E25009A354F1FBE772DB9593D1B2FF826863D1D58A96B01C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Y21tOPla0DFZi1ncT16LugfSG7qLYYxFlMcb0l7OOFkSmyMVkSmyMlkSmyMlkSmV:RKbDMUDM8H2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:415385:Ang4CwWBSiiClICEHAQ3AIj4I1EIAR5AJEJoFFSI5gHhYECPQY9BCAMkhwPAJegBEUhCAXFopgTrcJwCZoUQRCgBRTsYSAgQ

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:ff00ff000000ffff
Perceptual Hash:a048f52ae8f18db7
Difference Hash:87b18d9155a90c06
Wavelet Hash:ff00ff000000ffff
Color Hash:#53aca6

Scan History

Scan history not available

Unable to load historical scan data