Security Scan Report: mirror.aarnet.edu.au

Submitted: Jan 3, 2026, 6:08:15 AMCompleted: Jan 3, 2026, 6:12:23 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 20 HTTP transactions. The main domain is mirror.aarnet.edu.au and was registered NaN years ago.

Submitted URL: https://mirror.aarnet.edu.au

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Site appears legitimate with no detected threats.

Safety Factors
Domain age within acceptable range for a new service
No malicious Indicators of Compromise detected
No credential or payment collection forms
Page title aligns with expected service (AARNet Mirror)
Domain age information unavailable

Details

Page Title

AARNet Mirror

Scan Type

public

Language

🇺🇸

English

(39% confidence)

Category

education

(90%)

Domain Information

Domain 'mirror.aarnet.edu.au' uses the Australian country-code top-level domain (.edu.au); it also runs on subdomain 'mirror'. The registrable portion 'aarnet' spans 6 characters with 3 vowels and 3 consonants. Tokenizing the label suggests 2 words: aar, net. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mirror.aarnet.edu.au

Page Load Overview

245.63s
Total Load Time
20
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:39%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:39%
Script Type:Latin
Text Length:484 chars
Detector Agreement:75%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13202.158.214.106Sydney, New South Wales, Australia
AS7575Australian Academic and Research Network AARNet
1142.250.186.131United States
AS15169GOOGLE
1142.250.186.170United States
AS15169GOOGLE
03--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165D1FD7395DC19AB02128681AD216738E8475D77CA1B9EE2F0BF495D9FC5D93CC0314A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:zsiQwi+M6QCe2rWUSZ1hmDues7WHMM7DCbsiDHOjKWja:FQCTtiODue6W5XCsiuKWja

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6466:IUQKwBsEMpRFTAAckASJKERACACEkJiKzJIGBDQDiQUVDXSABiBSBQ0gAjICEAQUgAAB4KEALkaJFgAhACQAAZgAsCIbAlmI

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data