Security Scan Report: about.uq.edu.au

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Submitted: Dec 24, 2025, 7:31:26 PMCompleted: Dec 24, 2025, 7:41:13 PMpubliccompleted
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Summary

This website contacted 17 IPs in 4 countries across 19 domains to perform 80 HTTP transactions. The main domain is about.uq.edu.au and was registered NaN years ago.

Submitted URL: https://about.uq.edu.au/faculties-institutes/hmbs

The Cisco Umbrella rank of the primary domain is #116,203 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Faculty of Health, Medicine and Behavioural Sciences | The University of Queensland

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(77%)

Domain Information

Within the Australian country-code top-level domain (.edu.au), 'about.uq.edu.au' is registered with subdomain 'about'. The registrable portion 'uq' spans 2 characters with 1 vowel and 1 consonant. Breaking it apart gives two words: u, q. Average segment length settles at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://about.uq.edu.au/faculties-institutes/hmbs

Page Load Overview

114.92s
Total Load Time
106
HTTP Requests
22
Domains
3.0 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
Text Length:14,011 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service77% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
77%
education
45%
healthcare medical
44%
education learning
30%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1023.185.0.1United States
AS54113FASTLY
618.66.102.53United States
AS16509AMAZON-02
6142.250.185.227United States
AS15169GOOGLE
6157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
6216.239.34.36United States
AS15169GOOGLE
613.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
6172.217.23.106United States
AS15169GOOGLE
62.18.64.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6130.102.184.3Brisbane, Queensland, Australia
AS24436University of Queensland
620.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
10617--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DA047561B3B9113A165361C7E725333B9492C643F3082CE1B1EC8B799F86E149A63F5E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:s4r+LZF+Ww1PjETKXAanipJm+RVvGblqy23QPh7txJORGCsKXT5lF3kDo3aNPmEc:e0CLjrs7yjXqHXrDdZkyWNwTUbRz3H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:174246:AhgcgQCWh3BQeGJEyHVYCSAQvECYy6IAAIIA9URg5llCTKCQOACQZGoJqsoAAkAJCCaDIBG0EUB2sSMBJA5B4PQECJDqExoo

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