Security Scan Report: csu.edu.au

Redirected to: https://www.csu.edu.au/

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Submitted: Dec 21, 2025, 10:06:52 PMCompleted: Dec 21, 2025, 10:08:43 PMpubliccompleted
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Summary

This website contacted 83 IPs in 9 countries across 75 domains to perform 242 HTTP transactions. The main domain is csu.edu.au and was registered NaN years ago.

Submitted URL: https://csu.edu.au

Effective URL: https://www.csu.edu.au/Redirected

The Cisco Umbrella rank of the primary domain is #445,093 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official university domain (csu.edu.au)
Established domain age (>1 year)
No credential or payment forms present
Domain age information unavailable

Details

Page Title

Home - Charles Sturt University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain name 'csu.edu.au' uses the Australian country-code top-level domain (.edu.au) without a subdomain. The second-level label 'csu' is 3 characters long split between 1 vowel and 2 consonants. Breaking it apart gives one word: csu. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://csu.edu.au

Page Load Overview

19.90s
Total Load Time
242
HTTP Requests
75
Domains
6.0 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:24,714 chars
Detector Agreement:75%

Website Classification

Primary Category

education45% confidence
Type: webapp
Method: ml+structural

All Detected Categories

education
45%
education learning
41%
healthcare medical
34%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
78216.239.34.36United States
AS15169GOOGLE
213.33.235.106New York, New York, United States
AS16509AMAZON-02
23.104.214.185Sydney, New South Wales, Australia
AS16509AMAZON-02
2142.251.38.67United States
AS15169GOOGLE
263.140.62.210United States
AS16509AMAZON-02
223.67.137.233Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2157.240.205.11Helsinki, Uusimaa, Finland
AS32934FACEBOOK
2199.232.174.49Stockholm, Stockholm County, Sweden
AS54113FASTLY
252.18.90.170Dublin, Leinster, Ireland
AS16509AMAZON-02
213.238.137.192Sydney, New South Wales, Australia
AS16509AMAZON-02
24283--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16CF409A29AAC3D37839343DCB1A26B5D74AAD10BE1488C44F4FC41657F91EB82E0776D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:eYrEgJRTc2W/Hknwm65HkTQxdqxX3Vn62nB72JLxCKjnrEIBN9rnLCh4wxosxn:3QgYpkTQxdqBV62B74rjG4U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:764287:Q4ATwyARBJAVCzB8osxIoHiMogTsc4gmJOBYQgQM0DJgFRgAABrgGE6BQjQgYDFnYYQASRoh+ISIB9ZBIoqkKxBC+A0QgMDx

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:ff01000030ffd3d7
Perceptual Hash:ad13fcc4c6f0d4c1
Difference Hash:b8dbdedde527272e
Wavelet Hash:ff01000030fff3df
Color Hash:#2d8486

Scan History

Scan history not available

Unable to load historical scan data