Security Scan Report: usc.edu.au

Redirected to:
https://www.unisc.edu.au/
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Submitted: May 30, 2026, 3:00:02 AMCompleted: May 30, 2026, 3:02:09 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is unisc.edu.au.

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

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

The Cisco Umbrella rank of the primary domain is #747,222 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Site shows moderate risk due to unknown domain age and low ranking, but lacks phishing or malware indicators.

Risk Factors
Unknown domain age with brand claim
Low domain reputation ranking
High JavaScript obfuscation without accompanying malware indicators
Safety Factors
Final URL (www.unisc.edu.au) matches the official university domain
No credential or payment forms present
No Indicators of Compromise, YARA malware matches, or IDS alerts
Domain age information unavailable

Details

Page Title

UniSC | University of the Sunshine Coast, Queensland, Australia

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(81%)

Domain Information

The domain 'usc.edu.au' uses the Australian country-code top-level domain (.edu.au) with no subdomain. The core label 'usc' covers 3 characters split between one vowel and 2 consonants. Tokenizing the label suggests one word: usc. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

31.55s
Total Load Time
142
HTTP Requests
47
Domains
4.1 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:5,668 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning81% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
81%
government public service
55%
education
45%
healthcare medical
32%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
48104.19.231.99United States
AS13335Cloudflare, Inc.
47104.18.1.22United States
AS13335Cloudflare, Inc.
47203.29.107.86Sunshine Coast, Queensland, Australia
AS7575Australian Academic and Research Network AARNet
1423--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126C31A1274F0303B022B02CAA677B32D7993E107E7A25910B5FD4A746FC6EC6982759F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tdgoGcukMzef/L83N3T3W3K37eQhwvRigRESkYPxf2wi/dcv1PYMTgy:v1ukMzcC3T3W3K37eQhqPxOFKuw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:126768:FnzigHASKIhgpOCjGARIcoGhURAMI2SUMDWQAOdHDmYWQ4EDKwgDCMgkBMDRMAEYCiCIQIIyliR6BAPRIQAQ5EhARAlokOIC

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:ff100000ffffffff
Perceptual Hash:8c4ca9b9b472f2b2
Difference Hash:33b3ede424382fcf
Wavelet Hash:ff00000017ffff0f
Color Hash:#bf7540

Other Hashes

Scan History

Scan history not available

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