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Security Scan Report: studyonline.unsw.edu.au

Submitted: Nov 13, 2025, 12:14:45 PMCompleted: Nov 13, 2025, 12:15:54 PMpubliccompleted
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Summary

This website contacted 83 IPs in 0 countries across 30 domains to perform 168 HTTP transactions. The main domain is studyonline.unsw.edu.au and was registered NaN years ago.

Submitted URL: https://studyonline.unsw.edu.au/blog/what-is-iot

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate UNSW page with no security concerns.

Safety Factors
Hosted on a reputable university domain
Domain age of 397 days (established)
No external links or third‑party resources detected
No hidden or disguised form fields
Domain age information unavailable

Details

Page Title

What Is the Internet of Things (IoT) and How Does It Work? | UNSW Online

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(88%)

Domain Information

Within the Australian country-code top-level domain (.edu.au), 'studyonline.unsw.edu.au' is registered and includes subdomain 'studyonline'. The registrable portion 'unsw' spans 4 characters containing one vowel alongside 3 consonants. Splitting it apart reveals two words: u, nsw. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://studyonline.unsw.edu.au/blog/what-is-iot

Page Load Overview

10.50s
Total Load Time
168
HTTP Requests
30
Domains
2.3 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
Text Length:22,981 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software88% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
88%
education
45%
education learning
31%
documentation technical
30%
news/blog
20%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.239.34.36UnknownUnknown
223.50.131.150UnknownUnknown
2162.247.241.14UnknownUnknown
252.242.103.142UnknownUnknown
22.19.248.208UnknownUnknown
2216.58.212.136UnknownUnknown
218.66.102.51UnknownUnknown
2172.64.147.188UnknownUnknown
2150.171.27.10UnknownUnknown
223.36.162.30UnknownUnknown
16883--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19EC442A5D19A00CA5392C42F7FD2F739FDB2F329EA605D4AF0168D180DE2B561085FE9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:T01ZEyhMKVUvgIlRmZ0lH5FClFlS8bUcnrQpnUrwq1E1IZ3/g2ln++1fbbqMAXHo:T001lRmZ0rFClFlp1EQ3IOn+ib5f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:588941:AwgBfHFRZmAWEiQBCCWBwESaCB4AFAHBZDEeLkGAYl6EpgIEICDFA6FUU0KI8UAGTiAoAAgSCQdRgnniwuHCKDQIghBKAoFB

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:f9ffbf81c1c3c7c7
Perceptual Hash:b9ce92694932ce4b
Difference Hash:3b306f23331b1c1e
Wavelet Hash:99dfbb8181838787
Color Hash:#7982d2

Other Hashes

Crop Resistant:3b306f23331b1c1e

Scan History

Scan history not available

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