Summary
This website contacted 10 IPs in 3 countries across 13 domains to perform 1 HTTP transaction. The main domain is unicol.unimelb.edu.au and was registered NaN years ago.
Submitted URL: https://unicol.unimelb.edu.au
Effective URL: https://www.unicol.unimelb.edu.au/Redirected
The Cisco Umbrella rank of the primary domain is #133,608 of the top 1 million websites
AI Security Verdict
Details
Page Title
Student Accommodation Melbourne | University College
Scan Type
public
Language
English
Category
education learning
(72%)Domain Information
The domain 'unicol.unimelb.edu.au' uses the Australian country-code top-level domain (.edu.au); it also runs on subdomain 'unicol'. The core label 'unimelb' covers 7 characters containing 3 vowels alongside four consonants. Tokenizing the label suggests three words: uni, mel, b. The median word length lands at three characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 8 | 34.116.115.104 | Sydney, New South Wales, Australia | AS396982Google LLC |
| 7 | 23.32.238.235 | United States | |
| 7 | 142.250.187.228 | United States | AS15169Google LLC |
| 7 | 74.125.29.94 | United States | AS15169Google LLC |
| 7 | 104.18.19.251 | United States | AS13335Cloudflare, Inc. |
| 7 | 142.250.185.131 | United States | AS15169Google LLC |
| 7 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 7 | 142.251.141.72 | Unknown | Unknown |
| 7 | 23.32.238.176 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 34.96.127.16 | Kansas City, Missouri, United States | AS396982Google LLC |
| 71 | 10 | - | - |
Detected Technologies11
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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