Summary
This website contacted 9 IPs in 4 countries across 10 domains to perform 1 HTTP transaction. The main domain is swinburne.edu.au.
Submitted URL: https://astronomy.swin.edu.au
Effective URL: https://www.swinburne.edu.au/research/centres-groups-clinics/centre-for-astrophysics-supercomputing/Redirected
The Cisco Umbrella rank of the primary domain is #170,690 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university research page with no security concerns.
Safety Factors
Details
Page Title
Centre for Astrophysics and Supercomputing (CAS) | Swinburne
Scan Type
public
Language
English
Category
education
(90%)Domain Information
The domain name 'astronomy.swin.edu.au' uses the Australian country-code top-level domain (.edu.au), featuring subdomain 'astronomy'. Its registrable label 'swin' stretches across 4 characters holding one vowel versus 3 consonants. Breaking it apart gives two words: s, win. Expect 2 characters per word on average. 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 |
|---|---|---|---|
| 17 | 129.148.159.52 | Bungarribee, New South Wales, Australia | AS31898Oracle Corporation |
| 14 | 63.140.62.172 | United States | |
| 14 | 54.75.111.174 | Ireland | |
| 14 | 136.186.1.60 | Melbourne, Victoria, Australia | AS58686Swinburne University of Technology |
| 14 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 14 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 14 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 14 | 13.107.213.44 | United States | AS8075Microsoft Corporation |
| 14 | 35.190.14.188 | United States | AS396982Google LLC |
| 129 | 9 | - | - |
Detected Technologies9
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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