Summary
API
Submitted URL: https://snac.unimelb.edu.au
The Cisco Umbrella rank of the primary domain is #133,608 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Official University of Melbourne academic-centre policy page with no forms collecting credentials, no impersonation and no threat-intel hits; safe.
Safety Factors (5)
Details
Page Title
SNAC - Network Acceptable Use Policy
Scan Type
public
Domain Name Analysis
Domain 'snac.unimelb.edu.au' uses the Australian country-code top-level domain (.edu.au) and includes subdomain 'snac'. The core label 'unimelb' covers 7 characters holding 3 vowels versus 4 consonants. It segments into 3 words: uni, mel, b. Expect 3 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 |
|---|---|---|---|
| 13 | 27.131.74.66 | Melbourne, Victoria, Australia | AS38880Micron21 Datacentre Pty Ltd |
| 4 | 142.251.110.95Google · CDN | United States | AS15169Google LLC |
| 4 | 184.24.77.188Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 151.101.65.155Fastly · CDN | United States | AS54113Fastly, Inc. |
| 4 | 104.18.10.207Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 184.24.77.185Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 142.250.154.94Google · CDN | United States | AS15169Google LLC |
| 4 | 184.24.77.178Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 151.101.129.155Fastly · CDN | United States | AS54113Fastly, Inc. |
| 4 | 151.101.193.155Fastly · CDN | United States | AS54113Fastly, Inc. |
| 61 | 13 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
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