Security Scan Report: snac.unimelb.edu.au

Redirected to:
https://www.snac.unimelb.edu.au/network-acceptable-use-policy/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 13 IPs in 3 countries across 8 domains to perform 61 HTTP transactions. The main domain is unimelb.edu.au.

Submitted URL: https://snac.unimelb.edu.au

Effective URL:
https://www.snac.unimelb.edu.au/network-acceptable-use-policy/
Redirected

The Cisco Umbrella rank of the primary domain is #133,608 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official University of Melbourne academic-centre policy page with no forms collecting credentials, no impersonation and no threat-intel hits; safe.

Safety Factors (5)
Legitimate university-owned domain (unimelb.edu.au)
Self-branding consistent with domain — no impersonation of another entity
No credential or payment collection
No threat-intelligence, YARA or IDS findings
Consistent institutional content, staff sign-off and physical address
Domain age information unavailable

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

Security scan screenshot of https://snac.unimelb.edu.au

Page Load Overview

18.66s
Total Load Time
4.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:5,752 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
47%
government public service
45%
education
45%
phishing scam
38%
technology software
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1327.131.74.66Melbourne, Victoria, Australia
AS38880Micron21 Datacentre Pty Ltd
4142.251.110.95Google · CDNUnited States
AS15169Google LLC
4184.24.77.188Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
4104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4184.24.77.185Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4142.250.154.94Google · CDNUnited States
AS15169Google LLC
4184.24.77.178Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
4151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
6113--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T171520C1757DC277302620186B5357399E6BBA837D22318D5F5BF42B83BC2E98443B45B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:QeQIlYZDi1v7ZRUuwGl2tRES9tspR5RxrgRA/LTE8KrTwtO5/wtOj:QexlC+h7ZRyGa9uXnC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14285:GFiAhATRAgjgoEBkQAMCEUCBIBBAqBCEFgWIOtEJEMigDBF4BikwkOahlJDqDIFiCZLUUAco6CBwEAkJoARwwEOhyIAzBCIA

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:ff820024ffffffff
Perceptual Hash:b757e8a8a8031775
Difference Hash:8d264c5d064c3016
Wavelet Hash:e6020000c3ffdfdf
Color Hash:#693a78

Scan History

Scan history not available

Unable to load historical scan data