Summary
This website contacted 98 IPs in 4 countries across 35 domains to perform 209 HTTP transactions. The main domain is auckland.ac.nz.
Submitted URL: https://www.auckland.ac.nz/en.html
The Cisco Umbrella rank of the primary domain is #242,679 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university website with no security concerns.
Safety Factors
Details
Page Title
Welcome - The University of Auckland
Scan Type
public
Language
English
Category
education learning
(74%)Domain Information
The domain 'www.auckland.ac.nz' uses the New Zealand country-code top-level domain (.ac.nz); it also runs on subdomain 'www'. Count 8 characters in 'auckland' split between 3 vowels and five consonants. Word splitting yields one word: auckland. 'auckland' is most common in English usage. Usage also turns up in Malay and Dutch contexts. Overall, 'www.auckland.ac.nz' reads as English with single-word simplicity.
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 |
|---|---|---|---|
| 15 | 2.21.245.205 | Berlin, State of Berlin, Germany | AS20940Akamai International B.V. |
| 2 | 18.172.114.101 | United States | AS16509AMAZON-02 |
| 2 | 34.252.132.217 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 2 | 66.235.152.111 | United States | AS16509AMAZON-02 |
| 2 | 95.100.248.145 | Berlin, State of Berlin, Germany | AS20940Akamai International B.V. |
| 2 | 104.17.209.240 | United States | AS13335CLOUDFLARENET |
| 2 | 34.249.22.29 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 2 | 52.223.40.198 | United States | AS16509AMAZON-02 |
| 2 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 209 | 98 | - | - |
Detected Technologies2
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
Scan History
Scan history not available
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