Summary
This website contacted 81 IPs in 9 countries across 31 domains to perform 312 HTTP transactions. The main domain is twoa.ac.nz.
Submitted URL: https://www.twoa.ac.nz/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate educational site with no security concerns.
Safety Factors
Details
Page Title
Te Wānanga o Aotearoa | Bridging & Tertiary Courses NZ | TWoA
Scan Type
public
Language
English
Category
education learning
(72%)Domain Information
You're looking at domain 'www.twoa.ac.nz' on the New Zealand country-code top-level domain (.ac.nz), featuring subdomain 'www'. The second-level label 'twoa' is 4 characters long holding 2 vowels versus two consonants. Splitting it apart reveals two words: two, a. Average segment length settles at two characters. Most frequently, 'two' shows up in Hungarian. You will also see it in Portuguese and Galician contexts.
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 |
|---|---|---|---|
| 72 | 23.222.236.16 | Milan, Lombardy, Italy | AS20940Akamai International B.V. |
| 3 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 216.239.32.36 | United States | AS15169GOOGLE |
| 3 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 3.171.214.123 | United States | AS16509AMAZON-02 |
| 3 | 142.250.185.227 | United States | AS15169GOOGLE |
| 3 | 23.36.162.7 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 23.36.162.25 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 46.137.24.143 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 312 | 81 | - | - |
Detected Technologies14
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
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