Security Scan Report: www.aut.ac.nz

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Submitted: Nov 25, 2025, 10:59:47 PMCompleted: Nov 25, 2025, 11:03:50 PMpubliccompleted
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Summary

This website contacted 83 IPs in 6 countries across 28 domains to perform 113 HTTP transactions. The main domain is aut.ac.nz.

Submitted URL: https://www.aut.ac.nz/

The Cisco Umbrella rank of the primary domain is #220,976 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university site with no detected security threats.

Safety Factors
Official .ac.nz educational domain (Auckland University of Technology)
No credential or payment collection forms
No external links or redirects detected
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

AUT – Knowledge that works – Auckland, New Zealand

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'www.aut.ac.nz' uses the New Zealand country-code top-level domain (.ac.nz) with subdomain 'www'. Count 3 characters in 'aut' holding 2 vowels versus one consonant. It segments into 1 word: aut. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.aut.ac.nz/

Page Load Overview

4.54s
Total Load Time
113
HTTP Requests
28
Domains
4.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:11,183 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
education learning
28%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
632.58.104.10Poland
AS55532Squiz Pty Ltd
823.36.162.135Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4142.251.140.168United States
AS15169GOOGLE
3150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2142.250.185.227United States
AS15169GOOGLE
2104.102.41.211Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2216.239.34.36United States
AS15169GOOGLE
2156.62.238.90Auckland, Auckland, New Zealand
AS24398Auckland University of Technology
11383--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T114B383B740A0512F0162C1D97A31AB1BE9C38147D9264548B7EC07A5EFCFCE2AD5B26F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4BqXs/ZLEKUHsfp5lAmiewZkwFO8SGHZ1d9vxYi2o:4iPyp5lAmizHZf9JYi2o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:117886:DVGKBEAMiQMQCEAIhiAIDpEBAgAwEswwSJUiOAycgkyRAcxMSQGqE128CwtSIAtAgCqGQgHFGRaCURngAhKHIBCAEAQBENij

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:8080eefafcf09cff
Perceptual Hash:fc603a7eac3cc093
Difference Hash:2719d8a4b0203838
Wavelet Hash:8080e6d6fcf084ff
Color Hash:#1f933a

Scan History

Scan history not available

Unable to load historical scan data