Security Scan Report: www.aut.ac.nz

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Submitted: Jan 8, 2026, 5:32:16 AMCompleted: Jan 8, 2026, 5:34:15 AMpubliccompleted
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Summary

This website contacted 36 IPs in 6 countries across 27 domains to perform 122 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 security concerns.

Safety Factors
Official university domain
No credential or payment collection forms
Low ranking does not imply malicious intent for educational institutions
No suspicious redirects or hidden fields
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) and includes subdomain 'www'. The core label 'aut' covers 3 characters holding two vowels versus 1 consonant. It segments into one word: aut. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

16.36s
Total Load Time
99
HTTP Requests
28
Domains
3.7 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:11,089 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
29172.66.0.227United States
AS13335CLOUDFLARENET
265.9.175.11New Zealand
23.104.246.3Poland
2156.62.238.90Auckland, Auckland, New Zealand
AS24398Auckland University of Technology
265.9.175.43Finland
2146.75.120.157Germany
2142.250.186.130Australia
274.125.206.156Unknown
2150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
223.22.90.252Unknown
9936--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E7C396B741A0516B0162C1D87932EB1BE9C3814BDD264549B7EC07A4EFCBCE29D4B26F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:We4rUbPBqyj/8aEKSHPepHlAmiesJkwxO8Sgc1d6O+Xwq1vxYi2+AQ:W+/gWpHlAmivcfCDJYi2s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:120123:mUIohJgKCDIYElxGCgAKckdAbkgYCgbQRAg0AGjBiplhYSUEAcQOBgJMQkO9AzECggCMCoYFIqOFAGgxBQBsMAjwjHIENONq

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:0000ecfcf8dcffff
Perceptual Hash:d04327784eb5f0e3
Difference Hash:9dc9c8b0c1b01e23
Wavelet Hash:000060f8f0dcffff
Color Hash:#bfac40

Scan History

Scan history not available

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