Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is sit.ac.nz.
Submitted URL: http://www.telford.ac.nz/
Effective URL: https://www.sit.ac.nz/campus/Telford?subject=Agriculture-Environmental-Life-SciencesRedirected
AI Security Verdict
Safe Website
Confidence: 92%
The site shows no malicious indicators, uses legitimate educational branding, and redirects to a related institutional domain.
Safety Factors
Details
Page Title
New Tab
Scan Type
public
Language
English
Category
documentation technical
(82%)Domain Information
Within the New Zealand country-code top-level domain (.ac.nz), 'www.telford.ac.nz' is registered and includes subdomain 'www'. Count 7 characters in 'telford' with 2 vowels and 5 consonants. Breaking it apart gives one word: telford. Expect 7 characters per word on average. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 117 | 202.50.90.26 | Invercargill, Southland, New Zealand | AS55747Southern Institute of Technology |
| 116 | 202.50.90.19 | Invercargill, Southland, New Zealand | AS55747Southern Institute of Technology |
| 233 | 2 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Scan history not available
Unable to load historical scan data