Security Scan Report: www.twor.ac.nz

Redirected to:
https://www.wananga.com/
Site favicon
Submitted: Jun 18, 2026, 7:51:20 AMCompleted: Jun 18, 2026, 7:53:00 AMpubliccompleted
Loading additional data...

Summary

This website contacted 11 IPs in 2 countries across 11 domains to perform 2 HTTP transactions. The main domain is wananga.com and was registered NaN years ago.

Submitted URL: http://www.twor.ac.nz

Effective URL: https://www.wananga.com/Redirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Low‑risk site that mimics the Te Wānanga o Raukawa brand but shows no credential harvesting or malware.

Risk Factors
Brand impersonation (different entity's brand on a non‑official domain)
Unranked domain (not in Cisco Umbrella top 1 M)
Safety Factors
Very old domain age (over 19 years)
No forms collecting credentials or payments
No malicious network or JavaScript behavior detected
Domain age information unavailable

Details

Page Title

Te Wānanga o Raukawa

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(88%)

Domain Information

You're looking at domain 'www.twor.ac.nz' on the New Zealand country-code top-level domain (.ac.nz); it also runs on subdomain 'www'. Its registrable label 'twor' stretches across 4 characters split between one vowel and three consonants. Splitting it apart reveals 2 words: two, r. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.twor.ac.nz

Page Load Overview

8.15s
Total Load Time
212
HTTP Requests
34
Domains
9.1 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:4,545 chars
Detector Agreement:80%

Website Classification

Primary Category

education learning88% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
88%
government public service
52%
healthcare medical
36%
documentation technical
26%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22142.251.127.97United States
AS15169Google LLC
19188.114.96.3United States
AS13335Cloudflare, Inc.
19108.138.7.63United States
AS16509Amazon.com, Inc.
1918.245.86.22United States
AS16509Amazon.com, Inc.
1954.192.35.67United States
AS16509Amazon.com, Inc.
1976.223.58.8United States
AS16509Amazon.com, Inc.
19210.55.30.93Christchurch, Canterbury, New Zealand
AS56030Voyager Internet Ltd.
19142.250.154.190United States
AS15169Google LLC
193.167.227.110United States
AS16509Amazon.com, Inc.
19143.204.181.90United States
AS16509Amazon.com, Inc.
21211--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15EC46052E2C91877604F439BA1255E5D729FB18EF7D10380A7BEC3E03686FA12ED29D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Q+JyPwwk197M7fcAtlzJL+bSDQT6BXeEwGF6B2XkrbLSiIHHvHeFHRze1jLD+vX9:QDi7M7fjT6B2XkrboHvHmRcgzhl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:549439:gAAFJAAAAAIUAAIAYAAAECSwBABAgAEBABAADAUggqAgQECQABEVJAAMAAQAYQDAAAAMIAAwICAVCEgAgAAEIAIEAAABICD4

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:00f1c1f1fbdfdfff
Perceptual Hash:ec6b1712573a3037
Difference Hash:2303130333363736
Wavelet Hash:00f1c1f1f1838fcf
Color Hash:#78743a

Scan History

Scan history not available

Unable to load historical scan data