Security Scan Report: www.gw.govt.nz

Submitted: Oct 8, 2025, 8:31:56 PMCompleted: Oct 8, 2025, 8:32:57 PMpubliccompleted
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Summary

This website contacted 37 IPs in 2 countries across 14 domains to perform 72 HTTP transactions. The main domain is gw.govt.nz.

Submitted URL: https://www.gw.govt.nz/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate government site with no security concerns.

Safety Factors
Official government domain (gw.govt.nz)
Absence of credential‑harvesting or payment forms
No suspicious redirects beyond normal site navigation
External newsletter link points to a reputable mailing service (Mailchimp)
Domain age information unavailable

Details

Page Title

Greater Wellington — Te Pane Matua Taiao

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Within the New Zealand country-code top-level domain (.govt.nz), 'www.gw.govt.nz' is registered with subdomain 'www'. The core label 'gw' covers 2 characters holding zero vowels versus 2 consonants. Segmentation suggests one word: gw. Median word length comes out to 2 characters. 'gw' most strongly signals Indonesian. You will also see it in Sinhala and Malay contexts. Net impression: Indonesian phrase with single-word simplicity.

Screenshot

Security scan screenshot of https://www.gw.govt.nz/

Page Load Overview

18.87s
Total Load Time
72
HTTP Requests
14
Domains
1.9 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-US
Text Length:5,235 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
education learning
43%
news/blog
35%
government public service
27%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36142.250.186.99United States
AS15169GOOGLE
152.64.149.166Sydney, New South Wales, Australia
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
1142.250.74.202United States
AS15169GOOGLE
1142.250.185.162United States
AS15169GOOGLE
118.245.86.68United States
AS16509AMAZON-02
1142.250.186.142United States
AS15169GOOGLE
164.233.184.155United States
AS15169GOOGLE
1142.250.185.234United States
AS15169GOOGLE
113.54.222.54Sydney, New South Wales, Australia
AS16509AMAZON-02
7237--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6B32F6195F029370292E1E5B6B46E74ED91810BD58C1904BDAC0B8D4FF7E33AF6B21E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xbxElML3Ru5yBPvnTAiao7RgZwoXOImkxRQyc3bEPwh+hA80X:1xElML3RRv8dXcyc3Y4hR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:107512:GIkBx6gsIIwkQoGEBtTAIJglfaDK9RjACyKABtmAYExHFUnAAHBYSQiQSAgqkoAaCwULxBSEUDASA85RWUeYa4CCAkmogcUZ

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:ff8181d1f3c3fffb
Perceptual Hash:ed399392c4c66c96
Difference Hash:1c1b2b2727175623
Wavelet Hash:df8181818383fff1
Color Hash:#9387c5

Scan History

Scan history not available

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