Security Scan Report: www.kapiticoast.govt.nz

Submitted: Oct 17, 2025, 8:34:25 AMCompleted: Oct 17, 2025, 8:37:46 AMpubliccompleted
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Summary

This website contacted 119 IPs in 3 countries across 31 domains to perform 164 HTTP transactions. The main domain is kapiticoast.govt.nz.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate council website with no security concerns.

Safety Factors
Domain is a government (.govt.nz) address
Content matches the official council branding
Standard informational website with no credential harvesting
Domain age information unavailable

Details

Page Title

Kāpiti Coast District Council

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain name 'www.kapiticoast.govt.nz' uses the New Zealand country-code top-level domain (.govt.nz) and includes subdomain 'www'. Its registrable label 'kapiticoast' stretches across 11 characters containing five vowels alongside 6 consonants. Breaking it apart gives 4 words: kap, it, i, coast. Average segment length settles at 2.5 characters. Most frequently, 'karp' shows up in English. Usage also turns up in Chinese (Pinyin) and Bosnian contexts. Overall, 'www.kapiticoast.govt.nz' reads as English.

Screenshot

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

Page Load Overview

8.63s
Total Load Time
164
HTTP Requests
31
Domains
5.4 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-nz
Text Length:11,933 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
other
29%
forum
20%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
89172.66.175.188United States
AS13335CLOUDFLARENET
4654.74.248.217Dublin, Leinster, Ireland
AS16509AMAZON-02
8142.250.185.195United States
AS15169GOOGLE
6138.199.37.231Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
5104.16.175.226United States
AS13335CLOUDFLARENET
4142.250.185.136United States
AS15169GOOGLE
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4216.239.34.36United States
AS15169GOOGLE
499.84.152.48United States
AS16509AMAZON-02
3151.101.2.137San Francisco, California, United States
AS54113FASTLY
164119--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12FD3E63194E0103B426B85C4B2B1571F6A83E20BDE571A94B7AC4BD95FD7EE6CC2B24C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9Zxx00jUkRCVKzW0Bu/HnVodOCFka8sEnh0IQmD:300oVKzW0Bu/HnVo8Cg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:130309:ASfRBIBBaGcUZYqAMkQGpgRSMSITH3A0gAhkGNB6yiDLIAcAESgkhEhybQwUIYohQwKgHIEctQIOIgnAgdGKINoUZDUIAMgI

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:3c3820009fffe3ff
Perceptual Hash:cb4fcb9c1a639231
Difference Hash:e1f1d1d1b0380b0b
Wavelet Hash:1c3800001ffff3f7
Color Hash:#2d8646

Scan History

Scan history not available

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