Security Scan Report: www.kapiticoast.govt.nz

Submitted: May 24, 2026, 1:53:05 PMCompleted: May 24, 2026, 1:56:12 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 12 domains to perform 59 HTTP transactions. The main domain is kapiticoast.govt.nz.

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Kāpiti Coast District Council

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(97%)

Domain Information

Domain 'www.kapiticoast.govt.nz' uses the New Zealand country-code top-level domain (.govt.nz); it also runs on subdomain 'www'. Its registrable label 'kapiticoast' stretches across 11 characters holding five vowels versus six consonants. Breaking it apart gives four words: kap, it, i, coast. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

N/A
Total Load Time
59
HTTP Requests
0
Domains
N/A
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:6,072 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
97%
government public service
87%
documentation technical
81%
healthcare medical
51%
government
48%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15104.17.208.5United States
AS13335Cloudflare, Inc.
4151.101.194.137United States
AS54113Fastly, Inc.
4142.251.20.94United States
AS15169Google LLC
452.203.189.23Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
465.8.131.120United States
AS16509Amazon.com, Inc.
4104.20.21.25United States
AS13335Cloudflare, Inc.
418.245.86.68United States
AS16509Amazon.com, Inc.
4142.251.13.95United States
AS15169Google LLC
499.84.152.48United States
AS16509Amazon.com, Inc.
012--

Detected Technologies3

JQueryv3.6.1
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T120533D21A4F0143B11A791C4AAB1571FAF83E703EA4B5AD4B6AD4BC94FD3ED6CC23509

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:26g4ZxeCoWAGkquaie+OOQzeXkvHjWp4vbQV0Be55nMxREqmW4VNEWJh0Imlm5mE:Lg4ZxGWjQV0qhMxREqn4VNEah0IQmB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63534:AIAMBcBBLAtpgEJUGzAKQAoVQXBdAcZgaNDACE8AECJqDVFJEAg5gSUIFmg+UMLN4MGoQgQCQAEAWQgGo1EWkhKEyJZwFAAW

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:003030007effffff
Perceptual Hash:cd4fb2b23232ba32
Difference Hash:d1f3d3e3f0302030
Wavelet Hash:003000007effffff
Color Hash:#74862d

Scan History

Scan history not available

Unable to load historical scan data