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%
Legitimate council website with no security concerns.
Safety Factors
Details
Page Title
Kāpiti Coast District Council
Scan Type
public
Language
English
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

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 |
|---|---|---|---|
| 89 | 172.66.175.188 | United States | AS13335CLOUDFLARENET |
| 46 | 54.74.248.217 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 8 | 142.250.185.195 | United States | AS15169GOOGLE |
| 6 | 138.199.37.231 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 5 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 4 | 142.250.185.136 | United States | AS15169GOOGLE |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 99.84.152.48 | United States | AS16509AMAZON-02 |
| 3 | 151.101.2.137 | San Francisco, California, United States | AS54113FASTLY |
| 164 | 119 | - | - |
Detected Technologies14
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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