Security Scan Report: www.safetravel.govt.nz

Submitted: Nov 20, 2025, 3:17:55 PMCompleted: Nov 20, 2025, 3:20:31 PMpubliccompleted
Loading additional data...

Summary

This website contacted 32 IPs in 3 countries across 11 domains to perform 32 HTTP transactions. The main domain is safetravel.govt.nz.

Submitted URL: https://www.safetravel.govt.nz/destinations/new-caledonia

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Domain uses official government TLD (.govt.nz)
No malicious Indicators of Compromise detected
No credential or payment collection forms present
Page content aligns with official travel advisory purpose
Domain age information unavailable

Details

Page Title

New Caledonia

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

government public service

(74%)

Domain Information

The domain name 'www.safetravel.govt.nz' uses the New Zealand country-code top-level domain (.govt.nz) and includes subdomain 'www'. Count 10 characters in 'safetravel' containing four vowels alongside 6 consonants. Tokenizing the label suggests two words: safe, travel. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.safetravel.govt.nz/destinations/new-caledonia

Page Load Overview

2.25s
Total Load Time
32
HTTP Requests
11
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:8,585 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
74%
adult content
70%
news media journalism
70%
social media network
64%
blog personal website
61%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14162.159.140.121United States
AS13335CLOUDFLARENET
357.144.244.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2142.250.185.131United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
2216.58.206.74United States
AS15169GOOGLE
257.144.244.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
220.213.196.211Sydney, New South Wales, Australia
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2142.250.185.136United States
AS15169GOOGLE
113.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
165.8.131.26United States
AS16509AMAZON-02
3232--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D732B5092B00677191BA0D1A9BDEF0ED56B8217CAAB5AC17DFE02485FC6F850F6338D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:xQXuB6IxRyYqpJdiDXxFdGh4oFBkaspqGGlgrmEhT:2+B6SmtLD8awPaEp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74551:7gQIEJGRLQIAMkHZ87AIYDo2EBAAkwAYjUmAIICOEALx9AIChEP040mSJoYowChhEoCYwN2QFtwDECCyA1kEgGACsOdgEMDU

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:0000fff1d1fbffff
Perceptual Hash:ed14126d6d969399
Difference Hash:94d4232323237c03
Wavelet Hash:0000ff8181d1ffff
Color Hash:#2d59d2

Scan History

Scan history not available

Unable to load historical scan data