Summary
This website contacted 104 IPs in 5 countries across 20 domains to perform 159 HTTP transactions. The main domain is 1news.co.nz.
Submitted URL: https://www.1news.co.nz/2025/10/27/two-suspects-arrested-over-jewel-theft-from-paris-louvre-museum/
AI Security Verdict
Safe Website
Confidence: 95%
The page appears to be a legitimate news article with no security concerns.
Safety Factors
Details
Page Title
Two suspects arrested over jewel theft from Paris' Louvre museum
Scan Type
public
Language
English
Category
malicious
(80%)Domain Information
The domain 'www.1news.co.nz' uses the New Zealand country-code top-level domain (.co.nz), featuring subdomain 'www'. The core label '1news' covers 5 characters split between 1 vowel and 3 consonants, plus one digit. Splitting it apart reveals 2 words: 1, news. Median word length comes out to 2.5 characters. 'news' is most common in English usage. It also appears in Chinese (Pinyin) and Sinhala contexts. Net impression: English phrase with character flair.
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 |
|---|---|---|---|
| 56 | 216.58.206.66 | United States | AS15169GOOGLE |
| 1 | 34.248.72.188 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 23.53.40.74 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 13.32.121.34 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 184.24.77.20 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.18 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 188.125.72.139 | Dublin, Leinster, Ireland | AS34010Yahoo-UK Limited |
| 1 | 172.217.18.8 | United States | AS15169GOOGLE |
| 1 | 142.250.186.130 | United States | AS15169GOOGLE |
| 159 | 104 | - | - |
Detected Technologies4
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
Unable to load historical scan data