Summary
API
Submitted URL: https://www.nzherald.co.nz/entertainment/louis-tomlinson-calls-liam-paynes-death-unjust-and-frustrating/2KGQFZKEYZBIZCK6YTRLCUXZAA/
The Cisco Umbrella rank of the primary domain is #228,388 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors (3)
Details
Page Title
Louis Tomlinson calls Liam Payne’s death ‘unjust and frustrating’ - NZ Herald
Scan Type
public
Domain Name Analysis
The domain 'www.nzherald.co.nz' uses the New Zealand country-code top-level domain (.co.nz) and includes subdomain 'www'. The registrable portion 'nzherald' spans 8 characters with 2 vowels and 6 consonants. Segmentation suggests 2 words: nz, herald. Median word length is four characters. 'herald' is most common in Sinhala usage. You will also see it in Vietnamese and Chinese (Zhuyin) contexts.
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 |
|---|---|---|---|
| 42 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 172.67.71.49 | United States | AS13335CLOUDFLARENET |
| 1 | 23.35.232.134 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 46.228.174.115 | United Kingdom | AS56396Nexxen Group Ltd |
| 1 | 23.52.180.230 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 13.32.99.122 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 2.16.168.109 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 216.58.206.72 | United States | AS15169GOOGLE |
| 1 | 34.8.171.201 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 13.226.244.44 | United States | AS16509AMAZON-02 |
| 207 | 166 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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