Summary
This website contacted 63 IPs in 2 countries across 19 domains to perform 93 HTTP transactions. The main domain is ziggo.nl and was registered NaN years ago.
Submitted URL: https://www.ziggo.nl/entertainment/sport/tennis/european-open/van-de-zandschulp-spizzirri-16-10-2025
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Ziggo page with no security concerns.
Safety Factors
Details
Page Title
Botic van de Zandschulp vs Eliot Spizzirri live op 16 oktober 2025 | Ziggo Entertainment
Scan Type
public
Language
Dutch
Category
entertainment media
(96%)Domain Information
Domain 'www.ziggo.nl' uses the Dutch country-code top-level domain (.nl); it also runs on subdomain 'www'. Count 5 characters in 'ziggo' containing 2 vowels alongside three consonants. Segmentation suggests 2 words: zig, go. The median word length lands at 2.5 characters. 'zig' most strongly signals Chinese (Pinyin). You will also see it in English and Vietnamese 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 |
|---|---|---|---|
| 31 | 18.172.112.28 | United States | AS16509AMAZON-02 |
| 1 | 184.24.77.30 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 34.49.241.189 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 1 | 18.172.112.74 | United States | AS16509AMAZON-02 |
| 1 | 142.250.186.136 | United States | AS15169GOOGLE |
| 1 | 162.159.128.61 | United States | AS13335CLOUDFLARENET |
| 1 | 104.18.32.137 | United States | AS13335CLOUDFLARENET |
| 1 | 172.64.152.14 | United States | AS13335CLOUDFLARENET |
| 1 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 93 | 63 | - | - |
Detected Technologies7
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
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