Summary
This website contacted 25 IPs in 7 countries across 25 domains to perform 270 HTTP transactions. The main domain is vankootentuinenbuitenleven.nl and was registered NaN years ago.
Submitted URL: https://vankootentuinenbuitenleven.nl
Effective URL: https://www.vankootentuinenbuitenleven.nl/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns
Safety Factors
Details
Page Title
Marktleider in Buitenverblijven - Van Kooten
Scan Type
public
Language
Dutch
Category
e-commerce
(40%)Domain Information
The domain 'vankootentuinenbuitenleven.nl' uses the Dutch country-code top-level domain (.nl) while skipping any subdomain. Count 26 characters in 'vankootentuinenbuitenleven' with 12 vowels and 14 consonants. Breaking it apart gives eight words: van, koo, tent, u, inen, buit, en, leven. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 23 | 2.23.245.35 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 15 | 150.171.27.10 | United States | AS8075Microsoft Corporation |
| 15 | 3.174.45.33 | Denmark | |
| 15 | 46.137.24.143 | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 15 | 185.111.111.156 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 15 | 146.75.120.84 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 15 | 3.174.46.112 | Germany | |
| 15 | 57.144.248.128 | Unknown | |
| 15 | 136.144.241.106 | Assendelft, North Holland, Netherlands | AS20857Signet B.V. |
| 15 | 18.245.86.116 | Unknown | |
| 383 | 25 | - | - |
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
Scan History
Scan history not available
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