Summary
This website contacted 22 IPs in 3 countries across 23 domains to perform 105 HTTP transactions. The main domain is bndestem.nl and was registered NaN years ago.
Submitted URL: https://www.bndestem.nl/video/productie/blikseminslag-laat-gapend-gat-achter-in-italiaanse-kerktoren-12791982
AI Security Verdict
Details
Page Title
Blikseminslag laat gapend gat achter in Italiaanse kerktoren
Scan Type
public
Language
Dutch
Category
adult content
(44%)Domain Information
You're looking at domain 'www.bndestem.nl' on the Dutch country-code top-level domain (.nl) with subdomain 'www'. The registrable portion 'bndestem' spans 8 characters containing 2 vowels alongside six consonants. Segmentation suggests three words: b, nde, stem. Expect 3 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 |
|---|---|---|---|
| 21 | 23.53.43.67 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 216.239.38.178 | United States | AS15169Google LLC |
| 4 | 23.50.131.132 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 23.50.131.149 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 34.250.9.157 | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 4 | 104.17.207.5 | United States | AS13335Cloudflare, Inc. |
| 4 | 23.53.43.65 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 23.53.43.82 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 23.48.23.27 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 23.50.131.155 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 22 | - | - |
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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