Summary
This website contacted 15 IPs in 3 countries across 7 domains to perform 57 HTTP transactions. The main domain is twinkl.de.
Submitted URL: https://www.twinkl.com/event/national-first-responders-day-usa-2025
Effective URL: https://www.twinkl.de/event/national-first-responders-day-usa-2025Redirected
AI Security Verdict
Details
Bot Protection Detected
This website is protected by imperva bot protection. Our scanner was challenged or blocked during access.
Page Title
National First Responders Day 2025 | Event Information
Scan Type
public
Language
English
Category
forum
(40%)Domain Information
Within the commercial generic top-level domain (.com), 'www.twinkl.com' is registered; it also runs on subdomain 'www'. Its registrable label 'twinkl' stretches across 6 characters split between one vowel and five consonants. It segments into two words: twin, kl. Expect three characters per word on average. Most frequently, 'twin' shows up in Danish. You will also see it in Norwegian and Swedish contexts. Taken together, it feels Danish.
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 |
|---|---|---|---|
| 38 | 146.75.122.97 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 15 | 23.55.48.48 | Palermo, Sicily, Italy | AS20940Akamai International B.V. |
| 8 | 45.60.64.75 | United States | AS19551INCAPSULA |
| 5 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 3 | 23.55.48.17 | Palermo, Sicily, Italy | AS20940Akamai International B.V. |
| 3 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 3 | 2606:4700::6810:aee2 | United States | AS13335CLOUDFLARENET |
| 3 | 2602:816:5001::39 | United States | AS54113FASTLY |
| 3 | 2606:4700::6810:afe2 | United States | AS13335CLOUDFLARENET |
| 3 | ::ffff:162.247.243.29 | United States | AS54113FASTLY |
| 57 | 15 | - | - |
Detected Technologies9
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
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