Summary
API
This website contacted 17 IPs in 4 countries across 11 domains to perform 59 HTTP transactions. The main domain is trumlektionerstockholm.se and was registered 18 years ago.
Submitted URL: https://trumlektionerstockholm.se
AI Security Verdict
Safe Website
Confidence: 85%
Legitimate music-lesson site with self-branding, no forms, no threat-intel matches, and no credential or payment collection. Unknown domain age is neutral.
Safety Factors (6)
Details
Page Title
trumlektionerstockholm.se
Scan Type
public
Domain Name Analysis
The domain name 'trumlektionerstockholm.se' uses the Swedish country-code top-level domain (.se). The registrable portion 'trumlektionerstockholm' spans 22 characters holding seven vowels versus 15 consonants. It segments into six words: t, rum, lek, tion, er, stockholm. Median word length is three characters. 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 |
|---|---|---|---|
| 11 | 195.47.247.18 | Denmark | AS51468One.com A/S |
| 3 | 192.121.104.141 | Sweden | AS1257Tele2 SWIPnet |
| 3 | 142.251.14.95Google · CDN | United States | AS15169Google LLC |
| 3 | 195.181.175.41Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 37.19.194.81Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 195.181.170.19Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 23.36.158.179Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 3 | 79.127.211.89Datacamp · CDN | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 142.250.154.94Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 59 | 17 | - | - |
Detected Technologies1
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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