Summary
This website contacted 11 IPs in 3 countries across 11 domains to perform 3 HTTP transactions. The main domain is utbildning.se and was registered NaN years ago.
Submitted URL: https://www.utbildning.se/kurs/vard-omsorg
AI Security Verdict
Safe Website
Confidence: 94%
The site appears legitimate, with no malicious indicators and an established domain.
Safety Factors
Details
Page Title
Vårdutbildning - kurser inom vård och omsorg
Scan Type
public
Language
Swedish
Category
healthcare medical
(87%)Domain Information
Domain 'www.utbildning.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. Count 10 characters in 'utbildning' split between 3 vowels and 7 consonants. Word splitting yields three words: ut, bild, ning. The median word length lands at four 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 |
|---|---|---|---|
| 8 | 3.161.82.124Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 6 | 104.17.24.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 6 | 146.75.121.137Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 6 | 167.71.66.141 | Amsterdam, North Holland, Netherlands | AS14061DigitalOcean, LLC |
| 6 | 37.19.194.81 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 6 | 143.204.181.38Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 6 | 104.18.40.68Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 6 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 6 | 142.251.13.97Google · CDN | United States | AS15169Google LLC |
| 6 | 18.66.102.31Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 68 | 11 | - | - |
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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