Summary
This website contacted 19 IPs in 2 countries across 6 domains to perform 25 HTTP transactions. The main domain is prenumerera.dn.se and was registered NaN years ago.
Submitted URL: https://prenumerera.dn.se/
The Cisco Umbrella rank of the primary domain is #286,858 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Prenumerera på Dagens Nyheter
Scan Type
public
Language
Swedish
Category
news media journalism
(43%)Domain Information
Domain 'prenumerera.dn.se' uses the Swedish country-code top-level domain (.se) with subdomain 'prenumerera'. The second-level label 'dn' is 2 characters long holding zero vowels versus 2 consonants. It segments into one word: dn. Average segment length settles at two 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 |
|---|---|---|---|
| 15 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 3.174.46.44 | United States | AS16509AMAZON-02 |
| 1 | 34.49.122.213 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 18.66.112.36 | United States | |
| 1 | 18.66.112.73 | United States | Unknown |
| 1 | 2a04:4e42:8e::347 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 2600:9000:28eb:9000:5:b7cc:d3c0:93a1 | United States | AS16509AMAZON-02 |
| 1 | 3.174.46.14 | United States | AS16509AMAZON-02 |
| 1 | 2600:9000:28eb:c200:5:b7cc:d3c0:93a1 | United States | AS16509AMAZON-02 |
| 1 | 2600:9000:28eb:9800:5:b7cc:d3c0:93a1 | United States | AS16509AMAZON-02 |
| 25 | 19 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data