Summary
This website contacted 15 IPs in 2 countries across 10 domains to perform 89 HTTP transactions. The main domain is dn.se and was registered NaN years ago.
Submitted URL: https://www.dn.se/ledare/max-hjelm-sanna-marin-menar-att-hon-ar-for-sexig-men-kritiken-handlar-om-nagot-annat/
The Cisco Umbrella rank of the primary domain is #286,858 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news site with no security concerns.
Safety Factors
Details
Page Title
Max Hjelm: Sanna Marin menar att hon är ”för sexig” - DN.se
Scan Type
public
Language
Swedish
Category
news media journalism
(36%)Domain Information
The domain 'www.dn.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. The core label 'dn' covers 2 characters containing zero vowels alongside two consonants. Segmentation suggests 1 word: dn. Expect two 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 |
|---|---|---|---|
| 77 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 5 | 18.66.112.36 | United States | |
| 5 | 18.66.112.13 | United States | Unknown |
| 5 | 18.66.112.73 | United States | Unknown |
| 5 | 2606:4700::6810:afe2 | United States | AS13335CLOUDFLARENET |
| 5 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 5 | 2606:4700::6810:aee2 | United States | AS13335CLOUDFLARENET |
| 5 | 2a00:1450:4001:80b::2002 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 18.66.112.14 | United States | Unknown |
| 5 | 2a04:4e42:8e::347 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 89 | 15 | - | - |
Detected Technologies3
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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