Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 47 HTTP transactions. The main domain is namndenmotdiskriminering.se and was registered NaN years ago.
Submitted URL: https://www.namndenmotdiskriminering.se
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Nämnden mot diskriminering
Scan Type
public
Language
Swedish
Category
government public service
(25%)Domain Information
Domain 'www.namndenmotdiskriminering.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'www'. The core label 'namndenmotdiskriminering' covers 24 characters containing eight vowels alongside 16 consonants. Word splitting yields 7 words: nam, nden, mot, disk, ri, mine, ring. 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 |
|---|---|---|---|
| 15 | 195.47.247.17 | Denmark | AS51468One.com A/S |
| 13 | 46.30.213.155 | Copenhagen, Capital Region, Denmark | AS51468One.com A/S |
| 13 | 104.18.15.11 | United States | AS13335CLOUDFLARENET |
| 41 | 3 | - | - |
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
Unable to load historical scan data