Summary
API
Submitted URL: https://xn--17globalamlen-yfb.se
AI Security Verdict
Safe Website
Confidence: 74%
Self-branded sustainable-goods site (KLS PurePrint) with no forms, no impersonation and no threat-intel, YARA or IDS hits; shows a soft-404 page. No malicious signals found.
Safety Factors (4)
Details
Page Title
17 Verdensmål | Lækre produkter med de 17 verdensmål
Scan Type
public
Domain Name Analysis
Within the Swedish country-code top-level domain (.se), 'xn--17globalamlen-yfb.se' is registered and has no subdomain. The core label 'xn--17globalamlen-yfb' covers 21 characters containing four vowels alongside twelve consonants, along with two digits and 3 hyphens. It segments into seven words: xn, 17, global, am, len, y, fb. Median word length comes out to 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 |
|---|---|---|---|
| 12 | 46.30.124.167 | Herning, Central Jutland, Denmark | AS47527DLX A/S |
| 6 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 6 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 6 | 2.23.7.33Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 142.251.110.94Google · CDN | United States | AS15169Google LLC |
| 6 | 23.45.103.56Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 6 | 216.239.34.36Google · CDN | United States | AS15169Google LLC |
| 6 | 23.36.162.211Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 23.36.162.220Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 78 | 12 | - | - |
Detected Technologies22
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
Unable to load historical scan data