Summary
API
Submitted URL: https://xn--vrldsvattendagen-vnb.se
AI Security Verdict
Safe Website
Confidence: 88%
Cross-domain redirect from a Världsvattendagen IDN host ends on the official Svenskt Vatten site; informative article, no forms, no threat-intel or malware signals — legitimate.
Safety Factors (4)
Details
Page Title
Fakta om vatten: utmaningar, kretslopp och hållbarhet | Svenskt Vatten
Scan Type
public
Domain Name Analysis
The domain name 'xn--vrldsvattendagen-vnb.se' uses the Swedish country-code top-level domain (.se). Count 24 characters in 'xn--vrldsvattendagen-vnb' containing four vowels alongside 17 consonants; it also includes 3 hyphens. Segmentation suggests 8 words: xn, v, rl, dsv, attend, agen, v, nb. Median word length is 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 |
|---|---|---|---|
| 9 | 172.64.151.173Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 194.9.94.85 | Sweden | AS39570Loopia AB |
| 2 | 23.2.13.59Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 79.136.117.14 | Stockholm, Stockholm County, Sweden | AS8473Bahnhof AB |
| 2 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 2 | 23.2.13.67Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 150.171.109.106Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 2 | 23.36.162.200Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 103.81.140.95 | Sweden | AS42695Cleura AB |
| 2 | 23.45.103.56Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 43 | 18 | - | - |
Detected Technologies8
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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