Summary
API
Submitted URL: https://xn--vstersnytt-q5aq.se
AI Security Verdict
Low Risk
Confidence: 65%
Self-branded Swedish local news site with only a same-origin newsletter signup; no phishing, malware or brand impersonation signals. Final domain's age/reputation is unknown, so confidence is moderate.
Risk Factors (1)
Safety Factors (5)
Details
Page Title
VästeråsNytt - Lokala nyheter från Västerås kommun
Scan Type
public
Domain Name Analysis
The domain 'xn--vstersnytt-q5aq.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. Count 19 characters in 'xn--vstersnytt-q5aq' holding two vowels versus 13 consonants; bonus characters include 1 digit and three hyphens. Breaking it apart gives eight words: xn, v, ster, sny, tt, q, 5, aq. The median word length lands at 2 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 |
|---|---|---|---|
| 50 | 216.150.1.1Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 4 | 194.9.94.85 | Sweden | AS39570Loopia AB |
| 4 | 104.16.78.6Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 146.75.121.137Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 4 | 104.20.32.59Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 104.21.83.199Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 142.251.110.95Google · CDN | United States | AS15169Google LLC |
| 4 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 4 | 142.251.14.94Google · CDN | United States | AS15169Google LLC |
| 4 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 270 | 56 | - | - |
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
Unable to load historical scan data