Summary
API
This website contacted 2 IPs in 2 countries across 10 domains to perform 38 HTTP transactions. The main domain is visitvasteras.se and was registered 17 years ago.
Submitted URL: https://visitvasteras.se/spela-golf/?utm_source=newsletter&utm_medium=email&utm_campaign=Tournytt_v34_2026&dt_id=fcd58f97-538d-4232-8bec-ce92f0c0cceb
AI Security Verdict
Safe Website
Confidence: 94%
The site is an established tourism page with no malicious indicators.
Safety Factors (4)
Details
Page Title
Sveriges golfdestination - Visit Västerås
Scan Type
public
Domain Name Analysis
The domain 'visitvasteras.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. Its registrable label 'visitvasteras' stretches across 13 characters with five vowels and eight consonants. Segmentation suggests three words: visit, vaster, as. Average segment length settles at five 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 |
|---|---|---|---|
| 19 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 19 | 84.216.5.187 | Eskilstuna, Södermanland County, Sweden | AS8434Telenor Sverige AB |
| 38 | 2 | - | - |
Detected Technologies9
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