Summary
API
Submitted URL: https://stunden.se
AI Security Verdict
Safe Website
Confidence: 88%
Self-branded Swedish scent-studio site on Squarespace with no forms, no impersonation and no threat-intel, YARA or verified malware signals; unknown domain age is a neutral factor here.
Safety Factors (4)
Details
Page Title
Stunden
Scan Type
public
Domain Name Analysis
The domain 'stunden.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. Count 7 characters in 'stunden' holding two vowels versus 5 consonants. It segments into 2 words: stun, den. Median word length is 3.5 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 | 198.49.23.145Squarespace · CLOUD | United States | AS53831Squarespace, Inc. |
| 5 | 198.185.159.144Squarespace · CLOUD | New York, New York, United States | AS53831Squarespace, Inc. |
| 5 | 184.24.77.165Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 146.75.120.237Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 5 | 34.160.236.44Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 5 | 146.75.120.238Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 5 | 104.18.38.142Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 184.24.77.169Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 198.49.23.144Squarespace · CLOUD | United States | AS53831Squarespace, Inc. |
| 5 | 184.24.77.166Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 90 | 16 | - | - |
Detected Technologies11
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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