Summary
API
Submitted URL: https://xn--sjfolket-o4a.se
AI Security Verdict
Safe Website
Confidence: 80%
A Swedish fish shop and restaurant site with real addresses, phone numbers and opening hours. No forms, no brand impersonation of another entity, and no threat-intelligence, YARA or IDS hits. The capture moved from an IDN host to the business's own sjofolket.se domain, which is ordinary. Legitimate.
Safety Factors (5)
Details
Page Title
Fiskbutik & Restaurang - Sjöfolket
Scan Type
public
Domain Name Analysis
The domain 'xn--sjfolket-o4a.se' uses the Swedish country-code top-level domain (.se). The core label 'xn--sjfolket-o4a' covers 16 characters containing 4 vowels alongside eight consonants; it also includes one digit and 3 hyphens. Splitting it apart reveals 7 words: xn, sj, folk, et, o, 4, a. Median word length comes out to 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 |
|---|---|---|---|
| 7 | 141.193.213.10Cloudflare · CDN | United States | AS209242Cloudflare London, LLC |
| 7 | 194.9.94.86 | Sweden | AS39570Loopia AB |
| 7 | 23.36.162.221Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 7 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 7 | 76.76.21.61Aws · CLOUD | Walnut, California, United States | AS16509Amazon.com, Inc. |
| 7 | 2.16.168.100Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 104.18.1.22Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 7 | 23.45.103.56Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 7 | 192.178.183.94Google · CDN | United States | AS15169Google LLC |
| 238 | 34 | - | - |
Detected Technologies24
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