Summary
API
Submitted URL: https://xn--vlkommenpmiddag-0kbz.nu
AI Security Verdict
Safe Website
Confidence: 88%
Legitimate Swedish community-organization site about a shared-dinner concept; the punycode domain simply redirects to matglad.nu. No forms collecting data, no threat-intel, YARA or IDS hits.
Safety Factors (5)
Details
Page Title
Välkommen på middag | Matglad-familjen
Scan Type
public
Domain Name Analysis
Within the .nu country-code top-level domain, 'xn--vlkommenpmiddag-0kbz.nu' is registered while skipping any subdomain. The second-level label 'xn--vlkommenpmiddag-0kbz' is 24 characters long split between four vowels and 16 consonants; it also includes 1 digit and three hyphens. Tokenizing the label suggests 8 words: xn, vl, kommen, pmid, dag, 0, k, bz. 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 |
|---|---|---|---|
| 5 | 46.16.234.118 | Sweden | AS44136ODERLAND Webbhotell AB |
| 3 | 194.9.94.85 | Sweden | AS39570Loopia AB |
| 3 | 34.149.254.14Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 3 | 104.17.25.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 3 | 185.111.111.157 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 3 | 142.250.154.94Google · CDN | United States | AS15169Google LLC |
| 3 | 34.102.170.124Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 3 | 3.151.18.91Aws · CLOUD | Columbus, Ohio, United States | AS16509Amazon.com, Inc. |
| 3 | 35.190.14.188Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 53 | 17 | - | - |
Detected Technologies6
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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