Summary
API
Submitted URL: https://xn--mjlbynytt-17a.se
AI Security Verdict
Safe Website
Confidence: 85%
Local Swedish news site with self-branding, same-origin newsletter forms, no credential/payment collection, and no threat-intelligence or malware findings.
Safety Factors (5)
Details
Page Title
MjölbyNytt - Lokala nyheter från Mjölby kommun
Scan Type
public
Domain Name Analysis
Within the Swedish country-code top-level domain (.se), 'xn--mjlbynytt-17a.se' is registered while skipping any subdomain. The registrable portion 'xn--mjlbynytt-17a' spans 17 characters containing 1 vowel alongside 11 consonants, notching two digits and 3 hyphens. It segments into 8 words: xn, mj, l, by, ny, tt, 17, a. Median word length is two 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 | 216.150.1.1Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 5 | 194.9.94.85 | Sweden | AS39570Loopia AB |
| 5 | 146.75.121.137Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 5 | 172.66.161.195Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 104.21.83.199Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 5 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 5 | 142.251.110.94Google · CDN | United States | AS15169Google LLC |
| 5 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 5 | 46.202.159.216 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 315 | 63 | - | - |
Detected Technologies12
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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