Summary
This website contacted 19 IPs in 3 countries across 11 domains to perform 2 HTTP transactions. The main domain is weekend.at and was registered 18 years ago.
Submitted URL: https://www.weekend.at/promitalk/lucia-sisic-miss-austria-tot
AI Security Verdict
Safe Website
Confidence: 85%
The page is a legitimate news article with no malicious indicators.
Safety Factors
Details
Page Title
Miss Austria Lucia Sisic ist tot: Österreich trauert | weekend.at
Scan Type
public
Language
German
Category
news/blog
(40%)Domain Information
Within the Austrian country-code top-level domain (.at), 'www.weekend.at' is registered with subdomain 'www'. The registrable portion 'weekend' spans 7 characters containing three vowels alongside four consonants. Word splitting yields one word: weekend. 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 |
|---|---|---|---|
| 10 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 151.101.130.216Fastly · CDN | United States | AS54113Fastly, Inc. |
| 2 | 217.79.188.60 | Germany | AS24961WIIT AG |
| 2 | 104.26.11.188Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 142.251.14.94Google · CDN | United States | AS15169Google LLC |
| 2 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 2 | 151.101.2.216Fastly · CDN | United States | AS54113Fastly, Inc. |
| 2 | 3.5.121.64Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 2 | 151.101.129.229Fastly · CDN | United States | AS54113Fastly, Inc. |
| 2 | 3.5.137.100Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 46 | 19 | - | - |
Page Statistics
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
Unable to load historical scan data