Summary
This website contacted 13 IPs in 2 countries across 7 domains to perform 327 HTTP transactions. The main domain is winenews.it and was registered NaN years ago.
Submitted URL: https://winenews.it/en/pasqua-arrives-in-pantelleria-and-invests-in-the-wine-project-of-chanel-muse-carol-bouquet_570632/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Pasqua arrives in Pantelleria and invests in the wine project of Chanel “Muse”: Carol Bouquet - WineNews
Scan Type
public
Language
English
Category
entertainment media
(58%)Domain Information
Within the Italian country-code top-level domain (.it), 'winenews.it' is registered without a subdomain. The second-level label 'winenews' is 8 characters long with three vowels and 5 consonants. Splitting it apart reveals 2 words: wine, news. Median word length comes out to 4 characters. The linguistic tilt is Afrikaans for 'wie'. Usage also turns up in English and Chinese (Pinyin) contexts.
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 |
|---|---|---|---|
| 27 | 142.250.185.227 | United States | AS15169GOOGLE |
| 25 | 172.67.72.86 | United States | AS13335CLOUDFLARENET |
| 25 | 104.26.0.237 | United States | AS13335CLOUDFLARENET |
| 25 | 172.217.18.8 | United States | AS15169GOOGLE |
| 25 | 52.19.198.133 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 25 | 104.26.1.237 | United States | AS13335CLOUDFLARENET |
| 25 | 142.250.185.234 | United States | AS15169GOOGLE |
| 25 | 2606:4700:20::681a:1ed | Unknown | Unknown |
| 25 | 2606:4700:20::681a:ed | Unknown | Unknown |
| 25 | 2a00:1450:4001:811::200a | Unknown | Unknown |
| 327 | 13 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
Scan History
Scan history not available
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