Summary
This website contacted 40 IPs in 1 country across 12 domains to perform 36 HTTP transactions. The main domain is enjoystation.fr and was registered NaN years ago.
Submitted URL: https://www.enjoystation.fr/news/carole-bouquet-et-charlotte-casiraghi-un-nouveau-look-au-d-fil-chanel
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news article with no security concerns.
Safety Factors
Details
Page Title
Carole Bouquet et Charlotte Casiraghi : Un Nouveau Look au Défilé Chanel
Scan Type
public
Language
French
Category
entertainment media
(100%)Domain Information
The domain name 'www.enjoystation.fr' uses the French country-code top-level domain (.fr) and includes subdomain 'www'. The second-level label 'enjoystation' is 12 characters long split between five vowels and 7 consonants. Splitting it apart reveals two words: enjoy, station. The median word length lands at 6 characters. 'enjoy' most often appears in English. You may catch it in Tagalog and Chinese (Pinyin) as well.
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 |
|---|---|---|---|
| 36 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 0 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 0 | 104.16.80.73 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.184.234 | United States | AS15169GOOGLE |
| 0 | 216.58.206.46 | United States | AS15169GOOGLE |
| 0 | 142.250.184.227 | United States | AS15169GOOGLE |
| 0 | 216.58.212.136 | United States | AS15169GOOGLE |
| 0 | 142.250.185.226 | United States | AS15169GOOGLE |
| 0 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 36 | 40 | - | - |
Detected Technologies4
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data