Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is lejournaldesarts.fr and was registered NaN years ago.
Submitted URL: https://www.lejournaldesarts.fr
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no malicious indicators.
Safety Factors
Details
Page Title
LeJournaldesArts.fr - 1er site quotidien sur l'actualité du monde de l'art et son marché
Scan Type
public
Language
French
Category
unknown
(0%)Domain Information
The domain name 'www.lejournaldesarts.fr' uses the French country-code top-level domain (.fr), featuring subdomain 'www'. Count 16 characters in 'lejournaldesarts' containing six vowels alongside ten consonants. Splitting it apart reveals 4 words: le, journal, des, arts. The median word length lands at 3.5 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 |
|---|---|---|---|
| 36 | 185.21.152.244 | France | AS13273Alter Way SAS |
| 34 | 138.68.86.171 | Frankfurt am Main, Hesse, Germany | AS14061DigitalOcean, LLC |
| 34 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 104 | 3 | - | - |
Detected Technologies5
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