Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is pathehome.com and was registered NaN years ago.
Submitted URL: https://www.pathehome.com/fr/fr/person/php-ZWPVB741WQ/natalia-dontcheva
AI Security Verdict
Safe Website
Confidence: 95%
The site shows its own brand, has no forms or malicious indicators, and is well‑established; it is classified as legitimate.
Safety Factors
Details
Page Title
Natalia Dontcheva - Pathé Home
Scan Type
public
Language
French
Category
entertainment media
(89%)Domain Information
The domain 'www.pathehome.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The registrable portion 'pathehome' spans 9 characters containing four vowels alongside 5 consonants. Tokenizing the label suggests 3 words: pa, the, home. Median word length is 3 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 |
|---|---|---|---|
| 42 | 146.75.122.208Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 42 | 23.36.162.213 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 84 | 2 | - | - |
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
Unable to load historical scan data