Summary
This website contacted 57 IPs in 4 countries across 17 domains to perform 139 HTTP transactions. The main domain is rolandgarros.com and was registered NaN years ago.
Submitted URL: https://www.rolandgarros.com/en-us/players/44112-g.mpetshiperricard
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate Roland‑Garros player profile with no security concerns.
Safety Factors
Details
Page Title
Player card - Giovanni MPETSHI PERRICARD - Roland-Garros 2025 - The official site
Scan Type
public
Language
English
Category
technology software
(66%)Domain Information
Domain 'www.rolandgarros.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Its registrable label 'rolandgarros' stretches across 12 characters split between four vowels and 8 consonants. It segments into two words: roland, garros. Median word length comes out to 6 characters. 'roland' most strongly signals Catalan. Secondary signals appear in Basque and Portuguese. Overall, 'www.rolandgarros.com' reads as Catalan.
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 | 146.75.122.208 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 3.171.214.129 | United States | AS16509AMAZON-02 |
| 2 | 35.181.184.28 | Paris, Île-de-France, France | AS16509AMAZON-02 |
| 2 | 142.250.74.202 | United States | AS15169GOOGLE |
| 2 | 13.32.99.5 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 2 | 13.32.99.12 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 18.66.107.157 | United States | Unknown |
| 2 | 3.171.214.35 | United States | AS16509AMAZON-02 |
| 2 | 172.217.16.194 | United States | AS15169GOOGLE |
| 139 | 57 | - | - |
Detected Technologies8
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
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