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Security Scan Report: www.babolat.com

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Submitted: Oct 7, 2025, 10:02:18 AMCompleted: Oct 7, 2025, 10:03:45 AMpubliccompleted
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Summary

This website contacted 32 IPs in 3 countries across 13 domains to perform 84 HTTP transactions. The main domain is babolat.com.

Submitted URL: https://www.babolat.com/us/heroes-players-blog-giovanni-mpetshi/giovanni-mpetshi.html?srsltid=AfmBOoq8rDYYeYw7rgcRnWB7M45ejltQ4l17kNACpmf_0JXcNpobmnl3

The Cisco Umbrella rank of the primary domain is #937,052 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate Babolat site with no security concerns.

Safety Factors
Official brand domain
No suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Giovanni Mpetshi Perricard | Babolat Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(52%)

Domain Information

Domain 'www.babolat.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The registrable portion 'babolat' spans 7 characters split between three vowels and four consonants. Segmentation suggests one word: babolat. Most frequently, 'bambola' shows up in Italian. Overall, 'www.babolat.com' reads as Italian with single-word simplicity.

Screenshot

Security scan screenshot of https://www.babolat.com/us/heroes-players-blog-giovanni-mpetshi/giovanni-mpetshi.html?srsltid=AfmBOoq8rDYYeYw7rgcRnWB7M45ejltQ4l17kNACpmf_0JXcNpobmnl3

Page Load Overview

42.09s
Total Load Time
84
HTTP Requests
13
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:8,333 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
52%
entertainment media
37%
education learning
26%
news/blog
20%
forum
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22108.138.5.161United States
AS16509AMAZON-02
2216.58.206.40United States
AS15169GOOGLE
2216.58.206.66United States
AS15169GOOGLE
23.174.46.115United States
AS16509AMAZON-02
23.161.82.97United States
AS16509AMAZON-02
2172.66.144.196United States
AS13335CLOUDFLARENET
2104.18.87.42United States
AS13335CLOUDFLARENET
2172.64.151.42United States
AS13335CLOUDFLARENET
2104.18.36.214United States
AS13335CLOUDFLARENET
234.247.123.174Dublin, Leinster, Ireland
AS16509AMAZON-02
8432--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1B409E1167056A8449B43CEFF6DBE28605B90EDD92A05C0A5FF9B5862C3EC0FE1BD14

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wc7sXfPlSitU/6ZhlRRpMBLsoLlvYfxfaJdG7zkqWL2evhKpYsCXEdMpqmbUKlAz:v7u1KAuyto7kNSvmLmsfZLcYRVthAuy0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500297:QXhEiYdpGEHgISCuVEgkMUQoK8OAFkRBkPAUARNp6HACMEqCIAABgMgCqooGgxEgmkAalSCTJAL1jgMC4yKC2kFQFekBSjmI

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

Average Hash:00ff00080000feff
Perceptual Hash:d82ff62f19c02fc0
Difference Hash:6905b13033b1b494
Wavelet Hash:2dff00180810ffff
Color Hash:#93631f

Other Hashes

Crop Resistant:b080a1a9a9e2808a,6905b13033b1b494

Scan History

Scan history not available

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