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Security Scan Report: fr.besoccer.com

Submitted: Oct 28, 2025, 6:41:56 AMCompleted: Oct 28, 2025, 6:45:05 AMpubliccompleted
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Summary

This website contacted 138 IPs in 5 countries across 31 domains to perform 370 HTTP transactions. The main domain is fr.besoccer.com and was registered NaN years ago.

Submitted URL: https://fr.besoccer.com/match/los-angeles-football-club/toronto-fc/2025235857

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
No malicious Indicators of Compromise
No phishing or credential‑harvesting indicators
Domain age information unavailable

Details

Page Title

Statistiques Los Angeles FC vs Toronto FC - MLS 2025

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain 'fr.besoccer.com' uses the commercial generic top-level domain (.com) with subdomain 'fr'. The second-level label 'besoccer' is 8 characters long containing three vowels alongside five consonants. Tokenizing the label suggests two words: be, soccer. Median word length is four characters. Most frequently, 'be' shows up in Chinese (Pinyin). It also appears in English and Chinese (Zhuyin) contexts. Net impression: Chinese (Pinyin) phrase.

Screenshot

Security scan screenshot of https://fr.besoccer.com/match/los-angeles-football-club/toronto-fc/2025235857

Page Load Overview

4.22s
Total Load Time
370
HTTP Requests
31
Domains
2.7 MB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:7,714 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
social_media
50%
news/blog
40%

Detected Features

Login Form
Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
222146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
9635.157.175.5Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
143.160.150.40United States
AS16509AMAZON-02
7157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
6104.16.174.226United States
AS13335CLOUDFLARENET
5157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
566.102.1.84United States
AS15169GOOGLE
4216.58.212.136United States
AS15169GOOGLE
4142.250.184.206United States
AS15169GOOGLE
3142.250.185.98United States
AS15169GOOGLE
370138--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117544FB254F5103701ABA1D1AA61AF1FBED2E643E95A4B50B6FC0F916FC3D869C0712C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:wHLgm/KGBZEXw7kQKsgKtALnvfhvyQxsSd+LjhBR0:MLgm/KGUgYOgKtALnxvyQxsSdm0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:290915:xiAKyQmEgGClJLeAwU6QBrCWAzACIhElRQQMVsBwtGAAGSBQIAQwS7BAQCYSAXLViCBNAE3SAY5RFLIRISHISkh+AAPdAA1h

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:0000000000ffffff
Perceptual Hash:803fc0b76e91c43f
Difference Hash:5d8d0d2723868ea0
Wavelet Hash:0101818181ffffff
Color Hash:#ac5365

Other Hashes

Crop Resistant:b3b3b3b3b3b4b4b3,8e8db1cc9cd085a5,548c0e2723a68ea0

Scan History

Scan history not available

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