Summary
This website contacted 114 IPs in 2 countries across 29 domains to perform 192 HTTP transactions. The main domain is thestatszone.com and was registered NaN years ago.
Submitted URL: https://www.thestatszone.com/sofia-kenin-vs-liudmila-samsonova-preview-prediction-2025-wta-wuhan-open-second-round-151680
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate sports preview site with no security concerns.
Safety Factors
Details
Page Title
Sofia Kenin vs Liudmila Samsonova Preview & Prediction | 2025 WTA Wuhan Open | Second Round - The Stats Zone
Scan Type
public
Language
English
Category
gambling betting
(65%)Domain Information
Within the commercial generic top-level domain (.com), 'www.thestatszone.com' is registered with subdomain 'www'. Count 12 characters in 'thestatszone' with 4 vowels and eight consonants. It segments into three words: the, stats, zone. Median word length comes out to four characters. The linguistic tilt is English for 'the'. Usage also turns up in Chinese (Pinyin) and Chinese (Zhuyin) contexts.
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 |
|---|---|---|---|
| 79 | 3.212.45.11 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 142.250.185.106 | United States | AS15169GOOGLE |
| 1 | 172.217.18.2 | United States | AS15169GOOGLE |
| 1 | 130.211.23.194 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 54.165.73.223 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 3.229.197.182 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 99.86.4.30 | United States | AS16509AMAZON-02 |
| 1 | 162.19.138.120 | Frankfurt am Main, Hesse, Germany | AS16276OVH SAS |
| 1 | 172.66.171.133 | United States | AS13335CLOUDFLARENET |
| 1 | 172.66.166.119 | United States | AS13335CLOUDFLARENET |
| 192 | 114 | - | - |
Detected Technologies4
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
Unable to load historical scan data