Summary
This website contacted 81 IPs in 2 countries across 21 domains to perform 83 HTTP transactions. The main domain is atptourexperiences.com and was registered NaN years ago.
Submitted URL: https://atptourexperiences.com/shanghai-masters-2025/atp-house
AI Security Verdict
Moderate Risk
Confidence: 72%
Site shows brand impersonation on a new, unranked domain but lacks malicious indicators; proceed carefully.
Risk Factors
Safety Factors
Details
Page Title
Rolex Shanghai Masters 2025 | ATP House
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Within the commercial generic top-level domain (.com), 'atptourexperiences.com' is registered. The registrable portion 'atptourexperiences' spans 18 characters split between 8 vowels and 10 consonants. It segments into 3 words: atp, tour, experiences. Median word length is 4 characters. 'atp' most often appears in Chinese (Pinyin). Usage also turns up in Vietnamese and Malay 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 |
|---|---|---|---|
| 3 | 54.192.87.199 | United States | AS16509AMAZON-02 |
| 1 | 35.173.14.123 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 35.167.82.10 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 142.250.185.68 | United States | AS15169GOOGLE |
| 1 | 54.192.87.231 | United States | AS16509AMAZON-02 |
| 1 | 142.250.186.110 | United States | AS15169GOOGLE |
| 1 | 13.33.158.228 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 18.66.112.61 | United States | Unknown |
| 1 | 18.66.112.65 | United States | Unknown |
| 1 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 83 | 81 | - | - |
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
Scan History
Scan history not available
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