Summary
This website contacted 149 IPs in 6 countries across 46 domains to perform 142 HTTP transactions. The main domain is aigwomensopen.com and was registered NaN years ago.
Submitted URL: https://www.aigwomensopen.com/players/jeeno-thitikul
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns detected.
Safety Factors
Details
Page Title
Jeeno Thitikul | Player Profile | AIG Women's Open
Scan Type
public
Language
English
Category
adult content
(40%)Domain Information
You're looking at domain 'www.aigwomensopen.com' on the commercial generic top-level domain (.com), featuring subdomain 'www'. The second-level label 'aigwomensopen' is 13 characters long containing 6 vowels alongside 7 consonants. Word splitting yields 3 words: aig, womens, open. Expect four characters per word on average. Most frequently, 'vaig' shows up in Catalan. You may catch it in Vietnamese and Malay as well. Net impression: Catalan phrase.
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 |
|---|---|---|---|
| 142 | 142.250.185.200 | United States | AS15169GOOGLE |
| 0 | 74.125.206.156 | United States | AS15169GOOGLE |
| 0 | 34.117.162.98 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 0 | 146.75.121.140 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 0 | 2.18.236.132 | Dublin, Leinster, Ireland | AS16625AKAMAI-AS |
| 0 | 104.20.44.120 | United States | AS13335CLOUDFLARENET |
| 0 | 69.192.160.133 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 0 | 54.154.249.178 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 0 | 185.89.210.46 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 0 | 142.250.184.230 | United States | AS15169GOOGLE |
| 142 | 149 | - | - |
Detected Technologies14
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
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