Summary
This website contacted 226 IPs in 10 countries across 112 domains to perform 504 HTTP transactions. The main domain is japantimes.co.jp.
Submitted URL: https://www.japantimes.co.jp/sports/2025/10/13/more-sports/thitikul-lpga-shanghai-win/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news article with no security concerns.
Safety Factors
Details
Page Title
www.japantimes.co.jp
Scan Type
public
Language
English
Category
social media network
(61%)Domain Information
Within the Japanese country-code top-level domain (.co.jp), 'www.japantimes.co.jp' is registered and includes subdomain 'www'. The registrable portion 'japantimes' spans 10 characters containing four vowels alongside 6 consonants. Tokenizing the label suggests 2 words: japan, times. Median word length is 5 characters. Most frequently, 'japan' shows up in English. You may catch it in Chinese (Pinyin) and Danish as well.
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 |
|---|---|---|---|
| 71 | 146.75.121.44 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 59 | 104.26.2.3 | United States | AS13335CLOUDFLARENET |
| 54 | 151.101.65.55 | San Francisco, California, United States | AS54113FASTLY |
| 30 | 141.226.228.48 | Netherlands | AS200478Taboola.com ltd |
| 23 | 172.67.74.221 | United States | AS13335CLOUDFLARENET |
| 15 | 172.217.18.2 | United States | AS15169GOOGLE |
| 13 | 104.16.144.111 | United States | AS13335CLOUDFLARENET |
| 12 | 142.250.186.110 | United States | AS15169GOOGLE |
| 10 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 10 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 504 | 226 | - | - |
Detected Technologies6
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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