Summary
API
Submitted URL: https://www.trip.com/events/rolex-shanghai-masters-2025-20241127/
The Cisco Umbrella rank of the primary domain is #22,972 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
The page appears legitimate with no phishing or scam indicators.
Safety Factors (4)
Details
Page Title
2025 shang hai lao li shi da shi sai ban jue sai ji jue sai | Juss Sports Venue Qizhong Tennis Center: Tickets, Dates & Itineraries | Trip.com
Scan Type
public
Domain Name Analysis
The domain 'www.trip.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion 'trip' spans 4 characters holding one vowel versus 3 consonants. It segments into 1 word: trip. Average segment length settles at four characters. 'trip' most often appears in English. Secondary signals appear in Chinese (Pinyin) and Tagalog.
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 |
|---|---|---|---|
| 59 | 23.45.103.237 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 184.24.77.4 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 23.36.162.209 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 92.123.104.53 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 142.250.184.196 | United States | AS15169GOOGLE |
| 2 | 95.101.54.129 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 2.23.227.215 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 92.123.104.54 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 77.88.21.119 | Russia | AS13238YANDEX LLC |
| 197 | 70 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
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