Summary
This website contacted 32 IPs in 3 countries across 6 domains to perform 359 HTTP transactions. The main domain is daviscup.com and was registered NaN years ago.
Submitted URL: https://www.daviscup.com/en/players/player.aspx?id=800329359
Effective URL: https://www.daviscup.com/en/playersRedirected
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Players - Davis Cup - The World Cup of Tennis
Scan Type
public
Language
English
Category
social media network
(88%)Domain Information
Within the commercial generic top-level domain (.com), 'www.daviscup.com' is registered with subdomain 'www'. The registrable portion 'daviscup' spans 8 characters holding 3 vowels versus five consonants. Word splitting yields 2 words: davis, cup. Median word length is four characters. Most frequently, 'davis' shows up in English. You will also see it in Chinese (Pinyin) and Vietnamese 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 |
|---|---|---|---|
| 18 | 142.251.168.157 | United States | AS15169GOOGLE |
| 11 | 13.33.187.2 | New York, New York, United States | AS16509AMAZON-02 |
| 11 | 104.18.8.39 | United States | AS13335CLOUDFLARENET |
| 11 | 142.250.184.195 | United States | AS15169GOOGLE |
| 11 | 13.33.187.25 | New York, New York, United States | AS16509AMAZON-02 |
| 11 | 172.217.18.8 | United States | AS15169GOOGLE |
| 11 | 104.18.9.39 | United States | AS13335CLOUDFLARENET |
| 11 | 216.239.32.36 | United States | AS15169GOOGLE |
| 11 | 216.239.34.36 | United States | AS15169GOOGLE |
| 11 | 13.33.187.16 | New York, New York, United States | AS16509AMAZON-02 |
| 359 | 32 | - | - |
Detected Technologies5
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