Summary
This website contacted 46 IPs in 3 countries across 9 domains to perform 69 HTTP transactions. The main domain is canaltenis.com and was registered NaN years ago.
Submitted URL: https://canaltenis.com/camila-osorio-y-una-retirada-en-el-wta-jiujiang/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate sports news site with no security concerns.
Safety Factors
Details
Page Title
Camila Osorio y una retirada en el WTA Jiujiang
Scan Type
public
Language
Spanish
Category
news/blog
(100%)Domain Information
Domain 'canaltenis.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'canaltenis' covers 10 characters split between 4 vowels and 6 consonants. Segmentation suggests three words: canal, ten, is. Median word length is three characters. Most frequently, 'ten' shows up in Afrikaans. You will also see it in Dutch and English contexts. Taken together, it feels Afrikaans.
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 |
|---|---|---|---|
| 24 | 142.250.186.104 | United States | AS15169GOOGLE |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 18.173.205.113 | United States | AS16509AMAZON-02 |
| 1 | 104.16.80.73 | United States | AS13335CLOUDFLARENET |
| 1 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 13.32.27.48 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 104.26.5.237 | United States | AS13335CLOUDFLARENET |
| 1 | 13.32.27.89 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 104.26.4.237 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.71.180 | United States | AS13335CLOUDFLARENET |
| 69 | 46 | - | - |
Detected Technologies18
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
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