Summary
This website contacted 132 IPs in 7 countries across 40 domains to perform 228 HTTP transactions. The main domain is ticombo.com and was registered NaN years ago.
Submitted URL: https://www.ticombo.com/en/discover/event/uzbekistan-vs-uruguay-international-friendlies-2510132359
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; the site appears legitimate.
Safety Factors
Details
Page Title
Uzbekistan vs Uruguay International Friendlies Tickets on sale now | Ticombo
Scan Type
public
Language
English
Category
entertainment media
(49%)Domain Information
The domain 'www.ticombo.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The core label 'ticombo' covers 7 characters holding 3 vowels versus 4 consonants. Breaking it apart gives two words: ti, combo. Median word length is 3.5 characters. 'ti' most strongly signals Croatian. Secondary signals appear in Galician and Slovenian. Net impression: Croatian 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 |
|---|---|---|---|
| 97 | 18.66.102.90 | United States | AS16509AMAZON-02 |
| 15 | 35.190.14.188 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 8 | 141.226.228.48 | Netherlands | AS200478Taboola.com ltd |
| 8 | 52.57.227.7 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 8 | 172.66.166.164 | United States | AS13335CLOUDFLARENET |
| 7 | 2.16.241.94 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 13.226.244.125 | United States | AS16509AMAZON-02 |
| 6 | 23.32.238.195 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 85.195.93.95 | Frankfurt am Main, Hesse, Germany | AS29066velia.net Internetdienste GmbH |
| 5 | 146.75.121.44 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 228 | 132 | - | - |
Detected Technologies16
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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