Summary
This website contacted 33 IPs in 4 countries across 25 domains to perform 96 HTTP transactions. The main domain is webtickets.co.za and was registered NaN years ago.
Submitted URL: https://www.webtickets.co.za/v2/event.aspx?itemid=1581915567
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate ticketing page with no security concerns.
Safety Factors
Details
Page Title
Mariah The Scientist Live In Pretoria
Scan Type
public
Language
English
Category
entertainment media
(77%)Domain Information
The domain 'www.webtickets.co.za' uses the South African country-code top-level domain (.co.za), featuring subdomain 'www'. The core label 'webtickets' covers 10 characters containing three vowels alongside seven consonants. Splitting it apart reveals 2 words: web, tickets. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 32 | 142.250.185.106 | United States | AS15169GOOGLE |
| 2 | 74.125.133.156 | United States | AS15169GOOGLE |
| 2 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 142.250.184.238 | United States | AS15169GOOGLE |
| 2 | 34.117.175.203 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 142.251.141.68 | United States | AS15169GOOGLE |
| 2 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 2 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 2 | 184.25.51.8 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 96 | 33 | - | - |
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
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