Summary
This website contacted 43 IPs in 2 countries across 12 domains to perform 59 HTTP transactions. The main domain is harlemglobetrotters.com and was registered NaN years ago.
Submitted URL: https://www.harlemglobetrotters.com/world-tour/schedule/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
World Tour Schedule
Scan Type
public
Language
English
Category
e-commerce shopping
(81%)Domain Information
The domain name 'www.harlemglobetrotters.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'harlemglobetrotters' spans 19 characters holding 6 vowels versus 13 consonants. Word splitting yields two words: harlem, globetrotters. Median word length comes out to 9.5 characters. 'harlem' most often appears in English. You will also see it in Portuguese (Brazil) and Danish 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 |
|---|---|---|---|
| 1 | 18.66.122.115 | United States | AS16509AMAZON-02 |
| 1 | 23.50.131.132 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 18.245.31.35 | United States | AS16509AMAZON-02 |
| 1 | 23.55.163.155 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 18.66.122.72 | United States | AS16509AMAZON-02 |
| 1 | 23.35.232.134 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.50.131.149 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 59 | 43 | - | - |
Detected Technologies13
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
Scan History
Scan history not available
Unable to load historical scan data