Summary
API
This website contacted 3 IPs in 2 countries across 21 domains to perform 62 HTTP transactions. The main domain is gohorsebetting.com and was registered 23 years ago.
Submitted URL: https://www.gohorsebetting.com/Robby_Albarado
AI Security Verdict
Safe Website
Confidence: 92%
The site is an established gambling page with no malicious indicators; it is considered legitimate.
Safety Factors (4)
Details
Page Title
Robby Albarado - Famous Jockey
Scan Type
public
Domain Name Analysis
The domain 'www.gohorsebetting.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'gohorsebetting' spans 14 characters containing five vowels alongside nine consonants. It segments into three words: go, horse, betting. Average segment length settles at five characters. 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 |
|---|---|---|---|
| 22 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 20 | 31.3.2.208 | Frankfurt am Main, Hesse, Germany | AS21245Medianova Internet Hizmetleri Ve Ticaret Anonim Sirketi |
| 20 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 62 | 3 | - | - |
Detected Technologies10
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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