Summary
API
Submitted URL: https://royalskeep.com/news-rumors/kansas-city-royals/how-did-jac-caglianone-find-the-sweet-spot-to-take-his-hitting-to-another-level-r4568/
AI Security Verdict
Low Risk
Confidence: 85%
The page is a legitimate news site with a standard login form and no malicious indicators.
Safety Factors (4)
Details
Page Title
How Did Jac Caglianone Find the Sweet Spot to Take His Hitting to Another Level? - Royals - Royals Keep
Scan Type
public
Domain Name Analysis
The domain name 'royalskeep.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 10 characters in 'royalskeep' containing 4 vowels alongside six consonants. Splitting it apart reveals two words: royals, keep. 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 |
|---|---|---|---|
| 25 | 108.138.24.104Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 2 | 18.66.147.22Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 2 | 100.57.114.123Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 2 | 52.222.250.179Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 2 | 52.222.250.72Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 2 | 142.251.127.95Google · CDN | United States | AS15169Google LLC |
| 2 | 13.226.247.127Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 2 | 100.60.18.37Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 2 | 18.66.147.26Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 2 | 20.250.198.32Azure · CLOUD | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 101 | 39 | - | - |
Detected Technologies15
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