Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 10 HTTP transactions. The main domain is motocross.com and was registered NaN years ago.
Submitted URL: https://motocross.com/news/cleveland-supercross-results-2026
AI Security Verdict
Safe Website
Confidence: 93%
The site appears legitimate with no malicious indicators; low risk despite being unranked.
Safety Factors
Details
Bot Protection Detected
This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.
Page Title
motocross.com
Scan Type
public
Language
English
Category
news
(30%)Domain Information
The domain 'motocross.com' uses the commercial generic top-level domain (.com) without a subdomain. The second-level label 'motocross' is 9 characters long with three vowels and six consonants. Word splitting yields one word: motocross. 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 |
|---|---|---|---|
| 5 | 3.78.137.248 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 4 | 151.101.2.98 | United States | AS54113Fastly, Inc. |
| 4 | 18.66.147.28 | United States | AS16509Amazon.com, Inc. |
| 13 | 3 | - | - |
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
Unable to load historical scan data