Summary
This website contacted 190 IPs in 2 countries across 44 domains to perform 294 HTTP transactions. The main domain is f1miamigp.com and was registered NaN years ago.
Submitted URL: https://f1miamigp.com/?srsltid=AfmBOopk5cJNi7HZ--RIUwhx4gvVzBcvS_1WpLC-E2HzBRxZET8X-rKO
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no observable security threats.
Safety Factors
Details
Page Title
F1 Miami - Experience the Formula 1 Crypto.com Miami Grand Prix!
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(81%)Domain Information
You're looking at domain 'f1miamigp.com' on the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'f1miamigp' is 9 characters long split between 3 vowels and 5 consonants, along with one digit. Breaking it apart gives 4 words: f, 1, miami, gp. Median word length is 1.5 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 |
|---|---|---|---|
| 150 | 3.160.150.124 | United States | AS16509AMAZON-02 |
| 21 | 52.2.218.205 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 17 | 34.231.221.232 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 13 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 10 | 216.58.206.78 | United States | AS15169GOOGLE |
| 9 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 7 | 104.20.17.167 | United States | AS13335CLOUDFLARENET |
| 6 | 104.19.175.188 | United States | AS13335CLOUDFLARENET |
| 6 | 151.101.65.229 | San Francisco, California, United States | AS54113FASTLY |
| 5 | 104.17.91.187 | United States | AS13335CLOUDFLARENET |
| 294 | 190 | - | - |
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
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