Summary
API
This website contacted 22 IPs in 2 countries across 13 domains to perform 42 HTTP transactions. The main domain is racergb.app and was registered 18 years ago.
Submitted URL: https://racergb.app/f1-calendar
AI Security Verdict
Safe Website
Confidence: 78%
Independent F1 schedule/timezone app on a 3+ year-old domain. No forms, no credential or payment collection, self-branded with a clear Formula 1 non-affiliation disclaimer. No threat-intel, YARA or malicious-kit hits; only informational IaaS network alerts.
Safety Factors (6)
Details
Page Title
F1 2026 Schedule & Race Times in Your Timezone | Race RGB
Scan Type
public
Domain Name Analysis
The domain name 'racergb.app' uses the application-focused generic top-level domain (.app) and has no subdomain. The registrable portion 'racergb' spans 7 characters split between 2 vowels and 5 consonants. It segments into 2 words: race, rgb. Median word length is 3.5 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 |
|---|---|---|---|
| 21 | 104.21.80.161Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 142.251.110.95Google · CDN | United States | AS15169Google LLC |
| 1 | 104.17.208.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 142.251.14.97Google · CDN | United States | AS15169Google LLC |
| 1 | 18.244.18.115Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 18.66.102.11Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 192.178.183.94Google · CDN | United States | AS15169Google LLC |
| 1 | 69.46.46.75 | Seattle, Washington, United States | AS400940Railway |
| 1 | 65.9.130.127Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 42 | 22 | - | - |
Detected Technologies12
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