Summary
This website contacted 28 IPs in 2 countries across 6 domains to perform 141 HTTP transactions. The main domain is mercedesamgf1.com and was registered NaN years ago.
Submitted URL: https://www.mercedesamgf1.com/reports/race-report-frustrating-sunday-in-mexico
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Mercedes-AMG PETRONAS F1 race report page.
Safety Factors
Details
Page Title
2025 Mexico City GP - Race Report: Frustrating Sunday in Mexico - Mercedes-AMG PETRONAS F1 Team
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
Within the commercial generic top-level domain (.com), 'www.mercedesamgf1.com' is registered and includes subdomain 'www'. The second-level label 'mercedesamgf1' is 13 characters long with four vowels and eight consonants, plus 1 digit. Tokenizing the label suggests four words: mercedes, am, gf, 1. Median word length is 2 characters. 'mercedes' is most common in Romanian usage. Secondary signals appear in Vietnamese and German.
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 |
|---|---|---|---|
| 6 | 15.197.167.90 | United States | AS16509AMAZON-02 |
| 5 | 146.75.123.18 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 5 | 13.33.187.2 | New York, New York, United States | AS16509AMAZON-02 |
| 5 | 172.64.155.119 | United States | AS13335CLOUDFLARENET |
| 5 | 13.33.187.25 | New York, New York, United States | AS16509AMAZON-02 |
| 5 | 13.33.187.16 | New York, New York, United States | AS16509AMAZON-02 |
| 5 | 3.33.186.135 | United States | AS16509AMAZON-02 |
| 5 | 104.18.36.90 | United States | AS13335CLOUDFLARENET |
| 5 | 13.33.187.102 | New York, New York, United States | AS16509AMAZON-02 |
| 5 | 172.64.151.166 | United States | AS13335CLOUDFLARENET |
| 141 | 28 | - | - |
Detected Technologies7
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
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