Security Scan Report: www.grandprixgrandtours.com

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Submitted: Jun 27, 2026, 11:55:28 AMCompleted: Jun 27, 2026, 11:56:38 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 13 HTTP transactions. The main domain is grandprixgrandtours.com and was registered NaN years ago.

Submitted URL: https://www.grandprixgrandtours.com/f1-calendar/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate news/blog page about F1 schedules with no phishing or malware indicators.

Safety Factors
Well‑established domain with no malicious reputation
Absence of credential/payment collection
No external malicious links or IoC matches
Domain age information unavailable

Details

Page Title

F1 Calendar 2025 & 2026 | F1 Grand Prix Race Schedule | Grand Prix Grand Tours

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

You're looking at domain 'www.grandprixgrandtours.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. The second-level label 'grandprixgrandtours' is 19 characters long split between 5 vowels and 14 consonants. It segments into four words: grand, prix, grand, tours. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.grandprixgrandtours.com/f1-calendar/

Page Load Overview

1.58s
Total Load Time
18
HTTP Requests
2
Domains
235 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-GB
Text Length:8,672 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
913.33.187.2New York, New York, United States
AS16509Amazon.com, Inc.
9185.132.43.137United Kingdom
AS8560IONOS SE
182--

Detected Technologies11

100%
JQueryv3.7.1
100%
100%
Bootstrapv1781271680
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1083407B2A5DC213F12278196E0C9FB18F197D036E7214EE1FDFE6259CBC1DA2192251E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SYYbuZM9JNN90doFFpuovII0LMVUa0vGztv+iVD46sSVN/11+E8NH81lReSA8DJP:SSM9JNN90doF2ovI6b0vGztvZVsIOS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:242490:4hBAYDBUQGAkIgkOIGcCIzcLgLKGSqAkogcBAVyGAAgTBEgAQAFgECAhiKgAqpwQOQG+aAULOEFggMBAKQCAzEwSHGBeTOYs

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

Average Hash:ff00000000ffffff
Perceptual Hash:ab04f5e916b6e950
Difference Hash:c3014169913b4e6b
Wavelet Hash:ff00000000ffffff
Color Hash:#3a783c

Other Hashes

Scan History

Scan history not available

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