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Security Scan Report: racingnews365.com

Submitted: Nov 18, 2025, 10:06:05 AMCompleted: Nov 18, 2025, 10:08:01 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is racingnews365.com and was registered NaN years ago.

Submitted URL: https://racingnews365.com/2025-f1-las-vegas-grand-prix-time-schedule

The Cisco Umbrella rank of the primary domain is #203,213 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Established domain (>10 years old)
Low risk ranking but no brand impersonation
No forms collecting sensitive data
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

2025 F1 Las Vegas Grand Prix - Time Schedule | RacingNews365

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

Within the commercial generic top-level domain (.com), 'racingnews365.com' is registered. Count 13 characters in 'racingnews365' with 3 vowels and 7 consonants, plus 3 digits. Breaking it apart gives 3 words: racing, news, 365. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://racingnews365.com/2025-f1-las-vegas-grand-prix-time-schedule

Page Load Overview

30.15s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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
Text Length:747 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
66%
news media journalism
63%
adult content
60%
government public service
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
218.159.13.105Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
13.122.88.22Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C1F3737126D86C774203A3E3A324BB99A5EB893BCD8741C5F2FF46191BC2C52E42B11D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:n+B8gh/DG5CaLZnM2q9P7/yUmMZrMoqcUIxQIC98iwymduGHOcGy:nM8gh/DG5FQ0SduGHOcGy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:162275:AFjAgEaFFI+ALCQGDSAoCJACAgRYjaYBvIVPADAoJQEHVDMCJwB2gd7WZ1W8EkO1XzkEMgmHCSCpgBGNEg0OQUhIFApIGBAg

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:0081dbffffffc787
Perceptual Hash:bc4970c2c392cfd9
Difference Hash:2327332c2a262c0f
Wavelet Hash:008193dffff78700
Color Hash:#4c2d86

Other Hashes

Crop Resistant:0014969692931402,2327332c2a262c0f,2060172727173333,9f97979697168771

Scan History

Scan history not available

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