Security Scan Report: motorsportsclicks.com

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Submitted: Completed: publiccompleted
This website contacted 22 IPs in 2 countries across 12 domains to perform 95 HTTP transactions. The main domain is motorsportsclicks.com and was registered 1 year 2 months ago.

Submitted URL: https://motorsportsclicks.com/isack-hadjar-to-miss-italian-grand-prix-as-lawson-stays-at-red-bull/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate motorsport news article on an established self-branded WordPress blog. No forms capturing credentials, no brand impersonation, and no threat-intelligence, malware or IDS hits.

Safety Factors (5)
Domain registered over a year ago (431 days)
WordPress-powered news site with article-style dated posts, byline (Marco Aimi) and comments
No credential, payment or disguised-password fields anywhere on the page
Only external resources are CDNs/analytics (Cloudflare cdnjs, Google Fonts, Google Analytics, Gravatar, AdSense)
No cross-origin form submission or credential exfiltration detected
Domain age information unavailable

Details

Page Title

ISACK HADJAR TO MISS ITALIAN GRAND PRIX AS LAWSON STAYS AT RED BULL - Motorsportsclicks | Motorsport News

Scan Type

public

Domain Name Analysis

The domain name 'motorsportsclicks.com' uses the commercial generic top-level domain (.com). Count 17 characters in 'motorsportsclicks' containing 4 vowels alongside 13 consonants. Segmentation suggests 2 words: motorsports, clicks. Median word length comes out to 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://motorsportsclicks.com/isack-hadjar-to-miss-italian-grand-prix-as-lawson-stays-at-red-bull/

Page Load Overview

0.38s
Total Load Time
3.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-GB
Text Length:4,859 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning39% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

education learning
39%
news/blog
35%
corporate
35%
healthcare medical
35%
documentation technical
33%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1192.113.16.65Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
4142.250.154.95Google · CDNUnited States
AS15169Google LLC
4192.178.183.97Google · CDNUnited States
AS15169Google LLC
4142.251.110.157Google · CDNUnited States
AS15169Google LLC
4104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
4172.67.139.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.127.157Google · CDNUnited States
AS15169Google LLC
4142.251.20.132Google · CDNUnited States
AS15169Google LLC
492.113.16.40Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
9522--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15634E779D3EF18A22762815DF40F2154AB62BD7FD69007E8FABE429413CCDB45A23709

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:L6HL0aLk02LN9e6V1tYqJ6yFWb0Owbwc8Wc4:LK0aLk02LN0MtYqJ3FWb0Ow38k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:242474:Kwo0JExFQIBuiAERGQbgKpRyAByQQNngAdC2JWGBUCFJChAkE5BWslxQAIuWYG3li5AMJAEBgVU0SEiajIAA1JBDKjod4BEA

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:00fffbff8f8f8f00
Perceptual Hash:b9c44b3a463f433c
Difference Hash:6960123c38381839
Wavelet Hash:00ff8b8f8f8f8f00
Color Hash:#77783a

Scan History

Scan history not available

Unable to load historical scan data