Security Scan Report: racquetmag.com

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Submitted: Completed: publiccompleted
This website contacted 12 IPs in 2 countries across 10 domains to perform 61 HTTP transactions. The main domain is racquetmag.com and was registered 11 years ago.

Submitted URL: https://racquetmag.com/to-become-caty-mcnally-it-takes-a-village

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate tennis magazine article on an established domain. No phishing, malware, credential-harvesting, or payment forms were detected.

Safety Factors (5)
Established domain over 11 years old
Self-branding matches the domain racquetmag.com
Content is an article with clear byline and publication date
No credential-harvesting or payment forms
No threat-intelligence, YARA, IDS, or JavaScript malware findings
Domain age information unavailable

Details

Page Title

To Become Caty McNally, it takes a Village  - Racquet

Scan Type

public

Domain Name Analysis

You're looking at domain 'racquetmag.com' on the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'racquetmag' stretches across 10 characters containing 4 vowels alongside 6 consonants. Segmentation suggests 2 words: racquet, mag. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://racquetmag.com/to-become-caty-mcnally-it-takes-a-village

Page Load Overview

2.07s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,738 chars
Detector Agreement:80%

Website Classification

Primary Category

healthcare medical37% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
37%
corporate
35%
news/blog
30%
entertainment media
30%
social media network
26%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6192.0.66.223San Francisco, California, United States
AS2635Automattic, Inc
5142.250.154.95Google · CDNUnited States
AS15169Google LLC
5192.0.66.191San Francisco, California, United States
AS2635Automattic, Inc
5142.251.20.94Google · CDNUnited States
AS15169Google LLC
5157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
554.215.242.86Aws · CLOUDSan Jose, California, United States
AS16509Amazon.com, Inc.
5157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5142.251.110.97Google · CDNUnited States
AS15169Google LLC
513.52.59.167Aws · CLOUDSan Jose, California, United States
AS16509Amazon.com, Inc.
554.176.255.88Aws · CLOUDSan Jose, California, United States
AS16509Amazon.com, Inc.
6112--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117D3CB3FE4285579179B1B7A195A650D9183C232E101BFD0EBC858F8EAD0FBF21BA05C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:K9DTbnhEZRIm7pfjZYqxBlsKpoe0OYqxBlsKpoNYqxBlsKpoPkrQZ:6ThJxMWA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:142369:FYCEuBsR4IawQEgglygoIQJuMWAAEDHqQQKJgBimuUMhFAAUMPQmJKfA1jgECxwRQCKBEgBxMwYCCQEHIoAJgeGSACoRYEoE

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:ffffffc3c3c3c3c3
Perceptual Hash:b9c6c3306c76d136
Difference Hash:cc163c06169e0f1a
Wavelet Hash:feffc78181c38181
Color Hash:#693a78

Scan History

Scan history not available

Unable to load historical scan data