Security Scan Report: www.womenshealthmag.com

Submitted: Oct 10, 2025, 8:22:07 PMCompleted: Oct 10, 2025, 8:23:24 PMpubliccompleted
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Summary

This website contacted 31 IPs in 2 countries across 10 domains to perform 161 HTTP transactions. The main domain is womenshealthmag.com and was registered NaN years ago.

Submitted URL: https://www.womenshealthmag.com/life/a42485961/lisa-marie-presley-children/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate article with no security concerns.

Safety Factors
Well‑established domain (over 20 years old)
Content is standard editorial article with no suspicious scripts or redirects
Domain age information unavailable

Details

Page Title

All About Elvis' Grandchildren: Lisa Marie Presley's 4 Children

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(77%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.womenshealthmag.com' is registered with subdomain 'www'. The core label 'womenshealthmag' covers 15 characters holding 5 vowels versus ten consonants. Breaking it apart gives 3 words: womens, health, mag. The median word length lands at 6 characters. 'women' is most common in Dutch usage. You will also see it in German and English contexts.

Screenshot

Security scan screenshot of https://www.womenshealthmag.com/life/a42485961/lisa-marie-presley-children/

Page Load Overview

13.10s
Total Load Time
161
HTTP Requests
10
Domains
2.5 MB
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-US
Text Length:8,067 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media77% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
77%
healthcare medical
40%
news/blog
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
598.85.24.193Ashburn, Virginia, United States
AS14618AMAZON-AES
5142.250.184.226United States
AS15169GOOGLE
513.226.244.48United States
AS16509AMAZON-02
5146.75.120.155Frankfurt am Main, Hesse, Germany
AS54113FASTLY
565.9.66.34United States
AS16509AMAZON-02
565.9.66.24United States
AS16509AMAZON-02
53.161.82.75United States
AS16509AMAZON-02
53.161.82.89United States
AS16509AMAZON-02
5104.18.87.42United States
AS13335CLOUDFLARENET
565.9.66.72United States
AS16509AMAZON-02
16131--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196A45B2697200539A73BD6CAFCD97B8AF058F506D2C185EAD9DA4D1D07CAA5C330336B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GYyzE8/s1OpZKDtC78JouloU21uAksXFGheA1JWcFjr+ByHe11y5JLIYA1/:ngs+0/j4Y0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:450403:IkG4iAhCBlJQAEALgARWoQl4VKW5IRAQySEkKqACR4E1OmyMdpJBlGWIEEs5IDBLMrKBgAwmEECSYEQQBEykoQGCBgARpGKB

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:00ffefe7e7ffe7c3
Perceptual Hash:b35c664c37131b33
Difference Hash:dc23180c1e100c8e
Wavelet Hash:0000c7c7c7efe7c3
Color Hash:#53ac8d

Scan History

Scan history not available

Unable to load historical scan data