Security Scan Report: women.lifeway.com

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Submitted: Nov 23, 2025, 3:43:40 PMCompleted: Nov 23, 2025, 3:45:19 PMpubliccompleted
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Summary

This website contacted 90 IPs in 6 countries across 27 domains to perform 155 HTTP transactions. The main domain is women.lifeway.com and was registered NaN years ago.

Submitted URL: https://women.lifeway.com/2025/03/19/what-i-wish-you-knew-about-my-generation-gen-x/

The Cisco Umbrella rank of the primary domain is #152,182 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate with no notable security concerns.

Safety Factors
Long‑standing domain registration
Established brand (Lifeway) with legitimate content
No external links or suspicious redirects
Domain age information unavailable

Details

Page Title

What I Wish You Knew About My Generation | Gen X - Lifeway Women

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(50%)

Domain Information

Within the commercial generic top-level domain (.com), 'women.lifeway.com' is registered; it also runs on subdomain 'women'. The second-level label 'lifeway' is 7 characters long split between 3 vowels and 4 consonants. Tokenizing the label suggests 2 words: life, way. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://women.lifeway.com/2025/03/19/what-i-wish-you-knew-about-my-generation-gen-x/

Page Load Overview

1.20s
Total Load Time
155
HTTP Requests
27
Domains
1.2 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:9,037 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
government public service
36%
corporate
35%
education learning
29%
news
15%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
86141.193.213.20United States
AS209242Cloudflare London, LLC
723.32.239.80Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
6142.250.186.130United States
AS15169GOOGLE
4104.21.27.152United States
AS13335CLOUDFLARENET
323.218.208.236Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2216.239.34.36United States
AS15169GOOGLE
254.155.54.238Dublin, Leinster, Ireland
AS16509AMAZON-02
2216.58.212.136United States
AS15169GOOGLE
2142.250.185.74United States
AS15169GOOGLE
15590--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182E34A736664107A567B52C690AE734C6731D12FFB04C5EAF6FC82AC63C4AA60133B5D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rXDemtWTvZoNmf95YqhxzXL8W7mzMRkxhp6F3POzkfsR7uxjMgUb:bDcYaxzXLFwgUb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:145613:RjgAwAkQYjEIUYYiPSK2ICJNa0YFJA/sRqhcyJgEFFIaBCgQALccCBAoMZHhRBDJAQkAMjASAAw4ABSTIcQCECIPRWpELENU

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:00ffffffc7c3c3c7
Perceptual Hash:b1ce336d1a47383c
Difference Hash:0a160e089e9e9e9e
Wavelet Hash:00ebc3e7c3c3c3c3
Color Hash:#78753a

Scan History

Scan history not available

Unable to load historical scan data