Security Scan Report: www.lifeandstylemag.com

Submitted: Oct 7, 2025, 1:36:25 PMCompleted: Oct 7, 2025, 1:38:03 PMpubliccompleted
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Summary

This website contacted 67 IPs in 1 country across 15 domains to perform 132 HTTP transactions. The main domain is lifeandstylemag.com and was registered NaN years ago.

Submitted URL: https://www.lifeandstylemag.com/posts/who-is-ejae-meet-the-k-pop-star-behind-netflixs-viral-hit-golden/

The Cisco Umbrella rank of the primary domain is #509,067 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

Legitimate site with standard user account forms; no phishing or malware indicators detected.

Safety Factors
Established domain with long registration history
No payment or credit‑card fields present
No hidden password fields or obfuscated forms
Content is a standard editorial article, not a brand impersonation login page
Domain age information unavailable

Details

Page Title

Who Is EJAE? Meet the K-Pop Star Behind Netflix’s Viral Hit ‘Golden’ | Life & Style

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(52%)

Domain Information

Domain 'www.lifeandstylemag.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The core label 'lifeandstylemag' covers 15 characters containing 5 vowels alongside 10 consonants. Tokenizing the label suggests 4 words: life, and, style, mag. Median word length comes out to 3.5 characters. 'life' most often appears in English. Usage also turns up in Chinese (Pinyin) and Chinese (Zhuyin) contexts. Overall, 'www.lifeandstylemag.com' reads as English.

Screenshot

Security scan screenshot of https://www.lifeandstylemag.com/posts/who-is-ejae-meet-the-k-pop-star-behind-netflixs-viral-hit-golden/

Page Load Overview

30.76s
Total Load Time
132
HTTP Requests
15
Domains
1.1 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:37,942 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media52% confidence
Type: webapp
Method: ml+structural

All Detected Categories

entertainment media
52%
news/blog
35%
social_media
35%
forum
35%

Detected Features

Login Form
Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6618.66.112.95United States
AS15169GOOGLE
1172.217.18.1United States
AS15169GOOGLE
1192.0.66.2San Francisco, California, United States
AS2635AUTOMATTIC
1104.17.108.19United States
AS13335CLOUDFLARENET
1216.58.206.40United States
AS15169GOOGLE
13.167.227.43United States
AS16509AMAZON-02
13.174.46.42United States
AS16509AMAZON-02
134.8.113.107Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
134.144.220.247Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1172.64.155.119United States
AS13335CLOUDFLARENET
13267--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T132A44B335218417E929746E4AAB1BB4C60F3E25BEB5541D8B2F4C7FC83CADD5C60748A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:tiW2tGpiqwWvdTo65N7+FWg4+UIcscDT15NS5NQ5NF3:v+bUIcscDTZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:473180:YIMpCoAoAAApBIbyUXyAsAWhcoUiSowjAfCGtYAhCIomQhgygPgWDCgA5iYMQxSMcABAQoMUa8QOE3QAAQCAQgiMzKf4CFAZ

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:efffffff878787ff
Perceptual Hash:b6c9c136c14e36cb
Difference Hash:1a1f25c11d2c2dd1
Wavelet Hash:efff0000878386fe
Color Hash:#4d2d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data