Security Scan Report: newyorklifestylesmagazine.com

Submitted: Mar 5, 2026, 8:37:26 AMCompleted: Mar 5, 2026, 8:38:43 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is newyorklifestylesmagazine.com and was registered NaN years ago.

Submitted URL: https://newyorklifestylesmagazine.com/articles/2025/07/pe01.html

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Bryce Dallas HowarD | New York Lifestyles Magazine

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'newyorklifestylesmagazine.com' is registered while skipping any subdomain. Count 25 characters in 'newyorklifestylesmagazine' with 9 vowels and 16 consonants. It segments into four words: new, york, lifestyles, magazine. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://newyorklifestylesmagazine.com/articles/2025/07/pe01.html

Page Load Overview

7.30s
Total Load Time
22
HTTP Requests
2
Domains
1.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:4,405 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11208.109.246.217United States
AS398101GoDaddy.com, LLC
11172.217.16.170United States
222--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10082A733DEF6396B50176180796EBA5E9723405BE7025E0D7BEC2139F7C8E500A632D5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:9zsDfZgZA+1yFqFNTt+KNdmbnk7yO6tnrA9K9Hup1:9zsDfZgZA+yFqHt/dmDk7D9Kdup1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19004:RIowEcEExGhRgRckoS0mSVYDIMAACTJIOy+IIABgIkoQBYjNEgT2YTCIzAGsQyoBgaAAQiCQIIkGYiSCSoqRMwQvCEYTTRut

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:83c3c3fffbfbe7e7
Perceptual Hash:e92c366d96966934
Difference Hash:071a1a1a12130f0d
Wavelet Hash:81c3c3cbc3c1c7c7
Color Hash:#93761f

Scan History

Scan history not available

Unable to load historical scan data