Security Scan Report: thewomenplus.com

Submitted: Apr 29, 2026, 12:05:18 PMCompleted: Apr 29, 2026, 12:06:54 PMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 11 domains to perform 2 HTTP transactions. The main domain is thewomenplus.com and was registered NaN years ago.

Submitted URL: https://thewomenplus.com/Womens-Red-Floral-Printed-Ethnic-Suit-Set-with-Dupatta-and/catalogue/bhQt5-6i/9KX4RzyO

AI Security Verdict

Moderate Risk

Confidence: 75%

4
Risk Score

New unranked e‑commerce site with no malicious signs but very new domain; moderate risk, monitor before interacting.

Risk Factors
Very new, unestablished domain
Unranked domain reputation
E‑commerce site with no proven track record
Safety Factors
No login or payment forms
No malicious scripts or YARA matches
No external malicious links or IoC matches
Self‑branding aligns with domain
Domain age information unavailable

Details

Page Title

THE WOMEN PLUS Women'S Red Floral Printed Ethnic Suit Set With Dupatta And Pants Price in India - Buy THE WOMEN PLUS Women'S Red Floral Printed Ethnic Suit Set With Dupatta And Pants online at https://thewomenplus.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(48%)

Domain Information

You're looking at domain 'thewomenplus.com' on the commercial generic top-level domain (.com) without a subdomain. The registrable portion 'thewomenplus' spans 12 characters containing 4 vowels alongside eight consonants. It segments into 3 words: the, women, plus. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://thewomenplus.com/Womens-Red-Floral-Printed-Ethnic-Suit-Set-with-Dupatta-and/catalogue/bhQt5-6i/9KX4RzyO

Page Load Overview

3.29s
Total Load Time
77
HTTP Requests
18
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-IN
Text Length:7,774 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping48% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
48%
adult content
27%
e-commerce
25%
corporate
25%

Detected Features

Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1418.64.16.65United States
AS16509Amazon.com, Inc.
713.206.21.165Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
754.192.35.32United States
AS16509Amazon.com, Inc.
7151.101.2.217United States
AS54113Fastly, Inc.
7192.178.183.94United States
AS15169Google LLC
7157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
720.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
7192.178.183.95United States
AS15169Google LLC
7142.251.13.97United States
AS15169Google LLC
752.222.232.36United States
AS16509Amazon.com, Inc.
7710--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19904F96B0160223C9417A95A9FB17F1D317AF02BDA57C5EAED7A4F24CBC7AC01A13349

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:J+W/AMgRQd785OZrA5mc9hlCevJ+wsrjLLr:IKG5OX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:178392:BVAb6AeDuLFhQ0AX0IowkItDTIMBAQSZQhKRQ4ai84QSQXAoAUNLSSCRYa0HCwJNAyY0ACshY8qgNtANBjljQ4SEjqIVYTAH

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:00b3b3a9e9f9fbfb
Perceptual Hash:ed3716723332964c
Difference Hash:0e66665313030602
Wavelet Hash:00b0b0a8e9f1f3fb
Color Hash:#1f934a

Other Hashes

Crop Resistant:0e66665313030602

Scan History

Scan history not available

Unable to load historical scan data