Summary
This website contacted 11 IPs in 4 countries across 11 domains to perform 54 HTTP transactions. The main domain is thewomenplus.com and was registered NaN years ago.
Submitted URL: https://thewomenplus.com/collection/new-arrivals
AI Security Verdict
High Risk
Confidence: 92%
New, unranked site claiming its own brand without forms; high risk due to age and brand claim, but no active phishing or malware.
Risk Factors
Details
Page Title
THE WOMEN PLUS New Arrivals - Buy New Arrivals from https://thewomenplus.com online at best prices
Scan Type
public
Language
English
Category
e-commerce shopping
(25%)Domain Information
Within the commercial generic top-level domain (.com), 'thewomenplus.com' is registered without a subdomain. Count 12 characters in 'thewomenplus' holding four vowels versus 8 consonants. Segmentation suggests 3 words: the, women, plus. Median word length is 4 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 27 | 52.222.232.36 | United States | AS16509Amazon.com, Inc. |
| 17 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 17 | 54.192.35.104 | United States | AS16509Amazon.com, Inc. |
| 17 | 142.251.110.97 | United States | AS15169Google LLC |
| 17 | 151.101.130.217 | Unknown | |
| 17 | 13.206.21.165 | Mumbai, Maharashtra, India | AS16509Amazon.com, Inc. |
| 17 | 18.64.16.115 | United States | AS16509Amazon.com, Inc. |
| 17 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 17 | 192.178.183.94 | United States | AS15169Google LLC |
| 17 | 142.251.13.95 | United States | AS15169Google LLC |
| 197 | 11 | - | - |
Detected Technologies10
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data