Summary
This website contacted 15 IPs in 4 countries across 2 domains to perform 62 HTTP transactions. The main domain is momsworld.site and was registered NaN years ago.
Submitted URL: https://momsworld.site/collections/birthday-flowers?utm_source=side_nav
Effective URL: https://momsworld.site/en/collections/birthday-flowers?utm_source=side_navRedirected
AI Security Verdict
Safe Website
Confidence: 85%
No malicious indicators detected; site appears benign.
Safety Factors
Details
Page Title
not found
Scan Type
public
Language
English
Category
e-commerce shopping
(64%)Domain Information
Domain 'momsworld.site' uses the .site top-level domain and has no subdomain. The second-level label 'momsworld' is 9 characters long split between 2 vowels and seven consonants. It segments into two words: moms, world. The median word length lands at 4.5 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 |
|---|---|---|---|
| 6 | 40.172.9.206 | Dubai, Dubai, United Arab Emirates | AS16509AMAZON-02 |
| 4 | 3.174.46.34 | United States | AS16509AMAZON-02 |
| 4 | 3.174.46.7 | United States | AS16509AMAZON-02 |
| 4 | 188.137.180.50 | Oude Meer, North Holland, Netherlands | AS211381Podaon SIA |
| 4 | 18.168.138.18 | City of London, England, United Kingdom | AS16509AMAZON-02 |
| 4 | 3.174.46.75 | United States | AS16509AMAZON-02 |
| 4 | 13.32.99.107 | New York, New York, United States | AS16509AMAZON-02 |
| 4 | 13.226.247.47 | United States | AS16509AMAZON-02 |
| 4 | 13.226.247.191 | United States | AS16509AMAZON-02 |
| 4 | 13.32.99.97 | New York, New York, United States | AS16509AMAZON-02 |
| 62 | 15 | - | - |
Detected Technologies4
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
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