Summary
This website contacted 12 IPs in 4 countries across 14 domains to perform 126 HTTP transactions. The main domain is lovethesales.com and was registered NaN years ago.
Submitted URL: https://www.lovethesales.com
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate e‑commerce site; no threats detected.
Safety Factors
Details
Page Title
Love the Sales - The World's Biggest Online Sale & Designer Outlet
Scan Type
public
Language
English
Category
e-commerce shopping
(52%)Domain Information
Domain 'www.lovethesales.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'lovethesales' covers 12 characters containing 5 vowels alongside 7 consonants. Word splitting yields 3 words: love, the, sales. The median word length lands at four 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 |
|---|---|---|---|
| 16 | 85.210.99.162 | Reading, England, United Kingdom | AS8075Microsoft Corporation |
| 10 | 104.18.33.62 | United States | AS13335Cloudflare, Inc. |
| 10 | 216.239.32.36 | United States | AS15169Google LLC |
| 10 | 142.250.186.66 | United States | AS15169Google LLC |
| 10 | 20.209.49.232 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 10 | 142.251.143.123 | United States | AS15169Google LLC |
| 10 | 172.64.154.194 | United States | AS13335Cloudflare, Inc. |
| 10 | 20.50.88.234 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 10 | 150.171.109.193 | United States | AS8075Microsoft Corporation |
| 10 | 146.75.122.133 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 126 | 12 | - | - |
Detected Technologies11
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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