Summary
This website contacted 3 IPs in 1 country across 2 domains to perform 31 HTTP transactions. The main domain is lowes.paradox.ai and was registered NaN years ago.
Submitted URL: https://lowes.paradox.ai
Effective URL: https://lowes.paradox.ai/loginRedirected
The Cisco Umbrella rank of the primary domain is #37,339 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Login
Scan Type
public
Language
English
Category
technology software
(46%)Domain Information
Within the Anguillan country-code top-level domain (.ai), 'lowes.paradox.ai' is registered; it also runs on subdomain 'lowes'. The second-level label 'paradox' is 7 characters long containing 3 vowels alongside 4 consonants. Segmentation suggests one word: paradox. Median word length is 7 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 |
|---|---|---|---|
| 8 | 100.24.199.192 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 8 | 13.226.244.3 | United States | |
| 8 | 34.194.31.79 | United States | Unknown |
| 24 | 3 | - | - |
Detected Technologies5
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