Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 70 HTTP transactions. The main domain is limenescarlett.top and was registered NaN years ago.
Submitted URL: http://limenescarlett.top/blog.html
Effective URL: https://limenescarlett.top/blog.htmlRedirected
AI Security Verdict
Low Risk
Confidence: 70%
New domain with no malicious indicators; low risk but monitor for future changes.
Safety Factors
Details
Page Title
Education
Scan Type
public
Language
English
Category
healthcare medical
(35%)Domain Information
Within the .top top-level domain, 'limenescarlett.top' is registered with no subdomain. Its registrable label 'limenescarlett' stretches across 14 characters containing 5 vowels alongside nine consonants. Word splitting yields 3 words: lime, ne, scarlett. The median word length lands at 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 |
|---|---|---|---|
| 23 | 142.250.186.170 | United States | AS15169GOOGLE |
| 21 | 142.250.185.131 | United States | AS15169GOOGLE |
| 21 | 185.33.84.184 | Chicago, Illinois, United States | AS202015HZ Hosting Ltd |
| 65 | 3 | - | - |
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
Unable to load historical scan data