Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 4 HTTP transactions. The main domain is afroditbet.net and was registered NaN years ago.
Submitted URL: https://afroditbet.net/
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate; only a bot verification page, no malicious activity detected.
Safety Factors
Details
Bot Protection Detected
This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.
Page Title
Bot Verification
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Within the network infrastructure generic top-level domain (.net), 'afroditbet.net' is registered while skipping any subdomain. The second-level label 'afroditbet' is 10 characters long holding 4 vowels versus six consonants. It segments into 4 words: afro, d, it, bet. Average segment length settles at 2.5 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 |
|---|---|---|---|
| 2 | 142.251.127.94 | United States | |
| 1 | 188.114.96.3 | United States | |
| 1 | 142.250.187.195 | United States | Unknown |
| 4 | 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