Summary
This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is betexper1099.com and was registered NaN years ago.
Submitted URL: https://betexper1099.com/
AI Security Verdict
High Risk
Confidence: 88%
New, unranked gambling site claiming a brand name; high risk due to age and brand impersonation potential.
Risk Factors
Details
Page Title
Milanobet - Online Bahis ve Casino
Scan Type
public
Language
English
Category
gambling betting
(72%)Domain Information
The domain name 'betexper1099.com' uses the commercial generic top-level domain (.com) with no subdomain. The core label 'betexper1099' covers 12 characters split between three vowels and 5 consonants, plus 4 digits. Breaking it apart gives four words: be, tex, per, 1099. Expect three characters per word on average. 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 | 192.178.183.94 | United States | AS15169Google LLC |
| 8 | 104.20.42.169 | United States | AS13335Cloudflare, Inc. |
| 8 | 185.192.125.120 | Croatia | AS200514KnownSRV Ltd. |
| 8 | 142.251.14.95 | United States | AS15169Google LLC |
| 32 | 4 | - | - |
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