Summary
This website contacted 12 IPs in 1 country across 3 domains to perform 8 HTTP transactions. The main domain is q-r.to and was registered NaN years ago.
Submitted URL: https://q-r.to/bgNoY8
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Bot Protection Detected
This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.
Page Title
N/A
Scan Type
public
Language
UNKNOWN
Category
unknown
(0%)Domain Information
You're looking at domain 'q-r.to' on the .to country-code top-level domain and has no subdomain. The core label 'q-r' covers 3 characters split between zero vowels and two consonants; it also includes one hyphen. Tokenizing the label suggests two words: q, r. Median word length is 1 character. 'q' is most common in Chinese (Zhuyin) usage. Usage also turns up in Sinhala and Chinese (Simplified) contexts. Taken together, it feels Chinese (Zhuyin) with character flair.
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 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 0 | 18.245.31.114 | United States | AS16509AMAZON-02 |
| 0 | 18.245.31.38 | United States | AS16509AMAZON-02 |
| 0 | 13.33.187.85 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 13.33.187.13 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 18.245.31.75 | United States | AS16509AMAZON-02 |
| 0 | 2606:4700::6811:180e | United States | AS13335CLOUDFLARENET |
| 0 | 2606:4700::6811:190e | United States | AS13335CLOUDFLARENET |
| 0 | 13.33.187.51 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 13.33.187.122 | New York, New York, United States | AS16509AMAZON-02 |
| 8 | 12 | - | - |
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
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