Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is robl0x-1.netlify.app and was registered NaN years ago.
Submitted URL: http://robl0x-1.netlify.app/
Effective URL: https://robl0x-1.netlify.app/Redirected
AI Security Verdict
High Risk
Confidence: 80%
High‑risk site impersonating Roblox with a login form; likely phishing.
Risk Factors
Details
Page Title
Login to Roblox
Scan Type
public
Language
English
Category
entertainment media
(87%)Domain Information
The domain 'robl0x-1.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'robl0x-1'. Its registrable label 'netlify' stretches across 7 characters split between two vowels and five consonants. Segmentation suggests 3 words: net, li, fy. The median word length lands at 2 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 |
|---|---|---|---|
| 6 | 63.176.8.218Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 4 | 142.251.110.94Google · CDN | United States | AS15169Google LLC |
| 4 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 14 | 3 | - | - |
Page Statistics
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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