Summary
API
Submitted URL: https://roblox.rw/users/513740201968/profile
AI Security Verdict
High Risk
Confidence: 78%
Unofficial domain roblox.rw mimics Roblox with the real platform's branding and assets, offers 'Create Robux', and is reported for phishing; no credential form in this capture, but treat logins as unsafe.
Risk Factors (4)
Details
Page Title
pawsley - Roblox
Scan Type
public
Domain Name Analysis
You're looking at domain 'roblox.rw' on the .rw country-code top-level domain with no subdomain. Its registrable label 'roblox' stretches across 6 characters with two vowels and 4 consonants. It segments into one word: roblox. Median word length is six 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 |
|---|---|---|---|
| 121 | 3.174.46.107Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 51 | 172.67.180.38Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 38 | 23.207.210.93Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 20 | 128.116.21.3 | Amsterdam, North Holland, Netherlands | AS22697Roblox |
| 7 | 23.216.77.26Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 23.207.210.68Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 23.207.210.83Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 128.116.44.3 | Frankfurt am Main, Hesse, Germany | AS22697Roblox |
| 7 | 18.64.211.103Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 7 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 286 | 36 | - | - |
Detected Technologies6
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
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