Summary
API
Submitted URL: https://www.roblox.com.ml/users/438014914332/profile
AI Security Verdict
Confirmed Scam
Confidence: 96%
Fake Roblox profile on non-official roblox.com.ml domain, reported as phishing by multiple feeds and flagged by IDS; brand impersonation with login lure.
Risk Factors (5)
Details
Page Title
Layla - Roblox
Scan Type
public
Domain Name Analysis
You're looking at domain 'www.roblox.com.ml' on the .com.ml country-code top-level domain with subdomain 'www'. The registrable portion 'roblox' spans 6 characters with 2 vowels and four consonants. Word splitting yields 1 word: roblox. Average segment length settles at 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 |
|---|---|---|---|
| 28 | 202.170.75.2 | Frankfurt am Main, Hesse, Germany | AS219067Chiara Conti |
| 9 | 23.32.239.27Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 23.53.40.48Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 23.48.23.37Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 128.116.44.3 | Frankfurt am Main, Hesse, Germany | AS22697Roblox |
| 9 | 23.53.40.75Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 18.64.211.77Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 9 | 23.32.239.43Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 23.53.40.18Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 23.48.23.17Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 226 | 23 | - | - |
Detected Technologies5
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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