Summary
API
Submitted URL: https://s4w.in/roblox-com-users-1102363654-profile
AI Security Verdict
High Risk
Confidence: 88%
Non-official roblox.ly page impersonating Roblox, reached via a redirect from a phishing-flagged short-link domain; both domains carry phishing threat-intel reports. Avoid login or interaction.
Risk Factors (5)
Details
Page Title
Tyro - Roblox
Scan Type
public
Domain Name Analysis
You're looking at domain 's4w.in' on the Indian country-code top-level domain (.in) without a subdomain. The core label 's4w' covers 3 characters containing 0 vowels alongside 2 consonants, plus 1 digit. Splitting it apart reveals three words: s, 4, w. Expect one character 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 |
|---|---|---|---|
| 27 | 202.170.75.201 | Frankfurt am Main, Hesse, Germany | AS219067Chiara Conti |
| 11 | 188.114.96.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 11 | 23.53.40.66Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 23.53.40.19Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 23.48.23.37Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 128.116.31.3 | Slough, England, United Kingdom | AS22697Roblox |
| 11 | 2.20.245.170Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 2.19.198.10Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 142.250.154.97Google · CDN | United States | AS15169Google LLC |
| 11 | 34.160.81.0Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 324 | 28 | - | - |
Detected Technologies8
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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