Summary
API
Submitted URL: https://s4w.in/www-roblox-com-users-96631787280-profile
AI Security Verdict
Confirmed Scam
Confidence: 95%
Fake Roblox site on roblox.com.et reached via the flagged short-link s4w.in; it clones the profile UI and funnels users to sign up on the impostor domain. Multi-source phishing intel plus a HIGH IDS alert confirm it.
Risk Factors (6)
Details
Page Title
T3KK3N - Roblox
Scan Type
public
Domain Name Analysis
The domain 's4w.in' uses the Indian country-code top-level domain (.in) without a subdomain. The registrable portion 's4w' spans 3 characters holding zero vowels versus two consonants, plus 1 digit. Word splitting yields three words: s, 4, w. The median word length lands at 1 character. 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 |
|---|---|---|---|
| 15 | 202.170.75.201 | Frankfurt am Main, Hesse, Germany | AS219067Chiara Conti |
| 10 | 188.114.97.3Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 10 | 95.101.74.210Akamai · CDN | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 10 | 18.64.211.63Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 10 | 3.174.46.121Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 10 | 128.116.44.3 | Frankfurt am Main, Hesse, Germany | AS22697Roblox |
| 10 | 2.20.245.184Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 10 | 54.192.35.108Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 10 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 10 | 128.116.5.3 | Frankfurt am Main, Hesse, Germany | AS22697Roblox |
| 325 | 32 | - | - |
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
Unable to load historical scan data