Summary
API
Submitted URL: https://visit-the.link/roblox-profile-975221
AI Security Verdict
Confirmed Scam
Confidence: 95%
Fake Roblox profile page on roblox.et impersonating Roblox, corroborated by multiple phishing feeds and an OpenPhish URL match.
Risk Factors (3)
Details
Page Title
helikosta - Roblox
Scan Type
public
Domain Name Analysis
You're looking at domain 'visit-the.link' on the .link top-level domain and has no subdomain. Count 9 characters in 'visit-the' split between 3 vowels and 5 consonants, notching 1 hyphen. Segmentation suggests two words: visit, the. Median word length comes out to four 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 |
|---|---|---|---|
| 120 | 2.18.244.210Akamai · CDN | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 48 | 202.170.75.201 | Frankfurt am Main, Hesse, Germany | AS219067Chiara Conti |
| 46 | 128.116.44.3 | Frankfurt am Main, Hesse, Germany | AS22697Roblox |
| 9 | 57.131.147.220 | France | AS16276OVH SAS |
| 9 | 23.32.239.43Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 23.32.239.82Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 23.216.77.26Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 2.20.245.170Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 23.207.210.87Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 95.101.74.207Akamai · CDN | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 325 | 34 | - | - |
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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