Summary
API
Submitted URL: https://magazineluizaofcc.netlify.app/
AI Security Verdict
Confirmed Scam
Confidence: 92%
Fake Magazine Luiza storefront on a free netlify.app subdomain, harvesting CPF/phone/email and pushing a PIX payment for a deeply discounted iPhone. Brand impersonation plus payment collection — do not enter data.
Risk Factors (5)
Details
Page Title
Usado: Iphone 11 128 GB Preto - Muito Bom - Apple - iPhone - Magazine Luiza
Scan Type
public
Domain Name Analysis
You're looking at domain 'magazineluizaofcc.netlify.app' on the application-focused generic top-level domain (.app) and includes subdomain 'magazineluizaofcc'. Count 7 characters in 'netlify' containing two vowels alongside 5 consonants. Tokenizing the label suggests three words: net, li, fy. Expect 2 characters 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 |
|---|---|---|---|
| 53 | 35.157.26.135Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 2 | 23.36.162.200Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 13.33.217.187Cloudfront · CDN | New York, New York, United States | AS16509Amazon.com, Inc. |
| 2 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 2 | 179.191.182.65 | Offenbach, Hesse, Germany | AS52580Azion Technologies Ltda. |
| 2 | 62.115.253.75 | France | AS1299Arelion Sweden AB |
| 2 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 2 | 146.75.120.84Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 2 | 142.251.156.119Google · CDN | United States | AS15169Google LLC |
| 2 | 142.251.13.148Google · CDN | United States | AS15169Google LLC |
| 163 | 56 | - | - |
Detected Technologies10
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