Security Scan Report: fabulous-cucurucho-3d90fe.netlify.app

Submitted: Aug 22, 2026, 12:50:07 PMCompleted: Aug 22, 2026, 12:51:28 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Page impersonates Magazine Luiza, collects credentials via a cross‑origin form and is flagged by Safe Browsing – high‑risk phishing site.

Risk Factors (4)
Brand impersonation on unranked hosting subdomain
Cross‑origin credential form exfiltrating to official brand domain
Google Safe Browsing social engineering detection
Single‑source unverified threat‑intel match
Domain age information unavailable

Details

Page Title

Sacola de compras - Magazine Luiza

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'fabulous-cucurucho-3d90fe.netlify.app' is registered; it also runs on subdomain 'fabulous-cucurucho-3d90fe'. Its registrable label 'netlify' stretches across 7 characters containing two vowels alongside five consonants. Segmentation suggests three words: net, li, fy. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fabulous-cucurucho-3d90fe.netlify.app/

Page Load Overview

11.94s
Total Load Time
64 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:1,106 chars
Detector Agreement:67%

Website Classification

Primary Category

blog personal website70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
70%
government public service
64%
news media journalism
61%
healthcare medical
51%
social media network
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
763.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
71--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D01F99BE8E0070A1663B6906CEEF0288D500A07A398ADC0B8BD54798FCC3D44CE3620

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hCU6QclfKH7wAvvXxNaY9PQXH/oRTBzVVMGDylFWQOjNVG:hhsAjaYZoaTlkGOyjNVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:737:QAAAAAAAgAAAAAAAAAAAAAAAAAAAAAAAAEAABABAAAAAAAAoEAIAAAAAAICAAEAAQAEEEAAAAAIAAAAAAAABAAAAAAAAAAAA

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

Average Hash:00ffebf7ffffffc3
Perceptual Hash:e5691a1e666d6931
Difference Hash:451016060c000606
Wavelet Hash:00d7c3e7ffff0000
Color Hash:#532dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data