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Security Scan Report: magalupromosvips.vercel.app

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Submitted: Aug 5, 2026, 7:50:02 PMCompleted: Aug 5, 2026, 7:51:15 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 2 HTTP transactions. The main domain is magalupromosvips.vercel.app and was registered NaN years ago.

Submitted URL: https://magalupromosvips.vercel.app/

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site mimics Magazine Luiza branding on an unranked Vercel subdomain without collecting credentials; treat as moderate risk.

Risk Factors
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Unknown subdomain age
Safety Factors
No forms collecting credentials or payment data
No malicious JavaScript or YARA detections
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Magazine Luiza | Ofertas e Entrega Rápida - Magalu

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

corporate business

(74%)

Domain Information

Domain 'magalupromosvips.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'magalupromosvips'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Breaking it apart gives 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://magalupromosvips.vercel.app/

Page Load Overview

1.88s
Total Load Time
53
HTTP Requests
13
Domains
3.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:6,745 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
74%
entertainment media
68%
government public service
49%
finance banking
39%
e-commerce shopping
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
864.29.17.131United States
AS16509Amazon.com, Inc.
565.9.130.111Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5104.26.10.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
52.16.204.86Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
52.16.206.22Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
5179.191.182.65Offenbach, Hesse, Germany
AS52580Azion Technologies Ltda.
5104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
565.9.130.24Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5192.178.170.95Google · CDNUnited States
AS15169Google LLC
5104.18.27.39Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5310--

Page Statistics

53
Requests
13
Unique Domains
3.7 MB
Total Size

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10BB352A591F205BB0427D6C957A2EB47BDE0B517E18BC9043AED1784CFCAF81A443A7C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4BZflCKoZdLzObGx6caZ++V6A0FgepkBcIh8pmXK81funX3iE6ytWDxVdqHIB6oZ:4n0nZd6qx6a7mXh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:112870:NYkAg6yAUIcwAjAMIEEAgYQIWMzDIAagyEEMHYiTSsAIBYBANFShKEgVEgJMN10LRFUI2IUOACoTAQR5IWUeYQUkGGAFIRpB

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:008181c3ffffffc3
Perceptual Hash:bc2c4fd313c62c93
Difference Hash:f12727379912c007
Wavelet Hash:00818183cfffff83
Color Hash:#39862d

Other Hashes

Crop Resistant:f12727379912c007,a880a8c8c8a98088,6aeab634a50dcbea,770769e1f0a9d2d2,33676565e5657373,1092041898040090

Scan History

Scan history not available

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