Security Scan Report: magazineluiza-promo.vercel.app

Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://magazineluiza-promo.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Dead Vercel deployment serving only a 404 page, but its 'magazineluiza-promo' subdomain borrows a retailer's brand on free hosting — treat as a possible abandoned or removed phishing lure and avoid the domain.

Risk Factors (3)
Brand-lure subdomain using a third-party retailer's name on a free hosting platform
Vercel subdomain with unknown creation date — could have been registered recently
Deployment missing/removed, consistent with a page that was taken down or never fully published
Safety Factors (4)
No forms of any kind — no credential, password or payment collection
No obfuscated or malicious JavaScript, no external script hosts recorded
No Indicators of Compromise or Safe Browsing threats against the page or its resources
Currently serves only a platform error page, so no interaction is possible
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain 'magazineluiza-promo.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'magazineluiza-promo'. The registrable portion 'vercel' spans 6 characters holding two vowels versus 4 consonants. Segmentation suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://magazineluiza-promo.vercel.app/

Page Load Overview

0.13s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical61% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
61%
news media journalism
33%
healthcare medical
31%
government public service
31%
technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
23--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195F1E99170653A3EF2378922189B511C313CE047ED275ECA998A85F09ADE5E23A6FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYja59A7XOuT24gEcy5m:SuGh84BFy571m3kXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhGguG4NCaKQEWwAJxEgyLBgY4tDEBahRBJAzgYiEGGECjAGTIMAIoiCgWNBiLAMEaIgEQyfCEAjkTFRSkEBAGCYAG4

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:ffffffe7e7ffffe7
Perceptual Hash:b389cccc3333cccc
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce420383c24
Color Hash:#931f3c

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data