Security Scan Report: magazineluiza-promo.vercel.app

Submitted: Completed: publiccompleted
This website contacted 2 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: 55%

4
Risk Score

Unreachable Vercel 404 page carrying a brand-suggestive 'magazineluiza-promo' subdomain, but no content, forms or malware signals - moderate suspicion only.

Risk Factors (3)
Brand-suggestive subdomain on a free hosting platform using a name that matches a real retailer plus 'promo'
Unreachable deployment - content was removed or never published, a pattern sometimes seen with disposable phishing URLs
Unknown subdomain creation date on a shared platform
Safety Factors (4)
No credential, login or payment form on the page (0 forms, 0 password fields, 0 payment fields)
No JavaScript malware or obfuscation detected
No Indicators of Compromise and no Google Safe Browsing / YARA / kit-roster hits
Page displays only a generic platform 404 notice with no brand logos, styling or claims
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain name 'magazineluiza-promo.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'magazineluiza-promo'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and 4 consonants. It segments into 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.33s
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 technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
news media journalism
30%
technology software
30%
healthcare medical
29%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E2F1D99170613A3EF2338962189B511D313CE006FD275ECA998A95F09EDE5E23A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9POh8/QBFytD7uYjz5417XOuT24gEcy5m:WuGh84BFy571fulXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7945:YQQQV4lrAAoJYgAE0EYILElwzMOKYJQBjAgAoGLzIEkBSEJBQVHACBE0MAgSFgGz4gZAiAKFIEMoMKwQRwAUEsASQKSFkFFS

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:fcfcfce4243c3820
Color Hash:#4c783a

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data