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

Dead Vercel 404 with no forms or malware, but the subdomain name imitates the Magazine Luiza brand on a free hosting namespace of unknown age; nothing active to interact with.

Risk Factors (2)
Brand-referencing subdomain (magazineluiza-promo) on an anonymous free hosting platform with unknown subdomain age
Dead 404 page — cannot verify intent; the deployment may have been removed or never completed
Safety Factors (4)
No forms, no credential or payment fields of any kind
No Indicators of Compromise, no YARA/JavaScript malware hits, no behavioral exfiltration signals
Only generic same-host 404 content rendered
Verdict names no specific threat, and DOM analysis found no password field (real or disguised) or payment field and no other hard signal — elevated score unsupported; risk adjusted from 4 to 4
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

Domain 'magazineluiza-promo.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'magazineluiza-promo'. The second-level label 'vercel' is 6 characters long holding two vowels versus four consonants. Splitting it apart reveals 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.16s
Total Load Time
4 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 technical59% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
59%
news media journalism
34%
government public service
32%
healthcare medical
32%
technology software
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · 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

T174F1E99170653A3EF2338922589B511D313CE007ED275ECA9D8A95F09EDE5E23A3FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9POh8/QBFytD7uYjx5u17XOuT24gEcy5m:WuGh84BFy5711clXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7956:4RYQAghhIQ4JAgAE0VYIjEm4gMWPYJRBDACAoSAzIFkACMLPzGHlwHWEGIoCAgGXggIAiAYGgmJtEAQQwkMdEgASQKahkRBT

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:fcfcfce420303020
Color Hash:#d279c2

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data