Security Scan Report: meli-frontend-challenge-one.vercel.app

Site favicon
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 3 countries across 4 domains to perform 14 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://meli-frontend-challenge-one.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 68%

4
Risk Score

Static Mercado Libre look-alike storefront on a Vercel subdomain, likely a frontend-challenge demo. No forms or payment fields, so no data collection; no threat-intel or malware hits. Brand copy without disclosure is the only concern.

Risk Factors (3)
Uses another company's brand and styling (Mercado Libre) on a domain unrelated to that company
Hosted on a free/instant-publish platform subdomain with unknown creation date
Subdomain name suggests a developer clone/challenge rather than an official brand property, but nothing on the page discloses that to visitors
Safety Factors (4)
No credential, login, newsletter or payment forms present — nothing is harvested
No threat-intelligence matches, no hunting rule malware patterns, no known kit roster hits
No JavaScript credential exfiltration or obfuscated network sinks detected
No cross-origin form submissions and no disguised password fields
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain 'meli-frontend-challenge-one.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'meli-frontend-challenge-one'. The second-level label 'vercel' is 6 characters long holding two vowels versus four consonants. Segmentation suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

mercado Buscar productos, marcas y mas... [Q cD Categorias v Ofertas Historial Supermercada Moda Vender Ayuda/PQR

Page Load Overview

2.19s
Total Load Time
227 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Text Length:160 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1208.109.29.18United States
AS398101GoDaddy.com, LLC
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1184.24.77.64Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
12.20.242.170Palermo, Sicily, Italy
AS6762TELECOM ITALIA SPARKLE S.p.A.
148--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15EA162239C884937032306CEE7ADEB0D71C59A1FCA2625457BEA979C4BA3D845E2BD14

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:sUs3qVq9AN/WYmfgoq4HRJWaLj90UeQ3J6H38P+d1Pu:sB3qVqORexBeHFu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4783:BAoAQQgABoAQCJ2qCMAIQEUJgAgAFAQAAMAsEpUIKMBHRAAAApICGAQQAQAAEKEAAAABEQCIiCoUAeIQAEgAARAIUQGACIAL

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:00ffffffffffffff
Perceptual Hash:8d0d0d0d4d4f4f4f
Difference Hash:7208000000000000
Wavelet Hash:00fbfcfc00000000
Color Hash:N/A

Other Hashes

Crop Resistant:7208000000000000

Scan History

Scan history not available

Unable to load historical scan data