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

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 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: 60%

4
Risk Score

Developer-style replica of Mercado Libre's storefront on a free vercel.app subdomain. Brand mismatch on a non-official domain, but no forms, no credential harvesting and no threat-intel or malware hits; suspicious branding only.

Risk Factors (2)
Presents another entity's brand (Mercado Libre) on a domain that is not that brand's official domain
Hosted on a free/shared platform subdomain with no verifiable creation date or reputation (unranked in Cisco Umbrella)
Safety Factors (4)
No forms of any kind, therefore no credential or payment collection
No Indicators of Compromise, no YARA malware matches, no known phishing kit in the roster
No cross-origin credential exfiltration or suspicious JavaScript behavior detected
Subdomain name itself indicates a 'frontend challenge' clone rather than an attempt to operate as the real store
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'meli-frontend-challenge-one.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'meli-frontend-challenge-one'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. Tokenizing the label suggests two 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://meli-frontend-challenge-one.vercel.app/

Page Load Overview

1.44s
Total Load Time
211 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
4216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2208.109.29.18United States
AS398101GoDaddy.com, LLC
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2184.24.77.177Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2184.24.77.174Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
146--

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:#783a51

Other Hashes

Crop Resistant:7208000000000000

Scan History

Scan history not available

Unable to load historical scan data