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

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Submitted: Completed: publiccompleted
This website contacted 7 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: 62%

5
Risk Score

Looks like a developer frontend-challenge clone of Mercado Libre on a Vercel subdomain: it wears the brand with no disclaimer but has zero forms or data collection, no malware, and no Indicators of Compromise.

Risk Factors (3)
Unofficial Vercel subdomain displays another company's brand and exact site title without any disclaimer that it is a replica
Subdomain creation date unknown (platform apex age is not attributable to this page)
Hosting platform vercel.app is a commonly abused cloud hosting service per IDS reputation feeds
Safety Factors (5)
No forms of any kind — no login, password, payment or email capture fields
No credential exfiltration or cross-origin form submissions detected
No Indicators of Compromise, no JavaScript YARA malware matches, no known phishing kit in the kit roster
Only static brand imagery and Google Fonts fetched externally; no obfuscated or sink-connected JavaScript
Subdomain name itself ('meli-frontend-challenge-one') suggests a developer coding exercise rather than an operational storefront
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'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Word splitting yields two 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://meli-frontend-challenge-one.vercel.app/

Page Load Overview

4.38s
Total Load Time
226 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
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2208.109.29.18United States
AS398101GoDaddy.com, LLC
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
2184.24.77.177Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2184.24.77.174Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
147--

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:#8479d2

Other Hashes

Crop Resistant:7208000000000000

Scan History

Scan history not available

Unable to load historical scan data