Security Scan Report: challenge-meli-rafaeltorres.vercel.app

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Submitted: Sep 22, 2026, 12:45:26 AMCompleted: Sep 22, 2026, 12:46:11 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

Mercado Libre impersonation on a vercel.app subdomain with a single-source phishing report. No credential form captured, but Indicators of Compromise and brand misuse warrant avoidance.

Risk Factors (3)
Brand impersonation of Mercado Libre on a non-official domain
Single-source phishing report on the primary domain
Hosted on shared vercel.app subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Mercado Libre

Scan Type

public

Domain Name Analysis

You're looking at domain 'challenge-meli-rafaeltorres.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'challenge-meli-rafaeltorres'. The second-level label 'vercel' is 6 characters long split between 2 vowels and 4 consonants. It segments into two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://challenge-meli-rafaeltorres.vercel.app/

Page Load Overview

1.24s
Total Load Time
102 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:13 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
464.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
123--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D27143318D65EA199A33D988F075879D210CD52FFE314CC8FBACD67407DAA996D298C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGBwVq7/jKEU3SMzHXaMzibfFaMzHTMzibfekB:aBwVq7/j5+7ja17QaH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3673:AAAQQAAABAQAAAAAgCAS8IzgCEACggAABhEQoAgAAGKAwYGEJhiCZCAwAEAAAAAEoEIQBAAAACAAIIAAEIAAIAAAAAABIoAJ

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:1cffffffffffffff
Perceptual Hash:9e1e1e1e1e1e1e16
Difference Hash:6082000000000000
Wavelet Hash:1c2ccccc0f0f0f0f
Color Hash:#1f9370

Other Hashes

Crop Resistant:6082000000000000

Scan History

Scan history not available

Unable to load historical scan data