Security Scan Report: www.projetomercadolivreversaoromulo.vercel.app

Redirected to:
https://projetomercadolivreversaoromulo.vercel.app/
Site favicon
Submitted: Sep 5, 2026, 1:45:17 AMCompleted: Sep 5, 2026, 1:47:41 AMpubliccompleted

This website contacted 15 IPs in 2 countries across 7 domains to perform 239 HTTP transactions. The main domain is projetomercadolivreversaoromulo.vercel.app and was registered 20 years ago.

Submitted URL: http://www.projetomercadolivreversaoromulo.vercel.app/

Effective URL:

https://projetomercadolivreversaoromulo.vercel.app/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The page impersonates Mercado Livre without collecting credentials, posing a moderate phishing risk.

Risk Factors (3)
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Unknown subdomain age on shared hosting platform
Safety Factors (3)
No malicious JavaScript or YARA detections
No credential or payment collection forms
Physical address and contact information displayed
Domain age information unavailable

Details

Page Title

Mercado Livre Brasil - Frete Grátis no mesmo dia

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.projetomercadolivreversaoromulo.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'www.projetomercadolivreversaoromulo'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside four consonants. Word splitting yields two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.projetomercadolivreversaoromulo.vercel.app/

Page Load Overview

20.57s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:17,636 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media75% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
75%
e-commerce shopping
52%
documentation technical
48%
corporate business
41%
technology software
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29184.24.77.57Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1565.9.130.85Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1564.29.17.131United States
AS16509Amazon.com, Inc.
1564.29.17.67United States
AS16509Amazon.com, Inc.
15104.21.19.26Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
153.160.150.13Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
153.160.150.109Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1565.9.130.119Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15184.24.77.64Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
153.160.150.68Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23915--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103E3D65B73D211295A07E078FEBFEF057331A0179285CC18BA8E625D8F8616896B1FDC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UX6i2Y4MyRdJg+F7rylQDyLDn36ywP99NmA5hcBeobd1tSTPkufzAUk:s/4dde+F7APDn3SP99Nt5elyID

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:150971:gtAC4APEALBCm4OBoApQDwCAwROMHrYHRBcI2wYAACEMGWkEgL5iAkYCQOaZPiJEckJOIAiRBAChh8gPDBhggFPHAkEVoQgC

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:b9000000ffffffff
Perceptual Hash:d25aa9ade129ab86
Difference Hash:635569d8c472cc8e
Wavelet Hash:10000000feffffff
Color Hash:#1f5593

Scan History

Scan history not available

Unable to load historical scan data