Security Scan Report: arremata-leilao.vercel.app

Redirected to:
https://leilaocasasbahiia.vercel.app/
Submitted: Sep 28, 2026, 1:50:02 AMCompleted: Sep 28, 2026, 1:50:37 AMpubliccompleted

This website contacted 6 IPs in 2 countries across 4 domains to perform 43 HTTP transactions. The main domain is leilaocasasbahiia.vercel.app and was registered 29 years ago.

Submitted URL: https://arremata-leilao.vercel.app/

Effective URL:

https://leilaocasasbahiia.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Typosquatted Vercel page impersonating Casas Bahia with fake auction products and email/phone harvesting forms. Brand impersonation confirmed; avoid entering any data.

Risk Factors (6)
Impersonation of the Casas Bahia brand on an unofficial domain
Typosquatted hostname (casasbahiia) on the vercel.app platform
Domain change/redirect from arremata-leilao.vercel.app to leilaocasasbahiia.vercel.app
Personal-data collection forms (email + telephone) under a brand lure
Unranked domain not present in Cisco Umbrella top 1M despite claiming to be a major retailer
Implausible product catalogue and 'auction/bid' framing typical of fake shopping scams
Domain age information unavailable

Details

Page Title

Ofertas | Compra Certa Digital

Scan Type

public

Domain Name Analysis

The domain name 'arremata-leilao.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'arremata-leilao'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Segmentation suggests 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arremata-leilao.vercel.app/

Page Load Overview

1.52s
Total Load Time
2.4 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:4,878 chars
Detector Agreement:50%

Website Classification

Primary Category

entertainment media73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
73%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
764.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
7157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
764.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
764.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
436--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16153E750E27A283BE21309CDD297F37820ABB389DBCE1514761817729376D6DB83B85D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SYuFVYu+Da+UKFd3e4mAQnG6KJCMiXubLW/6skcbg6nQAtj+MohpzxzGpIxdVQvn:0N+W+ndO4mAQnGfomcbgFMz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64896:ACJ4AFLoEMVARK0hAUEAjsinwAIFwQAh0oQBEzehJcYNECy4hYDjhIeAkDhAJhkMgBccBIAMkARU4ASpkCGqAYhbYgqGAByR

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:80ffe3e1ffffe1c7
Perceptual Hash:e54c725e65697252
Difference Hash:073413d7560b938e
Wavelet Hash:0087c3e1e3ffc1c3
Color Hash:#40a6bf

Scan History

Scan history not available

Unable to load historical scan data