Security Scan Report: atendimentopj.vercel.app

Redirected to:
https://atendimentopj.vercel.app/login.html
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 2 domains to perform 9 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://atendimentopj.vercel.app

Effective URL:
https://atendimentopj.vercel.app/login.html
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed phishing: fake Bradesco Net Empresa login on a vercel.app subdomain harvesting bank username and password, flagged by Google Safe Browsing for social engineering. Do not enter credentials.

Risk Factors (5)
Safe Browsing Social Engineering (phishing) detection on the scanned page
Impersonation of the Bradesco banking brand on an unrelated vercel.app subdomain
Credential-harvesting login form (user + password) for bank access
Hosting-platform tenant with unknown creation date and no domain reputation
Reassurance text claiming data 'stays in this browser' while capturing bank credentials
Domain age information unavailable

Details

Page Title

Bradesco Net Empresa · Acesso

Scan Type

public

Domain Name Analysis

The domain name 'atendimentopj.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'atendimentopj'. The core label 'vercel' covers 6 characters split between two vowels and 4 consonants. Word splitting yields 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

© bradesco Net Empresa Acesso ao sistema Entre com suas credenciais para continuar Usuá Digite seu usuário Senha Digite sua senha Acesso interno dos atendentes. Seus dados ficam neste navegador....

Page Load Overview

0.38s
Total Load Time
165 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:pt-BR
Text Length:196 chars
Detector Agreement:90%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
123.36.162.223Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
95--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E413F67B8E34C3301A791DA59975B083CD88113C726C900B6EC19459FE4E83EE6BAC8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:I4MySkg3Ubq1Knv1rRgIGoUJB5Dy0k+DjIeAceYso:Il/kg3Fcv1rRynRfvnfARo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2239:AIAAAADAggAICAAAgABgRAIAERCFQAgCIAQAwiAQAAAAAgCAAADCAQAAAAECAQAgAJABAEIAgAEAAQABgAEBABAAAAIBgIAA

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:ffffe7eee4f0c080
Perceptual Hash:f398cc6633998c66
Difference Hash:00100c084c080000
Wavelet Hash:ffffe4e8e0d88000
Color Hash:07000000007

Other Hashes

Crop Resistant:00100c084c080000

Scan History

Scan history not available

Unable to load historical scan data