Security Scan Report: valores-esquecidos-nine.vercel.app

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://valores-esquecidos-nine.vercel.app/

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Fake Banco do Brasil 'valores esquecidos' page on a free vercel.app subdomain, using a retiree-targeted payout lure. No credential form was captured, but the brand impersonation itself makes it high risk.

Risk Factors (5)
Impersonation of Banco do Brasil, a major financial institution, on a non-official vercel.app subdomain
Deceptive 'forgotten money / saldos a receber' pretext aimed specifically at retirees over 60
Unverifiable payout figure and fabricated user counts used as bait
Disposable shared-hosting tenant with no attributable registration date or domain reputation
Redirect chain likely continues past the landing 'Consultar agora' button, which is a typical credential/data-harvesting funnel entry point
Domain age information unavailable

Details

Page Title

Consulta de Valores Esquecidos - Banco do Brasil

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'valores-esquecidos-nine.vercel.app' is registered and includes subdomain 'valores-esquecidos-nine'. The second-level label 'vercel' is 6 characters long with 2 vowels and four 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

Security scan screenshot of https://valores-esquecidos-nine.vercel.app/

Page Load Overview

0.21s
Total Load Time
35 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:567 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain50% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
50%
adult content
46%
finance banking
42%
government public service
34%
technology software
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
31--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13BD1745B96E70042B81394743FB66B5716548903C24BCE7E7FCD638CCF8D58599A238C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:JkUgkszb6PGWMrwG2LFkmK+KpGXXv89xHCxgOD908bCU1xFbJoWFCUh:9NTF9HE0rF+W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6500:NAAFEQigTFgLAFQICQEIFAKAAQ1iEQABYgsIZhq2ADlCJBQgRwiAzJoIySIKSBCAFACCALBrgGBAC2KQYJnQZEAoEJIAEGBI

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:ff081905011b0307
Perceptual Hash:88c8d8f3f2d0dcd8
Difference Hash:ccabb2cf4db3ffff
Wavelet Hash:ff191b0307070f1f
Color Hash:#8a1f93

Other Hashes

Crop Resistant:ccabb2cf4db3ffff

Scan History

Scan history not available

Unable to load historical scan data