Security Scan Report: receber-mu.vercel.app

Submitted: Completed: publiccompleted
This website contacted 3 IPs 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://receber-mu.vercel.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake 'forgotten balances' page impersonating Banco do Brasil on a free vercel.app subdomain, targeting retirees with fabricated payouts and a CPF lookup lure. Do not enter personal data.

Risk Factors (5)
Brand impersonation of Banco do Brasil on a non-official domain
Hosted on a free instant-provisioning platform subdomain (vercel.app) with unknown creation date
Financial data collection/lead-in (CPF lookup) aimed at the elderly
Fabricated balance amounts and inflated user counts to induce urgency
Unranked domain with no reputation; network IDS flagged actor-abused cloud hosting usage tied to vercel.app
Domain age information unavailable

Details

Page Title

Consulta de Valores Esquecidos - Banco do Brasil

Scan Type

public

Domain Name Analysis

The domain 'receber-mu.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'receber-mu'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and four consonants. Breaking it apart gives 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://receber-mu.vercel.app/

Page Load Overview

0.18s
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
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
33--

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:#4e1f93

Other Hashes

Crop Resistant:ccabb2cf4db3ffff

Scan History

Scan history not available

Unable to load historical scan data