Security Scan Report: danrusman-cadastro-pessoal.netlify.app

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Submitted: Sep 27, 2026, 12:50:42 AMCompleted: Sep 27, 2026, 12:52:14 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Banco Itaú checking-account page on a free Netlify subdomain harvesting CPF and personal data — clear brand impersonation; do not submit any information.

Risk Factors (4)
Impersonation of a major bank (Itaú) on a non-official netlify.app subdomain
Data-collection form capturing CPF and full personal/address/phone details under the guise of opening a bank account
Free shared-hosting subdomain with unknown actual creation date
Unranked domain not present in Cisco Umbrella top 1M
Domain age information unavailable

Details

Page Title

Cadastro Pessoal

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'danrusman-cadastro-pessoal.netlify.app' is registered with subdomain 'danrusman-cadastro-pessoal'. The registrable portion 'netlify' spans 7 characters split between 2 vowels and five consonants. Tokenizing the label suggests three words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://danrusman-cadastro-pessoal.netlify.app/

Page Load Overview

2.83s
Total Load Time
25 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:366 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property79% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

real estate property
79%
adult content
70%
finance banking
51%
healthcare medical
29%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
635.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
563.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
112--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F91F2141BF884A590A244995EF5E9211FC7F617D708E444F2DC1FD50F83EC58AA7A5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:9cTGhwyaeC/c3XJ81RDZMC9Mb9LMyZCD965XC1pLdGGJ+j:6TGEBuX21xZMC949HCD965XCnLpwj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4421:5ABQEGAIAANIABAhAAASQBgAkE8gARhgphgEEACAISJADEAACIAQELgJCggg4EA8AIAoQCAwAMgB4ACAEAAH0AQAYgAALIIQ

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:0000181010181818
Perceptual Hash:8c77b973668c9922
Difference Hash:090db3a1a5b3b3b3
Wavelet Hash:21393d31313d3d3d
Color Hash:#ac53a3

Other Hashes

Crop Resistant:090db3a1a5b3b3b3

Scan History

Scan history not available

Unable to load historical scan data