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

Submitted: Jul 14, 2026, 4:51:51 PMCompleted: Jul 14, 2026, 4:53:15 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

High‑risk site impersonating Itaú and harvesting personal data; likely a phishing kit.

Risk Factors (3)
Brand impersonation of a major financial institution
Personal data harvesting form on unknown‑age subdomain
Unranked domain on a public hosting platform
Safety Factors (1)
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 8 to 3
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 and includes subdomain 'danrusman-cadastro-pessoal'. The second-level label 'netlify' is 7 characters long holding 2 vowels versus 5 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

3.27s
Total Load Time
11 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 property80% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

real estate property
80%
adult content
67%
finance banking
58%
healthcare medical
32%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
111--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19B81FE101BF888A5D0A244995EF5E9212FC7EA139608F444F3EC2FD50FC3EC58AA766C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:P3XJ81RDZMC9Mb9LMyZCD965XC1pLdGGJ+j:PX21xZMC949HCD965XCnLpwj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4080:wAACAAoQAQhQAAKgoABUQAAAIAwAQAACBICXAgAAAixCEiAACgIjUQAAAwoAAKAQCMMEwFEEAoAJBAAUIAQwoAAAQkEDgIgA

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:#a0d279

Other Hashes

Crop Resistant:090db3a1a5b3b3b3

Scan History

Scan history not available

Unable to load historical scan data