Maskify.Core 1.0.0

Maskify - Sensitive Data Masking Library

A simple, powerful, and efficient way to mask sensitive data.

Maskify is a powerful and easy-to-use library for masking sensitive data such as Brazilian documents (CPF, CNPJ) and emails. It also allows you to mask any other type of information through highly customizable, generic methods.

Features

• CPF Masking: Masks CPF numbers, with or without formatting.
• CNPJ Masking: Supports CNPJ formatting, allowing input with or without mask.
• Email Masking: Partially hides email addresses, preserving domain integrity.
• Generic Masking Method: Allows you to mask any type of sensitive data, such as phone numbers, addresses, and more.

Installation

You can install the package directly from NuGet:

dotnet add package Maskify

Or visit the NuGet package page: Maskify.Core on NuGet

Usage

1. Mask CPF

using Maskify.Core.Libray;

string cpf = "000.000.000-00";
string maskedCpf = Masker.MaskCPF(cpf);
Console.WriteLine(maskedCpf); // Output: ***.***.***-00

2. Mask CNPJ

using Maskify.Core.Libray;


string cnpj = "00.000.000/0000-00";
string maskedCnpj = Masker.MaskCNPJ(cnpj);
Console.WriteLine(maskedCnpj); // Output: **.***.***/****-00

3. Mask Email

using Maskify.Core.Libray;


string email = "user@example.com";
string maskedEmail = Masker.MaskEmail(email);
Console.WriteLine(maskedEmail); // Output: use****@example.com

4. Mask Any Other Data

In addition to specific methods for CPF, CNPJ, and email, you can mask any type of data using the generic method:

using Maskify.Core.Libray;


string sensitiveData = "My confidential info";
string maskedData = Masker.Mask(sensitiveData, 5, 3, '*');
Console.WriteLine(maskedData); // Output: ***** confidential ****

Parameters:

• char: Character used for masking (e.g., * or #).
• startPosition: Number of characters to keep visible at the start.
• length: Number of characters to mask after the start position.

Customization

You can customize the mask character, the number of visible digits, and much more. This makes Maskify a flexible solution for your data protection needs.

Contributing

Feel free to contribute to the project by submitting pull requests or issues on our GitHub repository. We welcome contributions that improve performance, add new features, or enhance the documentation.

License

This project is licensed under the terms of the MIT License.