CrackDash

A lightweight tool for blazing-fast ZIP and RAR password cracking using password list!

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CrackDash

A lightweight tool for blazing-fast ZIP and RAR password cracking using password list!

Table of Contents

Overview

CrackDash is a lightweight and versatile password cracking tool designed for blazing-fast ZIP and RAR file password recovery using password lists. It provides an easy-to-use command-line interface for security researchers, penetration testers, and ethical hackers.

Features

  • Cross-Platform Compatibility: Works on Windows, Linux, and macOS.
  • ZIP and RAR Support: Crack passwords for both ZIP and RAR file formats.
  • Optimized Brute-Force: Efficiently tests passwords from user-provided password lists.

- User-Friendly Interface: Simple command-line interface for ease of use.

Installation

Prerequisites

  • Python 3.x
  • rarfile (for RAR support)
  • You need a Password List to use this Script !
  • Sample Password List: Show ### Installation Steps Linux / macOS:

  1. Clone the repository:

    git clone https://github.com/0x00er/CrackDash.git

  2. Install dependencies:

    pip install rarfile

  3. Navigate to the project directory:

    cd CrackDash

  4. Run CrackDash:

    python CrackDash.py

Windows:

  1. Install Python:

    • Download and install Python 3.x from python.org.
    • During installation, make sure to check the option to add Python to the system PATH.

  2. Clone the Repository:

    git clone https://github.com/0x00er/CrackDash.git

    Usage

  3. Launch CrackDash:

    python CrackDash.py

  4. Enter File Path and Password List:

- Enter the path to the ZIP or RAR file you want to crack.
- Provide the path to the password list.
  1. Wait for Results:
- CrackDash will attempt to crack the password using the provided password list.
- If successful, the password will be displayed, along with relevant statistics.
  1. Exit the Program:
- Choose '0' to exit the program.

Support and Contribution

If you encounter any issues, have questions, or want to contribute, feel free to open an issue or submit a pull request. Contributions are welcome!

License

This project is licensed under the MIT License.

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