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malware-analysis


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Malware analysis

Malware analysis
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Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Contributing
  5. License
  6. Contact

About The Project

Project

This project conducts a comprehensive analysis of malware signatures and their correlation with known CVEs, providing valuable insights through data visualization and statistical analysis. The goal is to aid cybersecurity efforts in identifying and understanding common vulnerabilities exploited by malware.

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Built with

Python Pydantic isort Black Ruff MyPy pre-commit GitHub Actions Poetry Pycharm Visual Studio Code Markdown License: MIT Pandas Numpy Matplotlib Adobe Acrobat Reader

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Getting started

Prerequisites

Installation

  1. Clone the repository

    git clone https://github.com/jpcadena/malware-analysis.git
  2. Change the directory to root project

    cd malware-analysis
  3. Install Poetry package manager

    pip install poetry
  4. Install the project's dependencies

    poetry install
  5. Activate the environment

    poetry shell

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Usage

  1. Replace the real datasets in the data/raw directory as the ones uploaded are small samples with 5 rows.
  2. Execute with console
    python main.py
  3. For more information, check the report.pdf file and the small summary with the insights required there is an analysis.txt file as required.

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Contributing

GitHub

Please read our contributing guide for details on our code of conduct, and the process for submitting pull requests to us.

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Security

For security considerations and best practices, please refer to our Security Guide for a detailed guide.

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Code of Conduct

We enforce a code of conduct for all maintainers and contributors. Please read our Code of Conduct to understand the expectations before making any contributions.

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License

Distributed under the MIT License. See LICENSE for more information.

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Contact

  • LinkedIn

  • Outlook

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malware-analysis's People

Contributors

dependabot[bot] avatar jpcadena avatar

Watchers

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