Table of Contents
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.
-
Clone the repository
git clone https://github.com/jpcadena/malware-analysis.git
-
Change the directory to root project
cd malware-analysis -
Install Poetry package manager
pip install poetry
-
Install the project's dependencies
poetry install
-
Activate the environment
poetry shell
- Replace the real datasets in the data/raw directory as the ones uploaded are small samples with 5 rows.
- Execute with console
python main.py
- For more information, check the report.pdf file and the small summary with the insights required there is an analysis.txt file as required.
Please read our contributing guide for details on our code of conduct, and the process for submitting pull requests to us.
For security considerations and best practices, please refer to our Security Guide for a detailed guide.
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.
Distributed under the MIT License. See LICENSE for more information.
