WinFam Dataset

The winFam dataset is a collection that amalgamates cryptoransomware files sourced from VirusShare and Windows PE32 malware/benign files from MaleVis dataset. 
Key Features:-
File Sources
       Cryptoransomware files were sourced from VirusShare (https://virusshare.com/), a reputable repository known for its extensive collection of malware samples. Windows PE32 files were obtained from https://web.cs.hacettepe.edu.tr/~selman/malevis/, enriching the dataset with a variety of Windows executable files.
Conversion to Images
       The executable files from Cryptoransomware were converted into RGB images using the binary2image tool (https://github.com/ncarkaci/binary-to-image/blob/master/binary2image.py). This transformation allows researchers to leverage image processing techniques and neural networks for advanced analysis.
Malware Families
       The dataset comprises 26 distinct malware families and a benign family is included for comparative analysis and to facilitate the development of effective detection mechanisms. The images are split up into three folders- Train, Valid and Test.
Research Applications
        It serves as a valuable resource for the development and evaluation of deep learning models based on malware visualization.
Community Contribution
       The winFam dataset is shared with the cybersecurity community on Zenodo to encourage collaboration and knowledge-sharing. Researchers, analysts, and developers can leverage this dataset to advance the state of the art in malware analysis and cybersecurity.