Daily Dose of Malware

In Malware Research, Model Training and evaluation you always are in the need of Fresh Malware Samples. We created a tool to automate this process, and provide Researchers Fresh Malware Samples. Our vision is this tool will help democratize the development of AI models against Malware.

Read more: Daily Dose of Malware

Malware Detection in AI is not a new field. Theres a reasonable amount of Research done in this field. If you search in Google Scholar, You will find many research papers on “Static Malware Analysis using AI”.

We have a repository where we have short listed some promising models for Static Malware detection using conventional AI Methods such as Random Forest. You can find the link here: https://github.com/Anti-Malware-Alliance/research-papers

One recurrent problem is most of this research is a “point in time”. Overtime as techniques evolve, Model performance deteriorate, and new samples are required along with retraining and feature engineering of the models. For this is necessary a source of Fresh Malware Samples.

If you look at Kaggle theres a fair amount of Dataset and Notebooks on this topic. However this are both “one point on time”

We decided to write a tool, to automate the collection of Fresh Malware Samples. We called it:

Your Daily Dose of Malware. You can find the tool in GitHub and Pipy.

The tool aggregated multiple systems that also aggregated Malware Samples. Most of this Systems require the user to create an API key. We collect samples for the backend systems that the user has provided API Keys for.

We use this tool as the base of our Evaluation Pipelines for other engines, and our own detection engines.

Check out the Tool, and provide us with feedback.

Join the Alliance!