An Internet company has been promoting a competition that challenges researchers to bypass machine learning models for malware detection. SECRET has been participating this challenge and our members (Fabrício Ceschin and Marcus Botacin) were able to bypass all models! Want to know more about how to code a binary that looks unsuspicious but that carries a malicious payload? Check out the github below.
Another year, another edition of the Machine Learning Security Evasion Competition (MLSEC) took place! If you don’t know what we are talking about, it is a competition promoted by some well-known Internet companies (CUJO AI, Read more…
If you read any of the SECRET papers, it is not a SECRET for you that using Machine Learning (ML) to detect malware is a challenging endeavor. In one of these papers, we presented the Read more…
Last year we were breaking machine learning models for malware detection. We were able to bypass all the models of the competition, finishing in the second position — unfortunately, it was not enough to win Read more…