Applied Machine Learning: Defeating Modern Malicious Documents

Posted on in Presentations

A common tactic adopted by attackers for initial exploitation is the use of malicious code embedded in Microsoft Office documents. This attack vector is not new, but attackers are still having success. This session will dive into the details of these techniques, introduce some machine learning approaches to analyze and detect these attempts, and explore the output in Elasticsearch and Kibana.

Evan Gaustad


Sr. Manager CSIRT, Target Corporation

Hackers & Threats Analytics Intelligence & Response

artificial intelligence & machine learning phishing security intelligence anti-malware



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