This blog post presents a machine learning (ML) approach to solving an emerging security problem: detecting obfuscated Windows command line invocations on endpoints. We start out with an introduction to this relatively new threat capability, and then discuss how such problems have traditionally been handled. We then describe a machine learning approach to solving this problem and point out how ML vastly simplifies development and maintenance of a robust obfuscation detector. Finally, we present the results obtained using two different ML techniques and compare the benefits of each.

https://www.fireeye.com/blog/threat-research/2018/11/obfuscated-command-line-detection-using-machine-learning.html