Overview
Explore a cutting-edge machine learning approach to detecting Living off the Land (LoL) techniques in this DefCamp 2021 conference talk. Dive into the development of a ML-based classifier designed to identify and hunt for LoL attacks, which leverage legitimate system tools and processes for malicious purposes. Learn about the challenges faced in detecting these stealthy techniques and how machine learning can be applied to enhance threat detection capabilities. Gain insights into the methodology, implementation, and effectiveness of this innovative LoL classifier, and understand its potential impact on improving cybersecurity defenses against sophisticated adversaries.
Syllabus
Hunting for LoLs (a ML Living of the Land Classifier) at DefCamp 2021
Taught by
DefCamp