Applied Machine Learning for Data Exfil and Other Fun Topics

Explore applied machine learning techniques for security applications in this 44-minute Black Hat conference talk. Gain hands-on experience applying machine learning to diverse security problems, including offensive and defensive use cases. Follow along as the speakers walk through the entire pipeline from idea to functioning tool, explaining each step concretely. Learn about feature extraction, scikit-learn, decision trees, and see demonstrations of tools like advanced obfuscation for data exfiltration, network mapping, and botnet panel classification. Access released tools, source code, and datasets to reproduce the research and examples independently. Bridge the gap in understanding machine learning applications for security researchers, analysts, and enthusiasts.

Introduction
Welcome
Goals
About Silence
Tools
Machine Learning
Feature Extraction
Scikitlearn
Features
Vectors
Demo
Automatic Method
Decision Trees
Botnet Panel Classification