Hunting Trojans with AST Transformers and Machine Learning
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore advanced malware detection techniques in this 55-minute conference talk from Hack In The Box Security Conference, where malware researcher Stanislav Rakovsky delves into the Python ecosystem's security challenges and sophisticated detection methods. Learn how graph theory and machine learning principles apply to real-world cybersecurity as you discover the intricate obfuscation techniques employed by malicious actors in Trojan-infected Python projects. Master the application of AST Transformers for counteracting these threats and understand how machine learning algorithms can be leveraged to effectively identify and analyze malicious projects. Gain valuable insights from Rakovsky's extensive experience at Positive Technologies, where he specializes in APT tracking and open-source malware investigation.