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This course covers AI-augmented static and dynamic analysis for Android apps. It includes modules on Jadx, Ghidra, Frida, and AI tools like GPT-4 and Claude. The course culminates in a hands-on project analysing a complex APK.

In this course, students will gain the necessary hands-on experience, knowledge, and confidence to conduct automated program analysis at scale using machine learning.

This training guides through the field of Linux kernel exploitation. In a series of practical labs, the training explores the process of exploiting kernel bugs in a modern Linux distribution on the x86-64 architecture.

In QEMU Internals and Fuzzing: From IoT to iPhone, participants will learn about the fundamentals of emulation and fuzzing, how to emulate a custom device in QEMU from the ground up, and how to instrument it for fuzzing and vulnerability research.

Learn Windows vulnerability research techniques through a CVE-guided approach. Master patch diffing, reverse engineering, and vulnerability analysis using Ghidra SRE. Gain confidence and competence in systematically researching, analyzing, and exploiting complex Windows vulnerabilities.