Instructors: Sophia D'Antoine and Jordan Wiens
Dates: May 30-June 2 2022
Location: Hilton Double Tree
Capacity: 25 Seats
This four-day course trains students to do sophisticated program analysis using Binary Ninja and the Binary Ninja Python API for the purpose of vulnerability research with the goal of improving auditing processes, improving ability to identify interesting code paths, and encoding bug primitives.
In the class, students will learn Binary Ninja inside and out by extending its analysis capabilities to support a custom architecture which is difficult to analyze manually. Students will also leverage the Binary Ninja plugin architecture to identify vulnerabilities in a machine architecture independent way. After taking this course students will have experience working with the least intuitive and even some undocumented parts of Binary Ninja to create powerful program analysis tools which can be used across architectures.
Students should have a basic understanding of binary reverse engineering.
Students should have workstations or laptops with Binary Ninja and VMware workstation 15 Pro or Fusion 11 Pro installed with a clean install of Ubuntu 18.04.
Sophia d’Antoine is the founder of Margin Research, focusing on vulnerability research and program analysis. She has spoken at more than thirteen global security conferences worldwide including RECon Montreal, Blackhat, and CanSecWest on topics from automated exploitation, program analysis, machine learning, and hardware hacking. Her keynotes have included topics such as exploiting hardware CPU optimizations. Currently, She sits on the program committee for Usenix WiSec and have been on multiple peer review panels in the past. In the past, she has worked extensively on embedded devices and other unique architectures. Additionally, Sophia is the “Hacker in Residence” at NYU and enjoy assisting in hosting CTFs and other hacking competitions.
Her publications on automated exploitation, programmatic vulnerability discovery, and security focused compiler development are listed below. The basis for this is effort has been through static analysis, LLVM, and binary lifters, such as Binary Ninja.
Jordan Wiens used to play a lot of CTF, even winning some like DEF CON a handful of times but then they got hard and now he mostly likes to talk about them and make challenges. Professionally, he's been a network security engineer, vulnerability researcher, engineering manager, and for the last five years small business founder with two co-founders of Vector 35, makers of Binary Ninja. He's given trainings over two decades across the academic, government, and commercial sectors on reverse engineering and vulnerability research and has presented at conferences like DEF CON, BlueHat, ShmooCon, Insomni'hack, SAS, and many others.
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