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South Africa National Cybersecurity CTF 2021

Last updated 24/8/2021

In cooperation with Trend Micro, as a strategic partner, CyberTalents is organizing South Africa National Cybersecurity CTF for the first time consecutively where participants can demonstrate their technical abilities. The winning team is eligible to compete in regional and international CTFs representing South Africa.

The CTF will be a Jeopardy Style CTF where every team will have a list of challenges in different categories like Reverse Engineering, Web Security, Digital Forensics, Network Security and others. For every challenge solved, the team will get a certain amount of points depending on the difficulty of the challenge. The team who will get the highest score at the end of the day will be the winning team.

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Vulnerability Discovery and Exploitation

This module provides an introduction to the discovery and exploitation of vulnerabilities in software systems. Taking on the attacker perspective, we begin by reasoning about the circumstances that turn seemingly minor programming flaws into gateways for unauthorized access. We learn how to uncover attack surface, determine trust relationships, review code for design and implementation flaws and demonstrate their exploitability.

With these practical experiences in mind and an appreciation for the difficulty of the task, we proceed to focus on methods for automating parts of the discovery process, both via static and dynamic program analysis. We learn about fuzz testing and instrumentation, static analysis of control- and data flow, the usefulness of type systems for vulnerability discovery, and variant analysis based on intermediate graph representations of code.

Mode of Presentation

The lecture will be given online (using MS Teams) and we will pause at regular intervals for questions and discussion. Recordings will be made available upon request.

For more information navigate to the schedule.

Evaluation

Your final mark for the course will be determined as follows:

  • There will be 5 assignments. Each assignment requires a plagiarism declaration to accompany the hand-in and plagiarism will be checked for and enforced.
  • Each of these assignments will be weighted equally, but may be adjusted if a curve is required due to marks being too low.
  • If marks are too high, there may be an exam or additional assignment - but it's more likely that the last assignments will get more technical if this begins to become the case.

Assignments will usually have both a practical and written aspect. Each topic will approach the covered themes from various angles to cover the different ways one can get into software vulnerability discovery e.g. auditing, academic, pentester, etc.

Outcomes

After course completion, students should:

  • be able to identify attack surface and trust relationships in software systems
  • understand how security impact of vulnerabilities is determined
  • be able to review system designs for security-relevant flaws
  • spot typical web application implementation vulnerabilities
  • discover system code vulnerabilities via source code review
  • discover vulnerabilities by reverse engineering binary code
  • be able to write basic proof-of-concept exploits
  • know the capabilities and limitations of static/dynamic analysis
  • be capable of running basic fuzzing campaigns and triaging results
  • be aware of the building blocks of a static analysis pipeline
  • know common intermediate code representations and how to extract them
  • understand algorithms for static data flow analysis
  • be able to automate variant analysis with static analysis primitives

Prerequisites

Prior security knowledge is not required but a rough idea of how web applications work is assumed. It is advantageous to have a basic knowledge of C and assembly language (any platform), however, a short primer is also given as part of the lecture.

Supplementary material can be found under resources.

Course Staff

Lecturer

Fabian Yamaguchi

📧 fabs@sun.ac.za

Assistant

David Baker Effendi

📧 dbe@sun.ac.za