RVAsec 13

Are LLMs a revolutionary leap forward for security research—or just spicy auto-complete?

The truth lies somewhere in between. This talk cuts through the hype and offers a practical perspective that’s grounded in real-world analysis of critical bugs in widely used products. We’ll walk through our process of harnessing large language models (LLMs) for patch-diffing in the context of N-day vulnerability research. Given a vague security advisory and some complicated code diffs, can an LLM get you closer to finding the right spot in the code to dig deeper? Which models work best for this task, and why? Let’s ditch the theory and get our hands dirty with iterative experimentation. Whether you’re a seasoned pentester, applied researcher, or budding practitioner, you'll take away tactical lessons for incorporating AI into your security toolkit.

Join us for 'Unlocking Generative AI: Balancing Innovation with Security' as we navigate the complex landscape of generative AI in corporate environments. From understanding the fundamentals to exploring security threats like data poisoning and model theft, discover how large enterprises can safeguard sensitive data and AI models. Learn robust mitigation strategies to tackle these challenges head-on, ensuring a secure future for AI innovation. Don't miss this opportunity to delve into the promising yet challenging world of generative AI security.

When developing a product, software engineers often discuss the “what if?” user. What if a user builds their own frontend client? What if a user finds that embedded API key? What if a user notices that endpoint doesn’t have authorization? This talk has three real-life examples from the speaker’s perspective as the “what if?” user. Each example will delve into the motivation, the security flaws reverse engineered, and how to improve the security of each product. This talk will cover reverse engineering assets from an Android game, a waitlist to buy exercise equipment, and a Publish Subscribe system for an auction house. This talk aims to generate interest in identifying software design flaws and reverse engineering them, as well as helping teach about common security issues and practical methods of fixing them.

Deception engineering is a defence-in-depth strategy which many organisations overlook. Post achieving certain level of maturity over their infrastructure security processes, deception engineering is a great security project to enhance monitoring via high fidelity alerts and targeted knowledge of an attack in terms of where the attack's epicentre exists, what actions are the attackers taking, etc.

This session aims to share the overview of what entails when building a deception engineering charter, how to plan for deploying honeypots and honeytokens, and finally how to handle a potential incident that was detected via a honeypot.

We’re taking a fresh look at how to beat cyber attackers at their own games! It’s all about using our defender advantages wisely, controlling, constraining, and shaping the adversary’s moves before the attack even begins. We're ditching the old "Defender’s Dilemma" mindset and showing how smart defense strategies can make a huge difference. Let’s shift our thinking, use our advantages better, and boost our defense without breaking the bank.