TECHNICAL TRAININGS

Fuzz Your Code, Crash Your Fears!

Advanced Fuzzing and Crash Analysis Training

Training Level: Advanced
Duration: 3 Days

This class is designed to introduce students to the best tools and technology available for automating vulnerability discovery and crash triage with a focus on delivering a practical approach to applying this technology in real deployments.

Through an applied understanding of introductory program analysis and binary translation, techniques for finding various bug classes and methods for improved crash debugging will be discussed.

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Stay ahead of the curve!

Machine Learning Security Training

Training Level: Basic; Intermediate
Duration: 3 Days

Machine learning / Deep learning is under exponential growth these days. Businesses, Academia, and tech enthusiasts are really hyped about trying out Deep learning to solve their problems. A lot of students, professionals, and researchers are driven to learn this new cool tech. Just like every other technology, ML comes with awesome applications topped with some serious implications.

This training course has been specially designed for security professionals to understand, build and hack Machine Learning applications. The course is divided into two parts, ML4SEC & SEC4ML. ML4SEC will focus on nitty-gritties of building ML applications. Then learn to hack them in the SEC4ML part.

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Hack the IoT: Practical Tips to Conquer your friends' smart devices

Practical IoT Hacking Training

Training Level: Basic; Intermediate
Duration: 3 Days

“The great power of Internet of Things comes with the great responsibility of security”. Being the hottest technology, the developments and innovations are happening at a stellar speed, but the security of IoT is yet to catch up. Since the safety and security repercussions are serious and at times life threatening, there is no way you can afford to neglect the security of IoT products.

“Practical Internet of Things (IoT) Hacking” is a unique course which offers security professionals, a comprehensive understanding of the complete IoT Technology suite including, IoT protocols, sensors, client side, mobile, cloud and their underlying weaknesses. The extensive hands-on labs enable attendees to identify, exploit or fix vulnerabilities in IoT, not just on emulators but on real smart devices as well.

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Mastering BLE: Dive into the World of Bluetooth Low Energy with Hands-On Hacking

Practical Bluetooth Low Energy Security Training

Training Level: Beginner
Duration: 3 Days

Bluetooth Low Energy is one of the most common and rapidly growing IoT technologies. We are immersed in surrounding BLE signals: COVID contact tracing, beacons, wearables, TVs, home appliances, toothbrushes, sex toys, light bulbs, smart locks, electric scooters, cars, medical devices, crypto wallets, 2FA, banking tokens, ATMs – to name just a few. Unfortunately the prevalence of technology does not come with security. Alarming vulnerabilities are revealed day by day – not only in individual devices’ implementations, but also generic: in the Bluetooth specification itself. And yet, the knowledge on how to comprehensively assess security of such devices still remains uncommon. This training aims to fill this gap, with the best possible – hands-on approach. 

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Outsmart the Threats: A Hands-On DevSecOps Training Experience

Hands-On DevSecOps Training

Training Level: Basic; Intermediate
Duration: 3 Days

DevSecOps is a software development methodology that integrates security into every phase of the SDLC. By adopting DevSecOps, organizations can build more secure applications and reduce the risk of data breaches and other cyber attacks.

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TECHNICAL LABS

Fancy cars, great vulnerabilities

Automating & Tooling Your Own CAN Hacking Tool on a Cheap Car Hacking Adventure

Lab Level: Medium
Duration: 4 Hours

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Ever wondered if a fridge is hackable?

Firmware Emulation with Qiling Framework

Lab Level: Beginner
Duration: 4 Hours

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Attacker Behaviour Analysis Base on Attack Vector Analysis

Lab Level: Beginner
Duration: 4 Hours

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Network Detection Using Zeek

Lab Level: N/A
Duration: 4 Hours

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JupyterLab for Network Analysis

Lab Level: N/A
Duration: 4 Hours

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