BlackHat USA - A Practical Approach To Breaking & Pwning Kubernetes Clusters

Abstract

The adoption of Kubernetes use in production has increased to 83% from a survey by CNCF. Still, most of the security teams struggle to understand these modern technologies.

In this real-world scenario-based training, each participant will be learning Tactics, Techniques, and Procedures (TTPs) to attack and assess Kubernetes clusters environments at different layers like Supply chain, Infrastructure, Runtime, and many other. Starting from simple recon to gaining access to microservices, sensitive data, escaping containers, escalating to clusters privileges, and even its underlying cloud environments.

By end of the training, participants will be able to apply their knowledge to perform architecture reviews, security assessments, red team exercises, and pentesting engagements on Kubernetes Clusters and Containersed environments successfully. Also, the trainer will provide step by step guide(Digital Book) with resources and references to further your learning.

Date
Jul 31, 2021 12:00 AM — Aug 3, 2020 12:00 AM
Location
Virtual
Rewanth Tammana
Rewanth Tammana
Senior Security Architect

Rewanth Tammana is a security ninja, open-source contributor, and an independent consultant. Previously, Senior Security Architect at Emirates NBD (National Bank of Dubai). He is passionate about DevSecOps, Cloud, and Container Security. He added 17,000+ lines of code to Nmap (famous as Swiss Army knife of network utilities). Holds industry certifications like CKS (Certified Kubernetes Security Specialist), CKA (Certified Kubernetes Administrator), etc. Rewanth speaks and delivers training at multiple international security conferences around the world including Black Hat, Defcon, Hack In The Box (Dubai and Amsterdam), CRESTCon UK, PHDays, Nullcon, Bsides, CISO Platform, null chapters and multiple others. He was recognized as one of the MVP researchers on Bugcrowd (2018) and identified vulnerabilities in several organizations. He also published an IEEE research paper on an offensive attack in Machine Learning and Security. He was also a part of the renowned Google Summer of Code program.

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