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You're reading from  Learn Kubernetes Security

Product typeBook
Published inJul 2020
PublisherPackt
ISBN-139781839216503
Edition1st Edition
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Authors (2):
Kaizhe Huang
Kaizhe Huang
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Kaizhe Huang

Kaizhe Huang is a security researcher at Sysdig, where he researches how to defend Kubernetes and containers from attacks ranging from web attacks to kernel attacks. Kaizhe is one of the maintainers of Falco, an incubation-level CNCF project, and the original author of multiple open source projects, such as kube-psp-advisor. Before joining Sysdig, as an employee at Stackrox, Kaizhe helped build a detection data pipeline, conducted security research, and innovated detection based on machine learning. Previously, as a senior security engineer at Oracle, he helped build security products: Database Vault, Database Privilege Analyzer, and Database Assessment Tool. Kaizhe holds an MS degree in information security from Carnegie Mellon University.
Read more about Kaizhe Huang

Pranjal Jumde
Pranjal Jumde
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Pranjal Jumde

Pranjal Jumde is a senior security engineer at Brave Inc. In the security industry, he has worked on different aspects of security, such as browser security, OS/kernel security, DevSecOps, web application security, reverse engineering malware, security automation, and the development of security/privacy features. Before joining Brave, as an employee at Stackrox, Pranjal helped in the development of detection and enforcement features for the runtime detection platform. He has also worked at Apple and Adobe, where he worked on the development of features to harden various platforms. Pranjal holds an MS degree in information security from Carnegie Mellon University. He has also presented his research at different conferences, such as ACM CCS and BSides SF/Delhi.
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Hardening container images

Container image hardening means to follow security best practices or baselines to configure a container image in order to reduce the attack surface. Image scanning tools only focus on finding publicly disclosed issues in applications bundled inside the image. But, following the best practices along with secure configuration while building the image ensures that the application has a minimal attack surface.

Before we start talking about the secure configuration baseline, let's look at what a container image is, as well as a Dockerfile, and how it is used to build an image.

Container images and Dockerfiles

A container image is a file that bundles the microservice binary, its dependencies, and configurations of the microservice, and so on. A container is a running instance of an image. Nowadays, application developers not only write code to build microservices; they also need to build the Dockerfile to containerize the microservice. To help build...

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Learn Kubernetes Security
Published in: Jul 2020Publisher: PacktISBN-13: 9781839216503

Authors (2)

author image
Kaizhe Huang

Kaizhe Huang is a security researcher at Sysdig, where he researches how to defend Kubernetes and containers from attacks ranging from web attacks to kernel attacks. Kaizhe is one of the maintainers of Falco, an incubation-level CNCF project, and the original author of multiple open source projects, such as kube-psp-advisor. Before joining Sysdig, as an employee at Stackrox, Kaizhe helped build a detection data pipeline, conducted security research, and innovated detection based on machine learning. Previously, as a senior security engineer at Oracle, he helped build security products: Database Vault, Database Privilege Analyzer, and Database Assessment Tool. Kaizhe holds an MS degree in information security from Carnegie Mellon University.
Read more about Kaizhe Huang

author image
Pranjal Jumde

Pranjal Jumde is a senior security engineer at Brave Inc. In the security industry, he has worked on different aspects of security, such as browser security, OS/kernel security, DevSecOps, web application security, reverse engineering malware, security automation, and the development of security/privacy features. Before joining Brave, as an employee at Stackrox, Pranjal helped in the development of detection and enforcement features for the runtime detection platform. He has also worked at Apple and Adobe, where he worked on the development of features to harden various platforms. Pranjal holds an MS degree in information security from Carnegie Mellon University. He has also presented his research at different conferences, such as ACM CCS and BSides SF/Delhi.
Read more about Pranjal Jumde