Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Misconfigurations in infrastructure as code (IaC) can be just as dangerous as vulnerabilities in code. Small mistakes in configuration can lead to the sensitive data being readable on the internet, or private endpoints and dashboard accessible to the anonymous users and abused as the initial point of compromise. Recent security research findings indicate the rise in malware targeting the Kubernetes platform which showcases the need for secure configuration.

When you start scanning your container images, it can be disconcerting to discover that you have large numbers of vulnerabilities. Below is a scan I did last week on a vulnerable node image that I built. While a fairly extreme example, you can see that this image out of the box is showing as having over 800 vulnerabilities in it.

Container orchestration platform Kubernetes announced in December 2020 that its third and final release, Kubernetes v1.20, would deprecate dockershim and subsequently Docker as a container runtime. This deprecation has brought multiple changes that admins must be aware of and accordingly respond to.

Microsoft has discovered a new large-scale attack targeting Kubeflow instances to deploy malicious TensorFlow pods, using them to mine Monero cryptocurrency in Kubernetes cluster environments. Kubeflow is a popular open-source framework often used for running machine learning tasks in Kubernetes. TensorFlow, on the other hand, is an open-source machine learning platform used for implementing machine learning in a Kubernetes environment.

By implementing these vulnerability assessment and vulnerability management best practices you will reduce the attack surface of your infrastructure. We’re human, and many things we build aren’t perfect. That’s why we take our cars for a periodic inspection, or why we have organizations certifying that products are safe to use. Software is no different.

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