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.

You see the headlines, and perhaps, ‘thank goodness it wasn’t us’ flickers through your mind. An overly permissive web server exposes 100 million+ consumer credit applications, or an S3 bucket leaves hundreds of millions of user records open to the public. A nightmare scenario for any CISO and their cloud security team!

We recently released the automated Falco rule tuning feature in Sysdig Secure. Out-of-the-box security rules are a double-edged sword. On one side, they allow you to get started right away. On the other, it can take many working hours to learn the technology, configuration, and syntax to be able to customize the rules to fit your applications. Falco’s default security rules are no different.