Security and Microservices

Get started with security for your cloud native Java Microservices application

Content:

Overview
1 - Setup the work environment
2 - Setup Istio
3 - Istio Ingress gateway via HTTPS/TLS
4 - Setup Keycloak
5 - Deploy the microservices to K8s
6 - Strict mTLS
7 - Istio Authorization
8 - Authentication in the Vue.js fronted
9 - Authorization in Quarkus app
Setup locally

6 - Secure microservices with strict mTLS

Istio uses Mutual authentication with Transport Layer Security (mTLS) to secure the communication between microservices without requiring application code changes. Security is provided by authenticating and encrypting communication paths within the cluster. This is becoming a common security and compliance requirement. Delegating communication security to Istio (as opposed to implementing TLS in each microservice) ensures that your application will be deployed with consistent and manageable security policies.

This exercise will cover only a part of the Istio security features. The Istio documentation has a lot more information.

Istio provides each Envoy sidecar proxy with a strong (cryptographic) identity, in the form of a certificate created by Istios own Certificate Authority (CA).

This identity is based on the microservice’s service account and is independent of its specific network location, such as cluster or current IP address. This is called Secure naming. Envoys then use the certificates to identify each other and establish an authenticated and encrypted communication channel between them.

Istio is responsible for:

When an application microservice connects to another microservice, the communication is redirected through the client side and server side Envoys. The end-to-end communication path is:

This includes the Istio Ingress for incoming (and the Istio Egress for outgoing) connections. Your Kubernetes cluster may/will have its own ingress but this ingress is not paired with an Envoy sidecar and therefore is not able to directly participate in secure and encrypted communications.

mTLS is enabled by default for the communication between Envoys but it is enabled in permissive mode. This means that a microservice outside of the Istio Service Mesh, one without a Envoy proxy, can communicate with a microservice within the Service Mesh. This allows you to bring your microservices into the Service Mesh and then gradually turn on and test security.

TASK 1: Test permissive mode

In this task we access the Web-API service using the services nodeport, the IP address of a worker node, and unencrypted HTTP, effectively bypassing the Istio Ingress This is only possible because Istio is still using mTLS in permissive mode.

Step 1: Create a access-token

We need a JSON Web Token (JWT) to access the service:

export access_token=$(curl -d "username=alice" -d "password=alice" -d "grant_type=password" -d "client_id=frontend" --insecure https://demo.k8s.local/auth/realms/quarkus/protocol/openid-connect/token  | sed -n 's|.*"access_token":"\([^"]*\)".*|\1|p')
echo $access_token

Note: REMEMBER that an access-token is only valid for 60 seconds ;-). You need to be quick with the next steps otherwise the token will already be involid!

Step 2: Get the URL of the Web-API Microservice

export webapi=$(minikube service web-api --url)
echo $webapi

Step 3: Use no TLS, just HTTP to get the articles from the Web-API Microservice

curl -i $webapi/articles -H "Authorization: Bearer $access_token"

Example output:

HTTP/1.1 200 OK
cache-control: no-cache
content-length: 1663
content-type: application/json
x-envoy-upstream-service-time: 27
date: Fri, 19 Mar 2021 14:40:24 GMT
server: istio-envoy
x-envoy-decorator-operation: web-api.default.svc.cluster.local:8081/*

[{"authorBlog":"","authorTwitter":"","title":"Blue Cloud Mirror — (Don’t) Open The Doors!","url":"https://haralduebele.blog/2019/02/17/blue-cloud-mirror-dont-open-the-doors/"},{"authorBlog":"","authorTwitter":"","title":"Recent Java Updates from IBM","url":"http://heidloff.net/article/recent-java-updates-from-ibm"},******* "title":"Three awesome TensorFlow.js Models for Visual Recognition","url":"http://heidloff.net/article/tensorflowjs-visual-recognition"},{"authorBlog":"","authorTwitter":""]

As result of the last command you can see an HTTP status of 200 which means OK and the correct result, a list of blog articles as a JSON object.

This is not totally unsecure since we needed an access token (JWT) to make the REST call but we were able to access the service using http only on port 80. Somebody with access to the cluster and the required skills could stage a man-in-the-middle attack and read the data because it is not encrypted.

We are going to change this in the next step.

TASK 2: Set mTLS to strict in default namespace and for services

By switching mTLS to strict mode it is impossible for external traffic to bypass the Istio Ingress. External traffic means external to the Kubernetes cluster (coming from the outside) or external to the default namespace, i.e. not being part of the servie mesh.

This is the reason why we installed Keycloak into the default namespace: that way it is part of our service mesh and included in the mTLS “dance” automatically. In a real world example you would most likely use a different approach.

Step 1: The following command creates a PeerAuthentication policy for the ‘default’ namespace.

kubectl apply -f mtls.yaml

This enforces mTLS in the ‘default’ namespace. So simple!

Step 2: Create a new access-token and invoke the Web-API Microservice with HTTP again

As you will see, you can no longer access the service, even if you know its NodePort and the external IP of a Kubernetess worker node.

Now everything is secure.

If you check the Cloud Native Starter frontend in the browser, nothing should have changed because it already used enrypted paths:

This is the result of your work so far:


Continue with 7 - Istio Authorization