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envoy-authorization.md

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Envoy is a L7 proxy and communication bus designed for large modern service oriented architectures. Envoy (v1.7.0+) supports an External Authorization filter which calls an authorization service to check if the incoming request is authorized or not.

This feature makes it possible to delegate authorization decisions to an external service and also makes the request context available to the service which can then be used to make an informed decision about the fate of the incoming request received by Envoy.

Goals

The tutorial shows how Envoy’s External authorization filter can be used with OPA as an authorization service to enforce security policies over API requests received by Envoy. The tutorial also covers examples of authoring custom policies over the HTTP request body.

Prerequisites

This tutorial requires Kubernetes 1.14 or later. To run the tutorial locally, we recommend using minikube in version v1.0+ with Kubernetes 1.14+.

Steps

1. Start Minikube

minikube start

2. Create ConfigMap containing configuration for Envoy

The Envoy configuration below defines an external authorization filter envoy.ext_authz for a gRPC authorization server.

Save the configuration as envoy.yaml:

static_resources:
  listeners:
    - address:
        socket_address:
          address: 0.0.0.0
          port_value: 8000
      filter_chains:
        - filters:
            - name: envoy.http_connection_manager
              typed_config:
                "@type": type.googleapis.com/envoy.config.filter.network.http_connection_manager.v2.HttpConnectionManager
                codec_type: auto
                stat_prefix: ingress_http
                route_config:
                  name: local_route
                  virtual_hosts:
                    - name: backend
                      domains:
                        - "*"
                      routes:
                        - match:
                            prefix: "/"
                          route:
                            cluster: service
                http_filters:
                  - name: envoy.ext_authz
                    typed_config:
                      "@type": type.googleapis.com/envoy.config.filter.http.ext_authz.v2.ExtAuthz
                      with_request_body:
                        max_request_bytes: 8192
                        allow_partial_message: true
                      failure_mode_allow: false
                      grpc_service:
                        google_grpc:
                          target_uri: 127.0.0.1:9191
                          stat_prefix: ext_authz
                        timeout: 0.5s
                  - name: envoy.router
                    typed_config: {}
  clusters:
    - name: service
      connect_timeout: 0.25s
      type: strict_dns
      lb_policy: round_robin
      load_assignment:
        cluster_name: service
        endpoints:
          - lb_endpoints:
              - endpoint:
                  address:
                    socket_address:
                      address: 127.0.0.1
                      port_value: 8080
admin:
  access_log_path: "/dev/null"
  address:
    socket_address:
      address: 0.0.0.0
      port_value: 8001

Create the ConfigMap:

kubectl create configmap proxy-config --from-file envoy.yaml

3. Define a OPA policy

The following OPA policy restricts access to the /people endpoint exposed by our sample app:

  • Alice is granted a guest role and can perform a GET request to /people.
  • Bob is granted an admin role and can perform a GET and POST request to /people.

The policy also restricts an admin user, in this case bob from creating an employee with the same firstname as himself.

policy.rego

package envoy.authz

import input.attributes.request.http as http_request

default allow = false

token = {"valid": valid, "payload": payload} {
    [_, encoded] := split(http_request.headers.authorization, " ")
    [valid, _, payload] := io.jwt.decode_verify(encoded, {"secret": "secret"})
}

allow {
    is_token_valid
    action_allowed
}

is_token_valid {
  token.valid
  now := time.now_ns() / 1000000000
  token.payload.nbf <= now
  now < token.payload.exp
}

action_allowed {
  http_request.method == "GET"
  token.payload.role == "guest"
  glob.match("/people*", [], http_request.path)
}

action_allowed {
  http_request.method == "GET"
  token.payload.role == "admin"
  glob.match("/people*", [], http_request.path)
}

action_allowed {
  http_request.method == "POST"
  token.payload.role == "admin"
  glob.match("/people", [], http_request.path)
  lower(input.parsed_body.firstname) != base64url.decode(token.payload.sub)
}

Store the policy in Kubernetes as a Secret.

kubectl create secret generic opa-policy --from-file policy.rego

In the next step, OPA is configured to query for the data.envoy.authz.allow decision. If the response is true the operation is allowed, otherwise the operation is denied. Sample input received by OPA is shown below:

data.envoy.authz.allow

{
  "attributes": {
      "request": {
          "http": {
              "method": "GET",
                "path": "/people",
                "headers": {
                  "authorization": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJyb2xlIjoiZ3Vlc3QiLCJzdWIiOiJZV3hwWTJVPSIsIm5iZiI6MTUxNDg1MTEzOSwiZXhwIjoxNjQxMDgxNTM5fQ.K5DnnbbIOspRbpCr2IKXE9cPVatGOCBrBQobQmBmaeU"
                }
            }
        }
    }
}

With the input value above, the answer is:

An example of the complete input received by OPA can be seen here.

In typical deployments the policy would either be built into the OPA container image or it would fetched dynamically via the Bundle API. ConfigMaps are used in this tutorial for test purposes.

4. Create App Deployment with OPA and Envoy sidecars

Our deployment contains a sample Go app which provides information about employees in a company. It exposes a /people endpoint to get and create employees. More information can on the app be found here.

OPA is started with a configuration that sets the listening address of Envoy External Authorization gRPC server and specifies the name of the policy decision to query. More information on the configuration options can be found here.

Save the deployment as deployment.yaml:

kind: Deployment
apiVersion: apps/v1
metadata:
  name: example-app
  labels:
    app: example-app
spec:
  replicas: 1
  selector:
    matchLabels:
      app: example-app
  template:
    metadata:
      labels:
        app: example-app
    spec:
      initContainers:
        - name: proxy-init
          image: openpolicyagent/proxy_init:v5
          # Configure the iptables bootstrap script to redirect traffic to the
          # Envoy proxy on port 8000, specify that Envoy will be running as user
          # 1111, and that we want to exclude port 8282 from the proxy for the
          # OPA health checks. These values must match up with the configuration
          # defined below for the "envoy" and "opa" containers.
          args: ["-p", "8000", "-u", "1111", "-w", "8282"]
          securityContext:
            capabilities:
              add:
              - NET_ADMIN
            runAsNonRoot: false
            runAsUser: 0
      containers:
        - name: app
          image: openpolicyagent/demo-test-server:v1
          ports:
            - containerPort: 8080
        - name: envoy
          image: envoyproxy/envoy:v1.14.4
          securityContext:
            runAsUser: 1111
          volumeMounts:
          - readOnly: true
            mountPath: /config
            name: proxy-config
          args:
          - "envoy"
          - "--config-path"
          - "/config/envoy.yaml"
        - name: opa
          # Note: openpolicyagent/opa:latest-envoy is created by retagging
          # the latest released image of OPA-Envoy.
          image: openpolicyagent/opa:{{< current_opa_envoy_docker_version >}}
          securityContext:
            runAsUser: 1111
          volumeMounts:
          - readOnly: true
            mountPath: /policy
            name: opa-policy
          args:
          - "run"
          - "--server"
          - "--addr=localhost:8181"
          - "--diagnostic-addr=0.0.0.0:8282"
          - "--set=plugins.envoy_ext_authz_grpc.addr=:9191"
          - "--set=plugins.envoy_ext_authz_grpc.query=data.envoy.authz.allow"
          - "--set=decision_logs.console=true"
          - "--ignore=.*"
          - "/policy/policy.rego"
          livenessProbe:
            httpGet:
              path: /health?plugins
              scheme: HTTP
              port: 8282
            initialDelaySeconds: 5
            periodSeconds: 5
          readinessProbe:
            httpGet:
              path: /health?plugins
              scheme: HTTP
              port: 8282
            initialDelaySeconds: 5
            periodSeconds: 5
      volumes:
        - name: proxy-config
          configMap:
            name: proxy-config
        - name: opa-policy
          secret:
            secretName: opa-policy
kubectl apply -f deployment.yaml

Check that the Pod shows 3/3 containers READY the STATUS as Running:

kubectl get pod

NAME                           READY   STATUS    RESTARTS   AGE
example-app-67c644b9cb-bbqgh   3/3     Running   0          8s

The proxy-init container installs iptables rules to redirect all container traffic through the Envoy proxy sidecar. More information can be found here.

5. Create a Service to expose HTTP server

In a second terminal, start a minikube tunnel to allow for use of the LoadBalancer service type.

minikube tunnel

In the first terminal, create a LoadBalancer service for the deployment.

kubectl expose deployment example-app --type=LoadBalancer --name=example-app-service --port=8080

Check that the Service shows an EXTERNAL-IP:

kubectl get service example-app-service

NAME                  TYPE           CLUSTER-IP      EXTERNAL-IP     PORT(S)          AGE
example-app-service   LoadBalancer   10.109.64.199   10.109.64.199   8080:32170/TCP   5s

Set the SERVICE_URL environment variable to the service's IP/port.

minikube:

export SERVICE_HOST=$(kubectl get service example-app-service -o jsonpath='{.status.loadBalancer.ingress[0].ip}')
export SERVICE_URL=$SERVICE_HOST:8080
echo $SERVICE_URL

minikube (example):

10.109.64.199:8080

6. Exercise the OPA policy

For convenience, we’ll want to store Alice's and Bob's tokens in environment variables.

export ALICE_TOKEN="eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJyb2xlIjoiZ3Vlc3QiLCJzdWIiOiJZV3hwWTJVPSIsIm5iZiI6MTUxNDg1MTEzOSwiZXhwIjoxNjQxMDgxNTM5fQ.K5DnnbbIOspRbpCr2IKXE9cPVatGOCBrBQobQmBmaeU"
export BOB_TOKEN="eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJyb2xlIjoiYWRtaW4iLCJzdWIiOiJZbTlpIiwibmJmIjoxNTE0ODUxMTM5LCJleHAiOjE2NDEwODE1Mzl9.WCxNAveAVAdRCmkpIObOTaSd0AJRECY2Ch2Qdic3kU8"

Check that Alice can get employees but cannot create one.

curl -i -H "Authorization: Bearer $ALICE_TOKEN" http://$SERVICE_URL/people
curl -i -H "Authorization: Bearer $ALICE_TOKEN" -d '{"firstname":"Charlie", "lastname":"OPA"}' -H "Content-Type: application/json" -X POST http://$SERVICE_URL/people

Check that Bob can get employees and also create one.

curl -i -H "Authorization: Bearer $BOB_TOKEN" http://$SERVICE_URL/people
curl -i -H "Authorization: Bearer $BOB_TOKEN" -d '{"firstname":"Charlie", "lastname":"Opa"}' -H "Content-Type: application/json" -X POST http://$SERVICE_URL/people

Check that Bob cannot create an employee with the same firstname as himself.

curl -i  -H "Authorization: Bearer $BOB_TOKEN" -d '{"firstname":"Bob", "lastname":"Rego"}' -H "Content-Type: application/json" -X POST http://$SERVICE_URL/people

Wrap Up

Congratulations for finishing the tutorial !

This tutorial showed how to use OPA as an External authorization service to enforce custom policies by leveraging Envoy’s External authorization filter.

This tutorial also showed a sample OPA policy that returns a boolean decision to indicate whether a request should be allowed or not.

Envoy's external authorization filter allows optional response headers and body to be sent to the downstream client or upstream. An example of a rule that returns an object that not only indicates if a request is allowed or not but also provides optional response headers, body and HTTP status that can be sent to the downstream client or upstream can be seen here.