kube-bench is a Go application that checks whether Kubernetes is deployed securely by running the checks documented in the CIS Kubernetes Benchmark.

Tests are configured with YAML files, making this tool easy to update as test specifications evolve.

CIS Kubernetes Benchmark support

kube-bench supports the tests for Kubernetes as defined in the CIS Benchmarks 1.0.0 to 1.4.0 respectively.

CIS Kubernetes Benchmark	kube-bench config	Kubernetes versions
1.0.0	1.6	1.6
1.1.0	1.7	1.7
1.2.0	1.8	1.8-1.10
1.3.0	1.11	1.11-1.12
1.4.0	1.13	1.13-

By default kube-bench will determine the test set to run based on the Kubernetes version running on the machine.

Installation

You can choose to

• run kube-bench from inside a container (sharing PID namespace with the host)
• run a container that installs kube-bench on the host, and then run kube-bench directly on the host
• install the latest binaries from the Releases page,
• compile it from source.

Running inside a container

You can avoid installing kube-bench on the host by running it inside a container using the host PID namespace and mounting the /etc and /var directories where the configuration and other files are located on the host, so that kube-bench can check their existence and permissions.

docker run --pid=host -v /etc:/etc:ro -v /var:/var:ro -t aquasec/kube-bench:latest [master|node]

You can even use your own configs by mounting them over the default ones in /opt/kube-bench/cfg/

docker run --pid=host -v /etc:/etc:ro -v /var:/var:ro -t -v path/to/my-config.yaml:/opt/kube-bench/cfg/config.yaml aquasec/kube-bench:latest [master|node]

Note: the tests require either the kubelet or kubectl binary in the path in order to know the Kubernetes version. You can pass -v $(which kubectl):/usr/bin/kubectl to the above invocations to resolve this.

Running in a kubernetes cluster

You can run kube-bench inside a pod, but it will need access to the host's PID namespace in order to check the running processes, as well as access to some directories on the host where config files and other files are stored.

Master nodes are automatically detected by kube-bench and will run master checks when possible. The detection is done by verifying that mandatory components for master are running. (see config file.

The supplied job.yaml file can be applied to run the tests as a job. For example:

$ kubectl apply -f job.yaml
job.batch/kube-bench created

$ kubectl get pods
NAME                      READY   STATUS              RESTARTS   AGE
kube-bench-j76s9   0/1     ContainerCreating   0          3s

# Wait for a few seconds for the job to complete
$ kubectl get pods
NAME                      READY   STATUS      RESTARTS   AGE
kube-bench-j76s9   0/1     Completed   0          11s

# The results are held in the pod's logs
kubectl logs kube-bench-j76s9
[INFO] 1 Master Node Security Configuration
[INFO] 1.1 API Server
...

You can still force to run specific master or node checks using respectively job-master.yaml and job-node.yaml.

To run the tests on the master node, the pod needs to be scheduled on that node. This involves setting a nodeSelector and tolerations in the pod spec.

The default labels applied to master nodes has changed since Kubernetes 1.11, so if you are using an older version you may need to modify the nodeSelector and tolerations to run the job on the master node.

Running in an EKS cluster

There is a job-eks.yaml file for running the kube-bench node checks on an EKS cluster. Note that you must update the image reference in job-eks.yaml. Typically you will push the container image for kube-bench to ECR and refer to it there in the YAML file.

There are two significant differences on EKS:

• It uses config files in JSON format
• It's not possible to schedule jobs onto the master node, so master checks can't be performed

Installing from a container

This command copies the kube-bench binary and configuration files to your host from the Docker container: ** binaries compiled for linux-x86-64 only (so they won't run on OSX or Windows) **

docker run --rm -v `pwd`:/host aquasec/kube-bench:latest install

You can then run ./kube-bench [master|node].

Installing from sources

If Go is installed on the target machines, you can simply clone this repository and run as follows (assuming your $GOPATH is set):

go get github.com/aquasecurity/kube-bench
go get github.com/golang/dep/cmd/dep
cd $GOPATH/src/github.com/aquasecurity/kube-bench
$GOPATH/bin/dep ensure -vendor-only
go build -o kube-bench .

# See all supported options
./kube-bench --help

# Run the all checks
./kube-bench

Configuration

Kubernetes config and binary file locations and names can vary from installation to installation, so these are configurable in the cfg/config.yaml file.

For each type of node (master, node or federated) there is a list of components, and for each component there is a set of binaries (bins) and config files (confs) that kube-bench will look for (in the order they are listed). If your installation uses a different binary name or config file location for a Kubernetes component, you can add it to cfg/config.yaml.

• bins - If there is a bins list for a component, at least one of these binaries must be running. The tests will consider the parameters for the first binary in the list found to be running.
• podspecs - From version 1.2.0 of the benchmark (tests for Kubernetes 1.8), the remediation instructions were updated to assume that the configuration for several kubernetes components is defined in a pod YAML file, and podspec settings define where to look for that configuration.
• confs - If one of the listed config files is found, this will be considered for the test. Tests can continue even if no config file is found. If no file is found at any of the listed locations, and a defaultconf location is given for the component, the test will give remediation advice using the defaultconf location.
• unitfiles - From version 1.2.0 of the benchmark (tests for Kubernetes 1.8), the remediation instructions were updated to assume that kubelet configuration is defined in a service file, and this setting defines where to look for that configuration.

Output

There are three output states

• [PASS] and [FAIL] indicate that a test was run successfully, and it either passed or failed
• [WARN] means this test needs further attention, for example it is a test that needs to be run manually
• [INFO] is informational output that needs no further action.

Test config YAML representation

The tests are represented as YAML documents (installed by default into ./cfg).

An example is as listed below:

---
controls:
id: 1
text: "Master Checks"
type: "master"
groups:
- id: 1.1
  text: "Kube-apiserver"
  checks:
    - id: 1.1.1
      text: "Ensure that the --allow-privileged argument is set (Scored)"
      audit: "ps -ef | grep kube-apiserver | grep -v grep"
      tests:
      bin_op: or
      test_items:
      - flag: "--allow-privileged"
        set: true
      - flag: "--some-other-flag"
        set: false
      remediation: "Edit the /etc/kubernetes/config file on the master node and set the KUBE_ALLOW_PRIV parameter to '--allow-privileged=false'"
      scored: true

Recommendations (called checks in this document) can run on Kubernetes Master, Node or Federated API Servers. Checks are organized into groups which share similar controls (things to check for) and are grouped together in the section of the CIS Kubernetes document. These groups are further organized under controls which can be of the type master, node or federated apiserver to reflect the various Kubernetes node types.

Omitting checks

If you decide that a recommendation is not appropriate for your environment, you can choose to omit it by editing the test YAML file to give it the check type skip as in this example:

  checks:
  - id: 2.1.1
    text: "Ensure that the --allow-privileged argument is set to false (Scored)"
    type: "skip"
    scored: true

No tests will be run for this check and the output will be marked [INFO].

Tests

Tests are the items we actually look for to determine if a check is successful or not. Checks can have multiple tests, which must all be successful for the check to pass.

The syntax for tests:

tests:
- flag:
  set:
  compare:
    op:
    value:
...

You can also define jsonpath and yamlpath tests using the following syntax:

tests:
- path:
  set:
  compare:
    op:
    value:
...

Tests have various operations which are used to compare the output of audit commands for success. These operations are:

• eq: tests if the flag value is equal to the compared value.
• noteq: tests if the flag value is unequal to the compared value.
• gt: tests if the flag value is greater than the compared value.
• gte: tests if the flag value is greater than or equal to the compared value.
• lt: tests if the flag value is less than the compared value.
• lte: tests if the flag value is less than or equal to the compared value.
• has: tests if the flag value contains the compared value.
• nothave: tests if the flag value does not contain the compared value.

Roadmap

Going forward we plan to release updates to kube-bench to add support for new releases of the Benchmark, which in turn we can anticipate being made for each new Kubernetes release.

We welcome PRs and issue reports.

Testing locally with kind

Our makefile contains targets to test your current version of kube-bench inside a Kind cluster. This can be very handy if you don't want to run a real kubernetes cluster for development purpose.

First you'll need to create the cluster using make kind-test-cluster this will create a new cluster if it cannot be found on your machine. By default the cluster is named kube-bench but you can change the name by using the environment variable KIND_PROFILE.

If kind cannot be found on your system the target will try to install it using go get

Next you'll have to build the kube-bench docker image using make build-docker, then we will be able to push the docker image to the cluster using make kind-push.

Finally we can use the make kind-run target to run the current version of kube-bench in the cluster and follow the logs of pods created. (Ctrl+C to exit)

Everytime you want to test a change, you'll need to rebuild the docker image and push it to cluster before running it again. ( make build-docker kind-push kind-run )