Skip to main content

Checkmarx scanner reference

You can scan your repositories using Checkmarx.

Checkmarx step configuration​

The recommended workflow is add a Checkmarx step to a Security Tests or CI Build stage and then configure it as described below. You can also configure Checkmarx scans programmatically by copying, pasting, and editing the YAML definition.

note
  • UI configuration support is currently limited to the following scanners: Aqua Trivy, Bandit, Black Duck, Checkmarx, Grype, Mend, Prisma Cloud, Snyk, SonarQube, and ZAP.
  • Each step palette shows only the options that apply to a specific scan. If you're setting up a repository scan, for example, the UI won't show Container Image settings.
  • Docker-in-Docker is not required for these steps unless you're scanning a container image. If you're scanning a repository using Bandit, for example, you don't need to set up a Background step running DinD.
  • Support is currently limited to Kubernetes and Harness Cloud AMD64 build infrastructures only.
Step Palette

Scan settings​

Scan Mode​

The orchestration mode to use for the scan. The following list includes the UI and YAML values for the supported options.

  • Orchestrated A fully-orchestrated scan. A Security step in the Harness pipeline orchestrates a scan and then normalizes and compresses the results.
  • Extraction A partially-orchestrated scan. The Security step pulls scan results from an external SaaS service and then normalizes and compresses the data.
  • Ingestion Ingestion scans are not orchestrated. The Security step ingest results from a previous scan (for a scan run in an previous step) and then normallizes and compresses the results.

Scan Configuration​

The predefined configuration to use for the scan. All scan steps have at least one configuration.

Target​

Type​

  • Repository Scan a codebase repo.

Name​

The Identifier that you want to assign to the target you’re scanning in the pipeline. Use a unique, descriptive name such as codebaseAlpha or jsmith/myalphaservice.

Variant​

An identifier for a specific target to scan, such as the branch name or image tag. This identifier is used to differentiate or group results for a target. Harness maintains a historical trend for each variant.

Workspace​

The workspace path on the pod running the Security step. The workspace path is /harness by default.

You can override this if you want to scan only a subset of the workspace. For example, suppose the pipeline publishes artifacts to a subfolder /tmp/artifacts and you want to scan these artifacts only. In this case, you can specify the workspace path as /harness/tmp/artifacts.

Ingestion File​

The results data file to use when running an Ingestion scan. Generally an Ingestion scan consists of a scan step (to generate the data file) and an ingestion step (to ingest the data file).

Authentication​

Domain (extraction)​

The fully-qualified URL to the scanner.

Enforce SSL​

The step and the scanner communicate over SSL by default. Set this to false to disable SSL (not safe).

Access Token​

The access token to log in to the scanner. In most cases this is a password or an API key.

You should create a Harness text secret with your encrypted token and reference the secret using the format <+secrets.getValue(project.container-access-id>. For more information, go to Add and Reference Text Secrets.

Scan Tool​

Project Name​

The name of the scan project as defined in the scanner. This is the also the target name in the Harness UI (Security Tests > Test Targets).

Project Version​

The version of the scan project, as defined in the scanner.

Log Level, CLI flags, and Fail on Severity​

Log Level​

The minimum severity of the messages you want to include in your scan logs. You can specify one of the following:

  • DEBUG
  • INFO
  • WARNING
  • ERROR

Additional CLI flags​

You can use this field to customize the scan with specific command-line arguments supported by that scanner.

Fail on Severity​

Every Security step has a Fail on Severity setting. If the scan finds any vulnerability with the specified severity level or higher, the pipeline fails automatically. You can specify one of the following:

  • CRITICAL
  • HIGH
  • MEDIUM
  • LOW
  • INFO
  • NONE — Do not fail on severity

The YAML definition looks like this: fail_on_severity : critical # | high | medium | low | info | none

Settings​

You can use this field to run the Checkmarx plugin with specific command-line arguments. To run an incremental scan, for example, specify tool_args = -incremental.

Running incremental scans with Checkmarx​

In some cases, you might want to run an incremental rather than a full scan with Checkmarx due to time or licensing limits. An incremental scan evaluates only new or changed code in a merge or pull request. Incremental scans are faster than full scans, but become less accurate over time.

note

Consider carefully when to run incremental vs. full scans. See When should I use Incremental Scans vs Full Scans in CxSAST? in the Checkmarx documentation.

Additional Configuration​

In the Additional Configuration settings, you can use the following options:

Advanced settings​

In the Advanced settings, you can use the following options:

Security step configuration (deprecated)​

Set up a Checkmarx scan in a Security step

You can set up any supported scanner using a Security step: create a CI Build or Security Tests stage, add a Security step, and then add the setting:value pairs as specified below.

Security step dialog box

Here's an example of how to set up a scan in a Security step. scan_type and policy_type are scanner-specific; the other settings are common to scans of container images.

A screenshot of the Harness Platform that highlights the Create Project button in the Feature Flag module.
  • product_name = checkmarx
  • scan_type = repository
  • policy_type = orchestratedScan, dataLoad, or ingestionOnly
  • When policy_type is set to orchestratedScan or dataLoad:
    • product_domain
    • product_access_id
    • product_access_token = The account password
    • product_team_name = /<server-name>/<team-name> for example, /server1.myorg.org/devOpsEast
    • product_project_name
  • product_config_name = default
  • When policy_type is set to orchestratedScan
  • fail_on_severity - See Fail on Severity.
Repository scan settings

The following settings apply to all scanners where the scan_type is repository.

  • repository_project (required)
  • repository_branch (required)
Target NameTarget Type
azurerepository
bitbucketrepository
githubrepository
gitlabrepository
Ingestion scan settings

The following settings are required for Security steps where the policy_type is ingestionOnly.

  • target name The Identifier that you want to assign to the target you’re scanning in the pipeline. Use a unique, descriptive name such as codebaseAlpha or jsmith/myalphaservice.

  • variant An identifier for a specific target to scan, such as the branch name or image tag. This identifier is used to differentiate or group results for a target. Harness maintains a historical trend for each variant.

  • ingestion_file The results data file to use when running an Ingestion scan. You should specify the full path to the data file in your workspace, such as /shared/customer_artifacts/my_scan_results.json.

The following steps outline the general workflow for ingesting scan data into your pipeline:

  1. Specify a shared folder for your scan results, such as /shared/customer_artifacts. You can do this in the Overview tab of the Security stage where you're ingesting your data.

  2. Create a Run step that copies your scan results to the shared folder. You can run your scan externally, before you run the build, or set up the Run step to run the scan and then copy the results.

  3. Add a Security step after the Run step and add the target name, variant, and ingestion_file settings as described above.

For a complete workflow description and example, go to Ingest Scan Results into an STO Pipeline.

YAML configuration​

The following YAML pipeline includes example stages for scanning a repository (Bandit step), an image (AquaTrivy step), and an app (ZAP step).

tip

If you want to set up scan steps programmatically using YAML, the best practice is to set up your step in a pipeline using the Visual Editor and then copy, paste, and edit the YAML definition.

pipeline:
  name: sto-step-palette-example
  identifier: stosteppaletteexample
  projectIdentifier: my_sto_project
  orgIdentifier: default
  tags: {}
  properties:
    ci:
      codebase:
        connectorRef: MY_GITHUB_CONNECTOR
        build: <+input>
  stages:
    - stage:
        name: runSecurityTestsStage
        identifier: runSecurityTestsStage
        type: SecurityTests
        spec:
          cloneCodebase: true
          execution:
            steps:
              - step:
                  type: Background
                  name: docker_dind
                  identifier: Background_1
                  spec:
                    connectorRef: MY_DOCKER_CONNECTOR
                    image: docker:dind
                    shell: Sh
                    privileged: true
              - step:
                  type: Bandit
                  name: banditScanRepo
                  identifier: banditScanRepo
                  spec:
                    mode: orchestration
                    config: default
                    target:
                      name: dvpwa
                      type: repository
                      variant: <+codebase.branch>
                    advanced:
                      log:
                        level: info
                      fail_on_severity: none
              - step:
                  type: AquaTrivy
                  name: aquaTrivyScanContainerImage
                  identifier: aquaTrivyScanContainerImage
                  spec:
                    mode: orchestration
                    config: default
                    target:
                      name: myAlphaService
                      type: container
                      variant: latest
                    advanced:
                      log:
                        level: info
                    privileged: true
                    image:
                      type: docker_v2
                      name: jsmith/myalphaservice
                      domain: docker.io
                      tag: latest
              - step:
                  type: Zap
                  name: zapScanInstance
                  identifier: zapScanInstance
                  spec:
                    mode: orchestration
                    config: default
                    target:
                      name: my-gruyere
                      type: instance
                      variant: test
                    advanced:
                      log:
                        level: info
                    instance:
                      domain: https://google-gruyere.appspot.com/XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX/
                      protocol: https
          infrastructure:
            type: KubernetesDirect
            spec:
              connectorRef: MY_K8S_CONNECTOR
              namespace: harness-delegate-ng
              automountServiceAccountToken: true
              nodeSelector: {}
              os: Linux
          sharedPaths:
            - /var/run