Bandit Scanner Reference
You can scan your container images using Bandit, an open-source tool designed to find common security issues in Python code.
Bandit step configuration
The recommended workflow is to add an Bandit step to a Security Tests or CI Build stage and then configure it as described below. You can also configure Banditscans programmatically by copying, pasting, and editing the YAML definition.
- 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.
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.
- 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.
The predefined configuration to use for the scan. All scan steps have at least one configuration.
- Repository Scan a codebase repo.
The Identifier that you want to assign to the target you’re scanning in the pipeline. Use a unique, descriptive name such as
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.
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 specific subfolder. You can specify the workspace path as
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).
Log Level, CLI flags, and Fail on Severity
The minimum severity of the messages you want to include in your scan logs. You can specify one of the following:
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. It is good practice to include this setting in every Security step in an integrated pipeline. You can specify one of the following:
NONE— Do not fail on severity
The YAML definition looks like this:
fail_on_severity : critical # | high | medium | low | info | none
You can add a
tool_args setting to run the bandit scanner binary with specific command-line arguments. For example, you can skip certain tests using
-skip followed by a list of test IDs:
-skip testID_1, testID_3, testID_5
In the Additional Configuration settings, you can use the following options:
In the Advanced settings, you can use the following options:
Security step configuration (deprecated)
Set up a Bandit scan in a Security step
You can set up a Security step with Bandit to find common security issues in your Python code.
Scan policy types
STO supports the following policy_type settings for Bandit:
orchestratedScan— A Security step in the pipeline runs the scan and ingests the results. This is the easiest to set up and supports scans with default or predefined settings.
ingestionOnly— Run the scan in a Run step, or outside the pipeline, and then ingest the results. This is useful for advanced workflows that address specific security needs. See Ingest scan results into an STO pipeline.
default— Run a Bandit scan with the default settings.
repository_project— The repository name. If you want to scan
https://github.com/my-github-account/codebaseAlpha, for example, you would set this to
repository_branch— This tells Bandit the Git branch to scan. You can specify a hardcoded string or use the runtime variable
<+codebase.branch>. This sets the branch based on the user input or trigger payload at runtime.
fail_on_severity- See Fail on Severity.
The following YAML pipeline includes example stages for scanning a repository (Bandit step), an image (AquaTrivy step), and an app (ZAP step).
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.