Anchore Enterprise step configuration
You can scan your container images with Anchore Enterprise.
Important notes for running Anchore Enterprise scans in STO
Anchore Enterprise requirements
-
You must use the Anchore v2 API and Anchore Enterprise Server v5.0 or higher to run orchestration and extraction scans.
-
When you're deploying an Anchore Enterprise server, expose port 8228. This is the port that Harness uses to communicate with the server.
All data ingestion methods are supported
You can run Orchestration, Extraction, and Ingestion workflows with Anchore Enterprise. This topic includes an Orchestration pipeline example below.
Scans in air-gapped environments are supported
You can run Anchore Enterprise scans in air-gapped environments. For more information, go to the Anchore Enterprise documentation:
Root access requirements
You need to run the scan step with root access if either of the following apply:
- You need to add trusted certificates to your scan images at runtime.
You can utilize custom STO scan images and pipelines to run scans as a non-root user. For more details, refer Configure your pipeline to use STO images from private registry.
For more information
The following topics contain useful information for setting up scanner integrations in STO:
Anchore Enterprise step settings in STO
The recommended workflow is to add an Anchore Enterprise step to a Build or Security stage and then configure it as described below.
Scan
Scan mode
- Orchestration Configure the step to run a scan and then ingest, normalize, and deduplicate the results.
- Extraction Configure the step to extract scan results from an external SaaS service and then ingest, normalize, and deduplicate the data.
- Ingestion Configure the step to read scan results from a data file and then ingest, normalize, and deduplicate the data.
Scan configuration
The predefined configuration to use for the scan. All scan steps have at least one configuration.
Target
Type
- Container Image Scan the layers, libraries, and packages in a container image.
Target and Variant Detection
When Auto is enabled for container images, the step detects the target and variant using the Container Image Name and Tag defined in the step or runtime input.
Note the following:
- Auto is not available when the Scan Mode is Ingestion.
- Auto is the default selection for new pipelines. Manual is the default for old pipelines, but you might find that neither radio button is selected in the UI.
Name
The identifier for the target, such as codebaseAlpha
or jsmith/myalphaservice
. Descriptive target names make it much easier to navigate your scan data in the STO UI.
It is good practice to specify a baseline for every target.
Variant
The identifier for the specific variant to scan. This is usually the branch name, image tag, or product version. Harness maintains a historical trend for each variant.
Container image
Type (orchestration)
The registry type where the image is stored:
-
Docker v2 A registry that uses the Docker Registry v2 API such as Docker Hub, Google Container Registry, or Google Artifact Registry. STO will automatically pull and scan the container image or OCI/Docker archive.
-
AWS ECR Set your AWS ECR connector with image details. STO will automatically pull and scan the container image or OCI/Docker archive.
-
Jfrog Artifactory Set your Jfrog Artifactory connector with image details. STO will automatically pull and scan the container image or OCI/Docker archive.
-
Local Image in this Stage Scan a local image built and stored within the context of the current stage (via
/var/run/docker.sock
registered as a stage level volume mount). For this, you will need to configure Docker-in-Docker as a background step. STO will identify and scan the container image matching the step configuration inside the Docker-in-Docker background within that stage. -
Local OCI/Docker archive in this Stage Scan an OCI or Docker archive created and stored within the current stage. STO will scan the archive based on the path configured in the workspace field during the step. Ensure that the path to which the archive is saved is a shared volume mount.
Domain
The URL of the registry that contains the image to scan. Examples include:
docker.io
app.harness.io/registry
us-east1-docker.pkg.dev
us.gcr.io
Name
The image name. For non-local images, you also need to specify the image repository. Example: jsmith/myalphaservice
Tag
The image tag. Examples: latest
, 1.2.3
Access ID
The username to log in to the image registry.
Access Token
The access token used to log in to the image registry. This is usually 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("container-access-id")>
. For more information, go to Add and Reference Text Secrets.
Ingestion File
The path to your scan results when running an Ingestion scan, for example /shared/scan_results/myscan.latest.sarif
.
-
The data file must be in a supported format for the scanner.
-
The data file must be accessible to the scan step. It's good practice to save your results files to a shared path in your stage. In the visual editor, go to the stage where you're running the scan. Then go to Overview > Shared Paths. You can also add the path to the YAML stage definition like this:
- stage:
spec:
sharedPaths:
- /shared/scan_results
Authentication
Domain
The fully-qualified URL to the scanner API, for example https://anchore.company.io/api
or http://192.0.2.1:8228
.
Access ID
The username to log in to the scanner.
Access Token
The access token to log in to the scanner. This is usually 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("my-access-token")>
. For more information, go to Add and Reference Text Secrets.
Scan Tool
Image Name
The name of the image that you want to extract from Anchore. In Extraction mode, the image to scan must be located on the Anchore server. You should include both the image name and tag, for example, ubuntu:20.04
.
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
Use this field to run the Anchore Enterprise CLI with flags such as --force
. This flag resets the image analysis status to not_analyzed
.
Passing additional CLI flags is an advanced feature. Harness recommends the following best practices:
-
Test your flags and arguments thoroughly before you use them in your Harness pipelines. Some flags might not work in the context of STO.
-
Don't add flags that are already used in the default configuration of the scan step.
To check the default configuration, go to a pipeline execution where the scan step ran with no additional flags. Check the log output for the scan step. You should see a line like this:
Command [ scancmd -f json -o /tmp/output.json ]
In this case, don't add
-f
or-o
to Additional CLI flags.
Fail on Severity
Every STO scan 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 specify environment variables for your scanner.
Additional Configuration
The fields under Additional Configuration vary based on the type of infrastructure. Depending on the infrastructure type selected, some fields may or may not appear in your settings. Below are the details for each field
- Override Security Test Image
- Privileged
- Image Pull Policy
- Run as User
- Set Container Resources
- Timeout
Advanced settings
In the Advanced settings, you can use the following options:
View Anchore policy failures
Anchore policy failures will appear in scan results as Info
severity issues, with the issue type set to EXTERNAL_POLICY
. Successfully passed policies will not be included in the scan results. Additionally, you can apply OPA policies in Harness STO to enforce or manage the policy failures.
Proxy settings
This step supports Harness Secure Connect if you're using Harness Cloud infrastructure. During the Secure Connect setup, the HTTPS_PROXY
and HTTP_PROXY
variables are automatically configured to route traffic through the secure tunnel. If there are specific addresses that you want to bypass the Secure Connect proxy, you can define those in the NO_PROXY
variable. This can be configured in the Settings of your step.
If you need to configure a different proxy (not using Secure Connect), you can manually set the HTTPS_PROXY
, HTTP_PROXY
, and NO_PROXY
variables in the Settings of your step.
Definitions of Proxy variables:
HTTPS_PROXY
: Specify the proxy server for HTTPS requests, examplehttps://sc.internal.harness.io:30000
HTTP_PROXY
: Specify the proxy server for HTTP requests, examplehttp://sc.internal.harness.io:30000
NO_PROXY
: Specify the domains as comma-separated values that should bypass the proxy. This allows you to exclude certain traffic from being routed through the proxy.
Anchore Enterprise orchestration example
This example uses an Anchore step in Orchestration mode to scan a repository. The pipeline has one Security stage with two steps:
-
A Background step that runs Docker-in-Docker. This is required to scan container images.
-
An Anchore step that does the following:
- Extracts the
owasp/nettacker:latest
image from Anchore Enterprise. - Logs in to the Anchore Enterprise API based on the
product_domain
,product_access_id
,product_access_token
settings. - Launches an orchestration scan of the
owasp/nettacker
project in Anchore Enterprise and gets the scan results from the Anchore server. - Deduplicates and normalizes the scan data and ingests it into STO.
- Extracts the
Note that in this example, the resource limits for the Docker-in-Docker step are increased to ensure that the step has enough memory to store the scanned image.
Anchore Enterprise orchestration pipeline example
pipeline:
name: anchore step palette
identifier: anchore_step_palette
projectIdentifier: default
orgIdentifier: default
tags: {}
stages:
- stage:
name: anchore
identifier: anchore
type: SecurityTests
spec:
cloneCodebase: false
execution:
steps:
- step:
type: Background
name: docker_dind
identifier: docker_dind
spec:
connectorRef: YOUR_DOCKER_CONNECTOR_ID
image: docker:dind
shell: Sh
command: dockerd
privileged: true
resources:
limits:
memory: 2048Mi
cpu: 1000m
- step:
type: Anchore
name: Anchore_1
identifier: Anchore_1
spec:
mode: orchestration
config: default
target:
name: owasp/nettacker
type: container
variant: latest
advanced:
log:
level: info
args:
cli: "--force"
privileged: true
image:
type: docker_v2
name: owasp/nettacker
tag: latest
auth:
access_token: <+secrets.getValue("YOUR_ACCESS_TOKEN_SECRET")>
access_id: <+secrets.getValue("YOUR_ACCESS_ID_SECRET")>
domain: YOUR_DOMAIN_URL
infrastructure:
type: KubernetesDirect
spec:
connectorRef: YOUR_KUBERNETES_CLUSTER_CONNECTOR_ID
namespace: YOUR_KUBERNETES_NAMESPACE
automountServiceAccountToken: true
nodeSelector: {}
os: Linux
sharedPaths:
- /var/run
caching:
enabled: false
paths: []
slsa_provenance:
enabled: false