Policy samples
Harness provides governance using Open Policy Agent (OPA), policy management, and Rego policies. You can enforce policies in the following ways:
-
Enforce policies at a scope: Create a policy and apply it to all pipelines in your account, organization, and project.
Policy evaluation occurs on pipeline-level events like On Run and On Save. For more information, go to Harness Policy As Code quickstart.
-
Enforce policies at any stage: Create a policy step and include a policy set and JSON payload to evaluate.
When the pipeline reaches the policy step, policy evaluation occurs. Data such as resolved expressions can be evaluated when the pipeline runs.
For information about how to add a policy step to a stage, go to Add a policy step to a pipeline.
This topic provides sample policies you can use in policy steps and on pipeline-level events like On Run and On Save.
- Policy samples
- Connector policy samples
- Pipeline enforcement policy samples
- Prevent other developers from deploying into a non-compliant environment
- Enforce the container registry selected for building and publishing code
- Prevent users from leveraging steps that are not allowed by the company
- Enforce a deployment freeze via policy
- Enforce remote pipeline execution from the default branch only if the user is not part of a specific user group
- Feature Flag policies
- Prevent feature flags from being enabled in a production environment that are not configured in a stage environment
- Enforce the flag types that are configured for Feature Flags
- Deny the creation of Feature Flags that serve true by default
- Users want to enforce naming conventions for their Feature flags
- Template policy samples
- Enforce the use of stable templates in a pipeline
- Enforce an Approval step in a stage template
- Enforce specific environments to be configured for a stage template
- Enforce use of an approved stage template in a pipeline
- Enforce step templates to be used in a pipeline
- Enforce the stage structure of a pipeline
- Enforce steps in a pipeline
- Enforce step order in a pipeline
- Enforce a step is used only in specific pipelines
- Secret policy samples
- Security Tests policy samples
Policy samples
Connector policy samples
- Enforce authorization type while configuring a Kubernetes connector
- Enforce access control for a specific connector at runtime while configuring the pipeline
- Enforce the connector naming conventions when users add a new connector
Enforce authorization type while configuring a Kubernetes connector
Enforce authorization type to prevent users from setting up connectors that might not be standard or in compliance with the account owner's guidelines.
Here is a sample policy that you can evaluate using the On Save event for a Harness connector:
package connector
import future.keywords.in
# Choose a connector type to check
connectorType := "K8sCluster"
# Choose one or more allowed auth types for the above connector type
allowedAuthTypes := ["UsernamePassword"]
deny[msg] {
cType := input.entity.type
aType := input.entity.spec.credential.spec.auth.type
# This will deny when both of the below conditions are true
cType == connectorType
not aType in allowedAuthTypes
msg := sprintf("Auth types %s are allowed for connector type %s, used '%s'", [allowedAuthTypes, cType, aType])
}
Enforce access control for a specific connector at runtime while configuring the pipeline
The administrator can control which users can select a specific connector for pipeline configuration and pipeline execution.
Here is a sample policy to enforce which users and user groups can deploy and build using the connector:
package connector
# Choose a connector type to check
connectorType := "K8sCluster"
# Choose one or more user groups, identified by the "identifier" property
AllowedUserGroups := ["_project_all_users"]
deny[msg] {
cType := input.entity.type
# Check the connector type is the one we need
cType == connectorType
# Check the user groups from the connector are contained in the allowed list
not contains(input.metadata.userGroups)
msg := sprintf("Only user groups %s are allowed for connector type %s'", [AllowedUserGroups, cType])
}
contains(userGroups) {
identifier := userGroups[_].identifier
AllowedUserGroups[_] = identifier
}
Enforce the connector naming conventions when users add a new connector
Administrators can enforce naming conventions for connectors created in the Harness account.
Here is a sample policy to enforce naming conventions for connectors that can be applied using the On Save event for connector:
package connectors
# Deny connectors whose names do not follow the correct naming convention
# e.g. "Lion - Data Store" is allowed but "Cool connector" is not
# NOTE: Try setting the name to "Test" to see the policy fail
deny[msg] {
not regex.match("[Cheetah|Tiger|Lion]\\s[-]\\s[a-zA-Z0-9\\s]+", input.entity.name)
msg := sprintf("Connector name '%s' must follow the correct naming convention 'Team - Account'", [input.entity.name])
}
Pipeline enforcement policy samples
- Prevent other developers from deploying into a non-compliant environment
- Enforce the container registry selected for building and publishing code
- Prevent users from leveraging steps that are not allowed by the company
- Enforce a deployment freeze via policy
- Enforce remote pipeline execution from the default branch only if the user is not part of a specific user group
Prevent other developers from deploying into a non-compliant environment
Administrators can enforce policies to restrict the environments that developers can deploy to.
Here is a sample policy to do this. This policy can be applied using the On Run event for a pipeline:
package pipeline
# Deny pipelines that do not use allowed environments
# NOTE: Try removing "test" from the 'allowed_environments' list to see the policy fail
deny[msg] {
# Find all deployment stages
stage = input.pipeline.stages[_].stage
stage.type == "Deployment"
# ... where the environment is not in the allow list
not contains(allowed_environments, stage.spec.infrastructure.environment.identifier)
# Show a human-friendly error message
msg := sprintf("deployment stage '%s' cannot be deployed to environment '%s'", [stage.name, stage.spec.infrastructure.environment.identifier])
}
# Deny pipelines if the environment is missing completely
deny[msg] {
# Find all deployment stages
stage = input.pipeline.stages[_].stage
stage.type == "Deployment"
# ... without an environment
not stage.spec.infrastructure.environment.identifier
# Show a human-friendly error message
msg := sprintf("deployment stage '%s' has no environment identifier", [stage.name])
}
# Environments that can be used for deployment
allowed_environments = ["demoprod","stage"]
contains(arr, elem) {
arr[_] = elem
}
Enforce the container registry selected for building and publishing code
Administrators can restrict and prevent users from publishing images to public repos, ensuring that only approved repos can be used.
Here is a sample policy that can be applied using the On Run event for a pipeline:
package pipeline
# Deny build pipelines that don't push to "us.gcr.io"
# NOTE: Try changing the expected host to see the policy fail
deny[msg] {
# Find all stages ...
stage = input.pipeline.stages[_].stage
# ... that are used for CI
stage.type == "CI"
# ... that have steps
step = stage.spec.execution.steps[_].step
# ... that build and push to GCR steps
step.type == "BuildAndPushGCR"
# ... and do not target "us.gcr.io"
step.spec.host != "us.gcr.io"
# Show a human-friendly error message
msg = sprintf("CI stage '%s' cannot push images to host '%s'", [stage.name, step.spec.host])
}
Prevent users from leveraging steps that are not allowed by the company
You can restrict developers from using specific steps in their pipelines.
Here is a sample policy that can be applied using the On Save and On Run events for a pipeline:
package pipeline
# Deny pipelines that are missing required steps
# NOTE: Try adding "HarnessApproval" to the 'forbidden_steps' list to see the policy fail
deny[msg] {
# Find all stages ...
stage = input.pipeline.stages[_].stage
# ... that are deployments
stage.type == "Deployment"
# Find all steps in each stage ...
step = stage.spec.execution.steps[_].step
# ... that use forbidden types
forbidden_steps[_] = step.type
# Show a human-friendly error message
msg := sprintf("deployment stage '%s' has step '%s' that is forbidden type '%s'", [stage.name, step.name, step.type])
}
# Steps that should not used in deployments
forbidden_steps = ["ShellScript"]
contains(arr, elem) {
arr[_] = elem
}
Enforce a deployment freeze via policy
Administrators can configure a deployment freeze via policy to supplement the deployment freeze feature. The policy is great for one-off freezes as opposed to recurring freezes.
Here is a sample policy to do this, that can be applied using the On Run event for a pipeline:
package pipeline
# Deny when the current date is after a start date and before an end date
# Could be used for deployment freezes
deny[msg] {
freezeStart := time.parse_rfc3339_ns("2022-11-18T00:00:00+00:00")
freezeEnd := time.parse_rfc3339_ns("2022-11-20T00:00:00+00:00")
now := time.now_ns()
now > freezeStart
now < freezeEnd
# Show a human-friendly error message
msg := "Deployment is currently frozen from 18th Nov to 20th Nov"
}
Enforce remote pipeline execution from the default branch only if the user is not part of a specific user group
Users in a specific user group can run remote pipelines from any branch, but others can only run pipelines from the default branch.
package pipeline
# Deny when the current date is after a start date and before an end date
# Could be used for deployment freezes
deny[msg] {
# Find all user groups that are in the project
userGroup = input.metadata.userGroups[_]
userGroup.identifier == "groupIdentifier"
# Ensure if user is not part of the specific group
not contains(userGroup.users, input.metadata.user.uuid)
# Ensure user is running pipeline only from default branch
input.pipeline.gitConfig.branch == "defaultBranch"
# Show a human-friendly error message
msg := "Execution is only allowed from default branch for this user"
}
Enforce a Stage Name via Regex
On Pipeline Save you can enforce a stage to adhere to a specific naming convention.
package stage
# Deny if stageName doesn't match the regex pattern
# CRITERIA
# Begin with a lowercase letter.
# Followed by lowercase letters, numbers, or hyphens.
# Be between 3 to 10 characters long.
deny[msg] {
# Find all stages ...
stage = input.pipeline.stages[_].stage
# ... that are deployments
stage.type == "Deployment"
not regex.match("^[a-z][a-z0-9-]{2,9}$", stage.name)
msg := sprintf("The provided stage name '%v' is invalid.", [stage.name])
}
Feature Flag policies
- Prevent feature flags from being enabled in a production environment that are not configured in a stage environment
- Enforce the flag types that are configured for Feature Flags
- Deny the creation of Feature Flags that serve true by default
- Users want to enforce naming conventions for their Feature flags
Prevent feature flags from being enabled in a production environment that are not configured in a stage environment
Enforce a policy on Feature Flags to ensure the configuration of the flag is properly governed by the end user.
Here is a sample policy to do this:
package feature_flags
# Deny flags that are enabled in "production" but not in "stage"
# NOTE: Try changing the "production" stage to be on to see the policy fail
deny[msg] {
# Match flags where the "production" environment is on ...
prod := input.flag.envProperties[_]
prod.environment == "production"
prod.state == "on"
# ... and the "stage" environment is off
stage := input.flag.envProperties[_]
stage.environment == "stage"
stage.state == "off"
# Show a human-friendly error message
msg := sprintf(`Flag '%s' cannot be enabled in "production" because it is disabled in "stage"`, [input.flag.name])
}
Enforce the flag types that are configured for Feature Flags
Enforce policies to configure Feature Flags with a boolean value. Here is a sample policy to do this, which can be applied using the On Creation events for a Feature Flag:
package feature_flags
# Deny flags that aren't "boolean"
# NOTE: Try adding changing the flag 'kind' to see the policy fail
deny[msg] {
input.flag.kind != "boolean"
msg := sprintf(`Flag '%s' isn't of type "boolean"`, [input.flag.name])
}
Deny the creation of Feature Flags that serve true by default
Enforce policies to prevent users from configuring flags and serving true to all the end users of the flag. It allows for a safer rollout of the flag. Here is a sample policy to do this, which can be applied on feature flag configuration:
package feature_flags
# Deny flags that serve true by default when turned off to prevent accidentally enabling the flag
# NOTE: Try setting the 'defaultOnVariation' to true to see the policy fail
deny[msg] {
input.flag.defaultOnVariation != "false"
msg := sprintf("Flag '%s' does not have default 'on' value of false", [input.flag.name])
}
# Deny flags that serve true by default when turned on to prevent accidentally enabling the flag
# NOTE: Try setting the 'defaultOffVariation' to true to see the policy fail
deny[msg] {
input.flag.defaultOffVariation != "false"
msg := sprintf("Flag '%s' does not have default 'off' value of false", [input.flag.name])
}
Users want to enforce naming conventions for their Feature flags
Establish policies to ensure no one falls outside the proper naming convention for internal flags when naming Feature Flags. Here is a sample policy to do this, which can be applied using the On Save event for the Feature Flag:
package feature_flags
# Deny flags whose names do not contain a validly formatted Jira ticket number
# e.g. "FFM-123" is allowed but "Cool flag" is not
# NOTE: Try setting the name to "Test" to see the policy fail
deny[msg] {
not regex.match("[FFM|OPA|CI|CD]+[-][1-9][0-9]?", input.flag.name)
msg := sprintf("Flag name '%s' doesn't contain a Jira ticket number", [input.flag.name])
}
Template policy samples
- Enforce the use of stable templates in a pipeline
- Enforce an Approval step in a stage template
- Enforce specific environments to be configured for a stage template
- Enforce use of an approved stage template in a pipeline
- Enforce step templates to be used in a pipeline
- Enforce the stage structure of a pipeline
- Enforce steps in a pipeline
- Enforce step order in a pipeline
Enforce the use of stable templates in a pipeline
Enforce policies to ensure that the correct version of a template is used in the pipeline.
Here is a sample policy that can be applied using the On Save
or On Run
events for a pipeline:
package pipeline
template := "my_template"
stableVersion := "1"
# Deny a pipeline if the stage uses the template above
# without the stable version stated
deny[msg] {
stage = input.pipeline.stages[_].stage
# Check if the stage matches but doesn't have a template
stage.template.templateRef == template
stage.template.versionLabel != stableVersion
# Show a human-friendly error message
msg = sprintf(
"Stage %s, has template %s, with version %s, it should be version %s",
[stage.name, template, stage.template.versionLabel, stableVersion],
)
}
# Deny a pipeline if the step uses the template above
# without the stable version stated
deny[msg] {
stage = input.pipeline.stages[_].stage
step = stage.spec.execution.steps[_].step
# Check if the stage matches but doesn't have a template
step.template.templateRef == template
step.template.versionLabel != stableVersion
# Show a human-friendly error message
msg = sprintf(
"Step %s in stage %s, , has template %s, with version %, it should be version %s",
[step.name, stage.name, template, stage.template.versionLabel, stableVersion],
)
}
Enforce an Approval step in a stage template
Ensure that an Approval Step is configured in a stage template when a user is creating a template. Here is a sample policy that can be applied using the On Save event of a template.
package template
# Deny template that don't have an approval step
# NOTE: Try removing the HarnessApproval step from your input to see the policy fail
deny[msg] {
# Find all stages that are Deployments ...
input.template.spec.stages[i].stage.type == "Deployment"
# ... that are not in the set of stages with HarnessApproval steps
not stages_with_approval[i]
# Show a human-friendly error message
msg := sprintf("deployment stage '%s' does not have a HarnessApproval step", [input.template.spec.stages[i].stage.name])
}
# Find the set of stages that contain a HarnessApproval step
stages_with_approval[i] {
input.template.spec.stages[i].stage.spec.execution.steps[_].step.type == "HarnessApproval"
}
Enforce specific environments to be configured for a stage template
This policy enforces only allowed environments to be configured on a stage template at design time.
Here is a sample policy that can be applied using the On Save of a template.
package template
# Deny pipeline template that do not use allowed environments
# NOTE: Try removing "test" from the 'allowed_environments' list to see the policy fail
deny[msg] {
# Find all deployment stages
stage = input.template.spec.stages[_].stage
stage.type == "Deployment"
# ... where the environment is not in the allow list
not contains(allowed_environments, stage.spec.environment.infrastructureDefinitions[i].identifier)
# Show a human-friendly error message
msg := sprintf("deployment stage '%s' cannot be deployed to environment '%s'", [stage.spec.environment.infrastructureDefinitions[i].identifier])
}
# Deny pipeline templates if the environment is missing completely
deny[msg] {
# Find all deployment stages
stage = input.template.spec.stages[_].stage
stage.type == "Deployment"
# ... without an environment
not stage.spec.environment.environmentRef
# Show a human-friendly error message
msg := sprintf("deployment stage '%s' has no environment identifier", [stage.name])
}
# Environments that can be used for deployment
allowed_environments = ["prod","stage"]
contains(arr, elem) {
arr[_] = elem
}
Enforce use of an approved stage template in a pipeline
You can apply this sample policy using the On Save or On Run events for a pipeline:
package pipeline
stageType := "Deployment"
template := "my_stage_template"
# Deny a pipeline if the stage type above does not
# have a template at all
deny[msg] {
stage = input.pipeline.stages[_].stage
# Check if the stage matches but doesn't have a template
stage.type == stageType
not stage.template
# Show a human-friendly error message
msg = sprintf("Stage %s has no template, it must use template %s", [stage.name, template])
}
# Deny a pipeline if the stage type above does not
# use the template and version required
deny[msg] {
stage = input.pipeline.stages[_].stage
# Check if the stage matches but the template ref
# or version are not matching
stage.type == stageType
stage.template.templateRef != template
# Show a human-friendly error message
msg = sprintf("Stage %s uses the wrong template, it must use template %s", [stage.name, template])
}
Enforce step templates to be used in a pipeline
Enforce the usage of a step template in a pipeline. This ensures that correct and approved steps are used.
Here is a sample policy that can be applied using the On Save or On Run event for a pipeline:
package pipeline
stepType := "Policy"
template := "my_template"
# Deny a pipeline if the step type above does not
# have a template at all
deny[msg] {
stage = input.pipeline.stages[_].stage
step = stage.spec.execution.steps[_].step
# Check if the step matches but doesn't have a template
step.type == stepType
not step.template
# Show a human-friendly error message
msg = sprintf("In stage %s, step %s has no template, it must use template %s", [stage.name, step.name, template])
}
# Deny a pipeline if the step type above does not
# use the template and version required
deny[msg] {
stage = input.pipeline.stages[_].stage
step = stage.spec.execution.steps[_].step
# Check if the step matches but the template ref
# or version are not matching
step.type == stepType
step.template.templateRef != template
# Show a human-friendly error message
msg = sprintf("In stage %s, step %s uses the wrong template, it must use template %s", [stage.name, step.name, template])
}
Enforce the stage structure of a pipeline
Enforce policies to ensure pipelines are designed with a recommended or mandatory structure.
This ensures that pipeline designers have the freedom to design a pipeline while following the guardrails.
Here is a sample policy that can be applied using the On Save event for a pipeline:
package pipeline
stage_order := ["OPA check", "deploy"]
# Deny a pipeline if stages do not execute in the
# correct order. This will check that the named stages
# in the array above are in the right order, ignoring
# other stages.
deny[msg] {
# Run through the order rules array
item = stage_order[i]
prev = stage_order[i - 1]
index = getIndex(item, input.pipeline.stages)
prevIndex = getIndex(prev, input.pipeline.stages)
# Makes sure the current rule is after the previous
# rule in the step order
index < prevIndex
# Show a human-friendly error message
msg = sprintf("Stage order is incorrect %s should be after %s", [item, prev])
}
getIndex(str, stages) = result {
stage = input.pipeline.stages[i].stage
str == stage.name
result = i
}
Enforce steps in a pipeline
Enforce policies to ensure mandatory steps are configured in a pipeline.
Here is a sample policy that can be applied using the On Save or On Run event for a pipeline:
package pipeline
# Deny pipelines that are missing required steps
# NOTE: Try adding "ShellScript" to the 'required_steps' list to see the policy fail
deny[msg] {
# Find all stages ...
stage = input.pipeline.stages[_].stage
# ... that are deployments
stage.type == "Deployment"
# ... and create a list of all step types in use
existing_steps := [s | s = stage.spec.execution.steps[_].step.type]
# For each required step ...
required_step := required_steps[_]
# ... check if it's present in the existing steps
not contains(existing_steps, required_step)
# Show a human-friendly error message
msg := sprintf("deployment stage '%s' is missing required step '%s'", [stage.name, existing_steps])
}
# Steps that must be present in every deployment
required_steps = ["JiraUpdate","HarnessApproval"]
contains(arr, elem) {
arr[_] = elem
}
Enforce step order in a pipeline
Enforce policies for the ordering of steps that are configured in a pipeline.
Here is a sample policy that can be applied using the On Save or On Run event for a pipeline:
package pipeline
step_order := ["Get version", "Run OPA policy"]
# Deny a pipeline if steps do not execute in the
# correct order, this will check the steps in every
# stage
deny[msg] {
stage = input.pipeline.stages[_].stage
# Run through the order rules array
item = step_order[i]
prev = step_order[i - 1]
index = getIndex(item, stage)
prevIndex = getIndex(prev, stage)
# Makes sure the current rule is after the previous
# rule in the step order
index < prevIndex
# Show a human-friendly error message
msg = sprintf("Step order is incorrect %s should be after %s", [item, prev])
}
getIndex(str, stage) = result {
item = stage.spec.execution.steps[i]
str == item.step.name
result = i
}
Enforce a step is used only in specific pipelines
The below policy can be applied on pipeline save or on pipeline run. Users can deny a step being used in a particular list of pipelines. In the below example, users can enforce the Jenkins step in a particular list of pipelines.
package pipeline
# Deny usage of jenkins steps outside named pipelines
deny[msg] {
# Check the current pipeline is not in the named list
not contains(jenkins_pipelines, input.pipeline.name)
# Check if the pipeline contains a JenkinsBuild step
step := input.pipeline.stages[_].stage.spec.execution.steps[_].step
step.type == "JenkinsBuild"
msg := sprintf("Pipeline '%s' with Jenkins connector is not permitted", [input.pipeline.name])
}
# Pipelines allowed to have a jenkins step
jenkins_pipelines = ["qa_pipeline","prod_pipeline"]
contains(arr, elem) {
arr[_] = elem
}
Secret policy samples
- Ensure there are no principals in the secret secrets.
- Enforce secret naming conventions
- Enforce what secrets manager can be used to save secrets.
Ensure there are no principals in the secret secrets
Enforce policies to ensure that the secrets configured in Harness are configured by the correct principal.
Here is a sample policy that can be applied using the On Save event for a secret:
package secret
import future.keywords.in
# The identifiers for one or more principals allowed to save secrets
allowedPrincipals = ["1234abcd"]
deny["Principal is not allowed to save secrets"] {
# If the principal is not in the allowed principals list, deny.
not input.metadata.principalIdentifier in allowedPrincipals
}
Enforce secret naming conventions
Enforce policies to ensure that developers add secrets to Harness with a common naming standard. This makes it easy to identify and manage them.
Here is a sample policy that can be applied using the On Save event for a secret:
package secrets
# Deny secrets whose names do not follow the correct naming convention
# e.g. "Lion - MongoDB Password" is allowed but "Cool secret" is not
# NOTE: Try setting the name to "Test" to see the policy fail
deny[msg] {
not regex.match("[Cheetah|Tiger|Lion]\\s[-]\\s[a-zA-Z0-9\\s]+", input.secret.name)
msg := sprintf("Secret name '%s' must follow the correct naming convention 'Team - Purpose'", [input.secret.name])
}
Enforce what secrets manager can be used to save secrets.
Enforce policies to store your secrets in a specific secrets manager.
Here is a sample policy that can be applied using the On Save event for a secret:
package secrets
import future.keywords.in
# Choose one or more allowed providers based on there identifier
allowedProviders := ["harnessSecretManager"]
deny[msg] {
# Check that the secret manager identifier exists in the white list
not input.secret.spec.secretManagerIdentifier in allowedProviders
msg := sprintf("Only %s are allowed as providers", [allowedProviders])
}
Security Test policy samples
The Harness Policy Library includes the following policy samples that make it easy to create security test policies and enforce them against your scan results.
- Exclude vulnerabilities by severity
- Exclude vulnerabilities by reference ID
- Exclude vulnerabilities by title
- Exclude vulnerabilities by number of occurrences
- Exclude vulnerabilities by CVE age
- Exclude vulnerabilities using STO output variables
- Block the pipeline based on the code coverage results
Exclude vulnerabilities by severity
Apply a policy to a scan step to warn or block on any vulnerabilities with the specified severity.
You must copy the entire sample code from the OPA policy library, as described in Create a new Security Tests OPA policy.
Here is a sample policy that you can evaluate using the On Step event for a scan step.
This policy sample supports the following vulnerabilities only: Critical
, High
, Medium
, Low
, and Info
. To create policies based on output variables such as NEW_CRITICAL
, go to Exclude vulnerabilities using STO output variables.
package securityTests
import future.keywords.in
import future.keywords.if
# Define a set of severities that are denied (Critical, High, Medium, Low, Info)
# The following example denies if the scan results include any issue with a severity of Critical or High.
deny_list := fill_defaults([
{
"severity": {"value": "Critical", "operator": "=="}
},
{
"severity": {"value": "High", "operator": "=="}
}
])
Exclude vulnerabilities by reference ID
Apply a policy to a scan step to warn or block on any vulnerabilities in a specific list of CVEs or CWEs.
You must copy the entire sample code from the OPA policy library, as described in Create a new Security Tests OPA policy.
Here is a sample policy that you can evaluate using the On Step event for a scan step.
package securityTests
import future.keywords.in
import future.keywords.if
# Define a set of reference-identifiers that are denied
# The following policy denies if the scan results include any occurrence of
# - cwe-772
# - cve-2019-14250
# - CWE-772
# - CVE-2019-14250
deny_list := fill_defaults([
{
"refId": {"value": "772", "operator": "=="},
"refType": {"value": "cwe", "operator": "=="}
},
{
"refId": {"value": "772", "operator": "=="},
"refType": {"value": "CWE", "operator": "=="}
},
{
"refId": {"value": "2019-14250", "operator": "=="},
"refType": {"value": "cve", "operator": "=="}
},
{
"refId": {"value": "2019-14250", "operator": "=="},
"refType": {"value": "CVE", "operator": "=="}
}
])
Exclude vulnerabilities by title
Apply a policy to a scan step to warn or block on any vulnerabilities in a specific list of issue titles.
You must copy the entire sample code from the OPA policy library, as described in Create a new Security Tests OPA policy.
You can use the ~
operator to find titles based on Python regular expressions.
Here is a sample policy that you can evaluate using the On Step event for a scan step.
package securityTests
import future.keywords.in
import future.keywords.if
# Define a set of titles that are denied
# The following example denies if the scan results include any issues related to `tar@1.34` or `libsqlite3`
deny_list := fill_defaults([
{
"title": {"value": "tar@1.34", "operator": "~"}
},
{
"title": {"value": "libsqlite3", "operator": "~"}
}
])
Exclude vulnerabilities by number of occurrences
Apply a policy to a scan step to warn or block vulnerabilities based on a set of titles and the maximum allowed number of occurrences for each vulnerability.
You must copy the entire sample code from the OPA policy library, as described in Create a new Security Tests OPA policy.
You can use the ~
operator to find titles based on Python regular expressions.
Here is a sample policy that you can evaluate using the On Step event for a scan step.
package securityTests
import future.keywords.in
import future.keywords.if
# Define a set of titles and maximum occurrences that are denied
# The following example denies on scan results with more than 25 occurrences of TAR- or cURL-related issues
deny_list := fill_defaults([
{
"title": {"value": ".*tar.*", "operator": "~"},
"maxOccurrences": {"value": 25, "operator": ">="},
},
{
"title": {"value": ".*curl.*", "operator": "~"},
"maxOccurrences": {"value": 25, "operator": ">="},
}
])
Exclude vulnerabilities by CVE age
Apply a policy to a scan step to warn or block vulnerabilities based on CVEs by severity and age.
You must copy the entire sample code from the OPA policy library, as described in Create a new Security Tests OPA policy.
Here is a sample policy that you can evaluate using the On Step event for a scan step.
package securityTests
import future.keywords.in
import future.keywords.if
# Define a set of CVE ages (as old/older than given year) and severities (equal/greater than) that are denied
# This example denies CVEs for any of the following filters:
# - Critical severities, new (2021 or earlier)
# - High severities, old (2018 or earlier)
# - Medium severities, very old (2015 or earlier)
deny_list := fill_defaults([
{
"year": {"value": 2023, "operator": "<="},
"severity": {"value": "Critical", "operator": "=="}
},
{
"year": {"value": 2018, "operator": ">="},
"severity": {"value": "High", "operator": "=="}
},
{
"year": {"value": 214, "operator": "<="},
"severity": {"value": "Medium", "operator": "=="}
}
])
Exclude vulnerabilities using STO output variables
You can create policies based on the output variables generated by an STO scan step.
For example, suppose you want a policy to warn or block if a scan step finds any new vulnerabilities with severities of Critical or High. In this case, you can create a policy with the following OPA code:
package pipeline_environment
# Warn or block if the scan step detects any NEW_CRITICAL or NEW_HIGH vulnerabilities
deny[sprintf("Scan can't contain any NEW_CRITICAL vulnerability '%s'", [input[_].outcome.outputVariables.NEW_CRITICAL])] {
input[_].outcome.outputVariables.NEW_CRITICAL != "0"
}
deny[sprintf("Scan can't contain any high vulnerability '%s'", [input[_].outcome.outputVariables.NEW_HIGH])] {
input[_].outcome.outputVariables.NEW_HIGH != "0"
}
Block the pipeline based on the code coverage results
Apply a policy to the scan step to either warn or block the pipeline based on the code coverage value. You can use the sample policy Security Test - Code Coverage. Below is a sample policy for reference:
package securityTests
import future.keywords.in
import future.keywords.if
# Define a set of Output Variables that are denied
deny_list :=([
# Fail if CODE_COVERAGE is less than 50.0
{
"name": "CODE_COVERAGE", "value": 50.0, "operator": "<"
},
# Optionally define more Output Variables here
# {
# "name": "HIGH", "value": 0, "operator": ">"
# }
])