For AI agents: A markdown version of this page is available at https://docs.datadoghq.com/security/code_security/iac_security/iac_rules/terraform-databricks-databricks-permissions.md. A documentation index is available at /llms.txt.

Databricks cluster or job with no or insecure permissions

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Metadata

Id: terraform-databricks-databricks-permissions

Provider: Databricks

Platform: Terraform

Severity: High

Category: Insecure Configurations

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Description

This rule verifies that each databricks_job and databricks_cluster resource has an associated databricks_permissions resource referencing it via job_id or cluster_id.

It also flags any databricks_permissions resource with permission_level == "IS_OWNER" that lacks an associated service_principal_name. Reported findings include documentId, resourceType, resourceName, searchKey, issueType, keyExpectedValue, and keyActualValue.

Compliant Code Examples

resource "databricks_job" "negative1" {
  name                = "Featurization"
  max_concurrent_runs = 1

  new_cluster {
    num_workers   = 300
    spark_version = data.databricks_spark_version.latest.id
    node_type_id  = data.databricks_node_type.smallest.id
  }

  notebook_task {
    notebook_path = "/Production/MakeFeatures"
  }
}

resource "databricks_permissions" "negative1" {
  job_id = databricks_job.negative1.id

  access_control {
    group_name       = "users"
    permission_level = "CAN_VIEW"
  }

  access_control {
    group_name       = databricks_group.auto.display_name
    permission_level = "CAN_MANAGE_RUN"
  }

  access_control {
    group_name       = databricks_group.eng.display_name
    permission_level = "CAN_MANAGE"
  }

  access_control {
    service_principal_name = databricks_service_principal.aws_principal.application_id
    permission_level       = "IS_OWNER"
  }
}

resource "databricks_cluster" "negative2" {
  cluster_name            = "Shared Autoscaling"
  spark_version           = data.databricks_spark_version.latest.id
  node_type_id            = data.databricks_node_type.smallest.id
  autotermination_minutes = 60
  autoscale {
    min_workers = 1
    max_workers = 10
  }
}

resource "databricks_permissions" "negative2" {
  cluster_id = databricks_cluster.negative2.id

  access_control {
    group_name       = databricks_group.auto.display_name
    permission_level = "CAN_ATTACH_TO"
  }

  access_control {
    group_name       = databricks_group.eng.display_name
    permission_level = "CAN_RESTART"
  }

  access_control {
    group_name       = databricks_group.ds.display_name
    permission_level = "CAN_MANAGE"
  }
}

resource "databricks_job" "negative3" {
  name                = "Featurization"
  max_concurrent_runs = 1

  new_cluster {
    num_workers   = 300
    spark_version = data.databricks_spark_version.latest.id
    node_type_id  = data.databricks_node_type.smallest.id
  }

  notebook_task {
    notebook_path = "/Production/MakeFeatures"
  }
}

resource "databricks_permissions" "negative3" {
  job_id = databricks_job.negative3.id

  access_control {
    service_principal_name = databricks_service_principal.aws_principal.application_id
    permission_level       = "IS_OWNER"
  }
}

Non-Compliant Code Examples

resource "databricks_job" "positive1" {
  name                = "Featurization"
  max_concurrent_runs = 1

  new_cluster {
    num_workers   = 300
    spark_version = data.databricks_spark_version.latest.id
    node_type_id  = data.databricks_node_type.smallest.id
  }

  notebook_task {
    notebook_path = "/Production/MakeFeatures"
  }
}

resource "databricks_job" "positive1_error" {
  name                = "Featurization"
  max_concurrent_runs = 1

  new_cluster {
    num_workers   = 300
    spark_version = data.databricks_spark_version.latest.id
    node_type_id  = data.databricks_node_type.smallest.id
  }

  notebook_task {
    notebook_path = "/Production/MakeFeatures"
  }
}

resource "databricks_permissions" "positive1" {
  job_id = databricks_job.positive1.id

  access_control {
    group_name       = "users"
    permission_level = "CAN_VIEW"
  }

  access_control {
    group_name       = databricks_group.auto.display_name
    permission_level = "CAN_MANAGE_RUN"
  }

  access_control {
    group_name       = databricks_group.eng.display_name
    permission_level = "CAN_MANAGE"
  }

  access_control {
    service_principal_name = databricks_service_principal.aws_principal.application_id
    permission_level       = "IS_OWNER"
  }
}

resource "databricks_cluster" "positive2" {
  cluster_name            = "Shared Autoscaling"
  spark_version           = data.databricks_spark_version.latest.id
  node_type_id            = data.databricks_node_type.smallest.id
  autotermination_minutes = 60
  autoscale {
    min_workers = 1
    max_workers = 10
  }
}

resource "databricks_cluster" "positive2_error" {
  cluster_name            = "Shared Autoscaling"
  spark_version           = data.databricks_spark_version.latest.id
  node_type_id            = data.databricks_node_type.smallest.id
  autotermination_minutes = 60
  autoscale {
    min_workers = 1
    max_workers = 10
  }
}

resource "databricks_permissions" "positive2" {
  cluster_id = databricks_cluster.positive2.id

  access_control {
    group_name       = databricks_group.auto.display_name
    permission_level = "CAN_ATTACH_TO"
  }

  access_control {
    group_name       = databricks_group.eng.display_name
    permission_level = "CAN_RESTART"
  }

  access_control {
    group_name       = databricks_group.ds.display_name
    permission_level = "CAN_MANAGE"
  }
}

resource "databricks_job" "positive3" {
  name                = "Featurization"
  max_concurrent_runs = 1

  new_cluster {
    num_workers   = 300
    spark_version = data.databricks_spark_version.latest.id
    node_type_id  = data.databricks_node_type.smallest.id
  }

  notebook_task {
    notebook_path = "/Production/MakeFeatures"
  }
}

resource "databricks_permissions" "positive3" {
  job_id = databricks_job.positive3.id

  access_control {
    group_name       = "users"
    permission_level = "CAN_VIEW"
  }

  access_control {
    group_name       = databricks_group.auto.display_name
    permission_level = "CAN_MANAGE_RUN"
  }

  access_control {
    group_name       = databricks_group.eng.display_name
    permission_level = "CAN_MANAGE"
  }

  access_control {
    group_name       = databricks_group.eng.display_name
    permission_level = "IS_OWNER"
  }
}