Google.cloud.run.v1.jobs.deleteexecution

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Event Information

• The google.cloud.run.v1.Jobs.DeleteExecution event in GCP for CloudRun indicates the deletion of a specific execution within a job.
• This event is triggered when a user or an automated process initiates the deletion of an execution in CloudRun.
• The event provides information about the execution that was deleted, such as its ID, job name, and any associated metadata.

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Examples

1. Unauthorized access: If security is impacted with google.cloud.run.v1.Jobs.DeleteExecution in GCP for CloudRun, it could indicate that unauthorized individuals or entities are able to delete job executions without proper authentication or authorization. This could lead to data loss, disruption of critical processes, or unauthorized access to sensitive information.
2. Lack of audit trail: If security is impacted with google.cloud.run.v1.Jobs.DeleteExecution in GCP for CloudRun, it may suggest that there is no proper logging or auditing mechanism in place to track and monitor the deletion of job executions. This can make it difficult to identify and investigate any malicious or unauthorized activities, hindering incident response and compliance efforts.
3. Inadequate access controls: If security is impacted with google.cloud.run.v1.Jobs.DeleteExecution in GCP for CloudRun, it could indicate that the access controls for managing job executions are not properly configured. This may result in unauthorized users or roles having the ability to delete job executions, potentially leading to data loss, service disruption, or unauthorized modifications to critical processes.

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Remediation

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Using Console

1. Enable VPC Service Controls:
   • Go to the GCP Console and navigate to the Cloud Run service.
   • Select the specific Cloud Run service you want to remediate.
   • Click on “Edit and Deploy New Revision” to access the service settings.
   • Scroll down to the “Security” section and click on “Enable VPC Service Controls”.
   • Follow the prompts to configure the VPC Service Controls for the Cloud Run service.
   • Save the changes and wait for the configuration to take effect.
2. Implement Identity and Access Management (IAM) Roles:
   • Go to the GCP Console and navigate to the Cloud Run service.
   • Select the specific Cloud Run service you want to remediate.
   • Click on “Edit and Deploy New Revision” to access the service settings.
   • Scroll down to the “Security” section and click on “Show Info Panel”.
   • Click on “Add Member” to add the appropriate IAM roles for the service.
   • Assign the necessary roles to the relevant users or service accounts.
   • Save the changes and ensure that the IAM roles are properly configured.
3. Enable Cloud Audit Logging:
   • Go to the GCP Console and navigate to the Cloud Run service.
   • Select the specific Cloud Run service you want to remediate.
   • Click on “Edit and Deploy New Revision” to access the service settings.
   • Scroll down to the “Security” section and click on “Show Info Panel”.
   • Enable the “Cloud Audit Logging” option to capture audit logs for the service.
   • Configure the desired log retention period and log sink destination.
   • Save the changes and verify that the Cloud Audit Logging is enabled and functioning correctly.

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Using CLI

1. Enable VPC Service Controls for Cloud Run:

• Use the following command to enable VPC Service Controls for Cloud Run:
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  Ask AI

  gcloud services vpc-peerings connect \
  --service=servicenetworking.googleapis.com \
  --network=projects/[PROJECT_ID]/global/networks/[NETWORK_NAME]
  

2. Implement Identity and Access Management (IAM) Roles:

• Grant the necessary IAM roles to the appropriate users or service accounts using the following command:
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  Ask AI

  gcloud projects add-iam-policy-binding [PROJECT_ID] \
  --member=[MEMBER] \
  --role=[ROLE]
  

3. Enable Cloud Audit Logging for Cloud Run:

• Use the following command to enable Cloud Audit Logging for Cloud Run:
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  Ask AI

  gcloud logging sinks create [SINK_NAME] \
  storage.googleapis.com/projects/[PROJECT_ID]/buckets/[BUCKET_NAME] \
  --log-filter='resource.type="cloud_run_revision"'
  

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Using Python

1. Implement proper authentication and access controls:
   • Use the Google Cloud SDK and authenticate with a service account that has the necessary permissions to access and manage CloudRun resources.
   • Use the google-auth library in Python to authenticate requests made to the CloudRun API.
   • Ensure that the service account used has the least privilege necessary to perform the required actions.
2. Enable logging and monitoring:
   • Use the google-cloud-logging library in Python to enable logging for your CloudRun service.
   • Configure log sinks to export logs to a centralized logging solution like Stackdriver or Cloud Logging.
   • Set up alerts and notifications based on specific log events or metrics using Cloud Monitoring.
3. Implement secure communication:
   • Use HTTPS for all incoming and outgoing requests to your CloudRun service.
   • Configure SSL certificates for your custom domains using the google-cloud-ssl-certificates library in Python.
   • Implement proper input validation and sanitization to prevent common security vulnerabilities like SQL injection or cross-site scripting (XSS).