Google.cloud.run.v2.revisions.deleterevision

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Event Information

• The google.cloud.run.v2.Revisions.DeleteRevision event in GCP for CloudRun indicates that a revision of a Cloud Run service has been deleted.
• This event is triggered when a user or an automated process deletes a specific revision of a Cloud Run service.
• The event provides information about the deleted revision, such as its name, service name, and the project ID it belongs to.

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Examples

1. Unauthorized deletion: If security is impacted with google.cloud.run.v2.Revisions.DeleteRevision in GCP for CloudRun, it could mean that unauthorized individuals or processes are able to delete revisions of your CloudRun services. This could lead to the loss of critical code or configurations, potentially impacting the availability and functionality of your applications.
2. Data loss: If security is impacted with google.cloud.run.v2.Revisions.DeleteRevision in GCP for CloudRun, it could result in the accidental or malicious deletion of revisions that contain important data. This could lead to data loss and potential compliance violations, especially if the deleted revisions contain sensitive or regulated information.
3. Service disruption: If security is impacted with google.cloud.run.v2.Revisions.DeleteRevision in GCP for CloudRun, it could result in the disruption of your CloudRun services. If a revision is deleted, it may take time and effort to restore or recreate it, causing downtime and impacting the availability of your applications. This can have negative consequences for your business operations and user experience.

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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 such as “Cloud Run Invoker” or “Cloud Run Admin” 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 Cloud Run service.
   • Configure the desired log retention period and log sink destination if necessary.
   • Save the changes and ensure that the Cloud Audit Logging is enabled for the service.

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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 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).