​
Event Information

  • The google.logging.v2.ConfigServiceV2.DeleteSink event in GCP for Logging indicates that a sink has been deleted from the logging configuration.
  • This event is triggered when a user or an automated process removes a sink, which is responsible for exporting logs to external destinations.
  • It is important to monitor this event to track any changes in the logging configuration and ensure that the deletion of sinks is intentional and aligned with the desired logging setup.

​
Examples

  1. Unauthorized deletion of sinks: If security is impacted with google.logging.v2.ConfigServiceV2.DeleteSink in GCP for Logging, it could potentially allow unauthorized users to delete sinks. This can lead to the loss of important log data and disrupt the monitoring and analysis of logs, impacting the overall security posture of the system.

  2. Data loss or exposure: If an attacker gains access to the google.logging.v2.ConfigServiceV2.DeleteSink API, they could potentially delete sinks that are critical for log retention and analysis. This can result in the loss of valuable log data, making it difficult to investigate security incidents or identify potential threats. Additionally, if the deleted sinks contain sensitive information, it could lead to data exposure and compromise the confidentiality of the system.

  3. Impact on compliance requirements: Deleting sinks using the google.logging.v2.ConfigServiceV2.DeleteSink API without proper authorization or controls can have implications on compliance requirements. Many regulatory standards, such as PCI DSS or HIPAA, require organizations to retain and protect log data for a specific period. Unauthorized deletion of sinks can result in non-compliance and potential legal and financial consequences. It is crucial to ensure proper access controls and monitoring mechanisms are in place to mitigate the security risks associated with this API.

​
Remediation

​
Using Console

  1. Enable GCP Logging:
  • Open the GCP Console and navigate to the Logging page.
  • Click on “Logs Explorer” in the left-hand menu.
  • Select the project for which you want to enable logging.
  • Click on “Create Sink” to create a new log sink.
  • Choose the log type you want to enable (e.g., Admin Activity, Data Access, System Event).
  • Configure the filter to specify the logs you want to capture.
  • Choose the destination for the logs (e.g., Cloud Storage, BigQuery, Pub/Sub).
  • Click on “Create Sink” to enable logging for the selected log type.
  1. Create Log-Based Metrics:
  • Open the GCP Console and navigate to the Logging page.
  • Click on “Metrics Explorer” in the left-hand menu.
  • Click on “Create Metric” to create a new log-based metric.
  • Specify the metric name and description.
  • Configure the filter to match the logs you want to use for the metric.
  • Choose the aggregation type and value to calculate the metric.
  • Click on “Create Metric” to save the log-based metric.
  1. Create Alerting Policies:
  • Open the GCP Console and navigate to the Monitoring page.
  • Click on “Alerting” in the left-hand menu.
  • Click on “Create Policy” to create a new alerting policy.
  • Specify the policy name and description.
  • Configure the conditions for triggering the alert (e.g., log-based metric, threshold).
  • Choose the notification channels to receive the alert (e.g., email, SMS).
  • Set the frequency and duration for the alert evaluation.
  • Click on “Save” to create the alerting policy.

Note: The steps provided are general guidelines and may vary depending on the specific GCP console version and interface. It is recommended to refer to the official GCP documentation for detailed and up-to-date instructions.

​
Using CLI

  1. Enable GCP Logging for a specific project:

    • Use the command gcloud logging project-logs enable [PROJECT_ID] to enable GCP Logging for a specific project.
    • Replace [PROJECT_ID] with the ID of the project you want to enable logging for.

  2. Create a GCP Logging sink to export logs to Cloud Storage:

    • Use the command gcloud logging sinks create [SINK_NAME] storage.googleapis.com/[BUCKET_NAME] --log-filter="[LOG_FILTER]" to create a logging sink.
    • Replace [SINK_NAME] with the desired name for the sink.
    • Replace [BUCKET_NAME] with the name of the Cloud Storage bucket where you want to export the logs.
    • Replace [LOG_FILTER] with the filter expression to specify the logs you want to export.

  3. Configure GCP Logging to send logs to Cloud Pub/Sub:

    • Use the command gcloud logging sinks create [SINK_NAME] pubsub.googleapis.com/projects/[PROJECT_ID]/topics/[TOPIC_NAME] --log-filter="[LOG_FILTER]" to create a logging sink.
    • Replace [SINK_NAME] with the desired name for the sink.
    • Replace [PROJECT_ID] with the ID of the project.
    • Replace [TOPIC_NAME] with the name of the Cloud Pub/Sub topic where you want to send the logs.
    • Replace [LOG_FILTER] with the filter expression to specify the logs you want to send.

​
Using Python

To remediate GCP Logging issues using Python, you can use the following approaches:

  1. Enable GCP Logging API:

    • Use the google-cloud-logging library to enable the GCP Logging API.
    • Install the library using pip install google-cloud-logging.
    • Use the following Python script to enable the GCP Logging API:
    from google.cloud import logging_v2

def enable_logging_api(project_id):
    client = logging_v2.LoggingServiceV2Client()
    project_name = f"projects/{project_id}"
    client.update_project(project_name, {"logging_service": "logging.googleapis.com"})

enable_logging_api("your-project-id")

  2. Create a Log Sink:

    • Use the google-cloud-logging library to create a log sink.
    • Install the library using pip install google-cloud-logging.
    • Use the following Python script to create a log sink:
    from google.cloud import logging_v2

def create_log_sink(project_id, sink_name, destination_bucket):
    client = logging_v2.ConfigServiceV2Client()
    project_name = f"projects/{project_id}"
    sink = {
        "name": sink_name,
        "destination": f"storage.googleapis.com/{destination_bucket}",
        "filter": "severity >= ERROR",
    }
    client.create_sink(project_name, sink)

create_log_sink("your-project-id", "your-sink-name", "your-destination-bucket")

  3. Export Logs to BigQuery:

    • Use the google-cloud-logging library to export logs to BigQuery.
    • Install the library using pip install google-cloud-logging.
    • Use the following Python script to export logs to BigQuery:
    from google.cloud import logging_v2

def export_logs_to_bigquery(project_id, dataset_id, table_id):
    client = logging_v2.ConfigServiceV2Client()
    project_name = f"projects/{project_id}"
    destination = f"bigquery.googleapis.com/projects/{project_id}/datasets/{dataset_id}/tables/{table_id}"
    sink = {
        "name": "export-logs-to-bigquery",
        "destination": destination,
        "filter": "severity >= ERROR",
    }
    client.create_sink(project_name, sink)

export_logs_to_bigquery("your-project-id", "your-dataset-id", "your-table-id")

Please note that you need to replace the placeholders (your-project-id, your-sink-name, your-destination-bucket, your-dataset-id, your-table-id) with the actual values specific to your GCP environment.