Dataflow job enable hotkey logging set remediation

Triage and Remediation

Remediation

Using Console

Using CLI

To remediate the “Dataflow Jobs Hotkey Logging Should Be Enabled” misconfiguration in GCP using GCP CLI, you can follow these steps:

Open the Cloud Shell in the GCP Console.
Run the following command to enable hotkey logging for Dataflow jobs:

gcloud config set dataflow/logging_severity "INFO"

Run the following command to verify that hotkey logging is enabled:

gcloud config get-value dataflow/logging_severity

If the output of the above command is “INFO”, then hotkey logging is enabled.

By following these steps, you can remediate the “Dataflow Jobs Hotkey Logging Should Be Enabled” misconfiguration in GCP using GCP CLI.

Using Python

To remediate the “Dataflow Jobs Hotkey Logging Should Be Enabled” misconfiguration in GCP using Python, you can follow these steps:

Import the necessary libraries:

from googleapiclient import discovery
from oauth2client.client import GoogleCredentials

Set up the credentials:

credentials = GoogleCredentials.get_application_default()
service = discovery.build('logging', 'v2', credentials=credentials)

Define the project ID:

project_id = 'your-project-id'

Define the log name:

log_name = 'dataflow.googleapis.com%2Fjob_message'

Define the filter:

filter_str = 'resource.type="dataflow_step" AND severity>=ERROR AND textPayload:"hotkey"'

Define the sink name:

sink_name = 'hotkey-sink'

Check if the sink exists:

sinks = service.sinks().list(projectId=project_id).execute()
if sink_name in [sink['name'] for sink in sinks['sinks']]:
    print(f"Sink {sink_name} already exists.")
else:
    print(f"Sink {sink_name} does not exist.")

If the sink does not exist, create it:

if sink_name not in [sink['name'] for sink in sinks['sinks']]:
    sink = {
        'name': sink_name,
        'destination': f'bigquery.googleapis.com/projects/{project_id}/datasets/hotkey_sink',
        'filter': filter_str,
        'outputVersionFormat': 'V2'
    }
    service.sinks().create(projectId=project_id, body=sink).execute()
    print(f"Sink {sink_name} created.")

If the sink exists, update it:

else:
    sink_uri = f"projects/{project_id}/sinks/{sink_name}"
    sink = service.sinks().get(sinkName=sink_uri).execute()
    if sink['filter'] == filter_str:
        print(f"Sink {sink_name} already has the correct filter.")
    else:
        sink['filter'] = filter_str
        service.sinks().update(sinkName=sink_uri, body=sink).execute()
        print(f"Sink {sink_name} updated.")

Verify that the sink has been created or updated:

sinks = service.sinks().list(projectId=project_id).execute()
if sink_name in [sink['name'] for sink in sinks['sinks']]:
    sink_uri = f"projects/{project_id}/sinks/{sink_name}"
    sink = service.sinks().get(sinkName=sink_uri).execute()
    print(f"Sink {sink_name} has filter: {sink['filter']}")
else:
    print(f"Sink {sink_name} not found.")

These steps will create or update a sink in GCP that logs hotkeys for Dataflow jobs.

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Dataflow job enable hotkey logging set remediation

Triage and Remediation

Remediation

GCP Introduction

GCP Pricing

GCP Threats

GCP Misconfigurations

Resources

GCP Threats

​Triage and Remediation

​Remediation

Triage and Remediation

Remediation