Playbook polling - Administrator Guide - 8 - Cortex XSOAR - Cortex - Security Operations

Cortex XSOAR Cloud Documentation

Product
Cortex XSOAR
Version
8
Creation date
2024-03-07
Last date published
2024-10-09
Category
Administrator Guide
Solution
Cloud
Abstract

Generic Polling playbook enables you to periodically poll the status of a process on a remote host.

When working with third-party products (such as detonation, scan, search, and other third-party products) you may need to wait for a process to finish on the remote host before continuing. In these cases, the playbook should stop and wait for the process to complete on the third-party product, and continue when it is done. Integrations or automations may not be able to do this due to hardware limitations.

Generally, polling is used in the following scenarios:

  • File detonation in a sandbox

  • URL detonation

  • Queries that take a long time to complete

To use polling, Cortex XSOAR comes out-of-the-box with the GenericPolling playbook, which periodically polls the status of a process being executed on a remote host, and when the host returns that the process execution is done, the playbook finishes execution. For more information about using this playbook, see Generic Polling.

The GenericPolling playbook is used as a sub-playbook to block the execution of the main playbook until the remote action is complete. There are a number of playbooks that use the GenericPolling playbook that come out-of-the-box or installed from a content pack, such as:

See this video for more information on how to use generic polling in Cortex XSOAR.

Danger

You need to use the GenericPolling playbook as a sub-playbook in a main playbook, such as Detonate File - JoeSecurity.

The main playbook should follow this structure:

  1. Start Command: The task contains a command that fetches the initial state of the process and saves it to context. This command starts the process that should be polled. For example:

    Detonation: Submits a sample for analysis (detonated as part of the analysis), using the joe-analysis-submit-sample command.

    Scan: Starts a scan for specified asset IP addresses and host names using the nexpose-start-assets-scan command.

    Search: Searches in QRadar using AQL using the qradar-searches command.

  2. Polling Command: The task contains the GenericPolling sub-playbook that polls for an answer. For example:

    • Detonation: After the file is submitted to Joe Security, the playbook polls for specific information for analysis, such as ID, status, comments, errors, SHA-256 hash details.

    • Scan: After the scan runs in Nexpose, using the playbook polls for scan information such as the scan type, the number of assets found, the scan ID, and other information.

    • Search: The playbook runs the qradar-get-search to poll for the search ID and status.

  3. Results Task: Returns the results of the operation. The task contains the results that were polled, which are added to context. For example, after polling JoeSecurity, the results are added to context.

For information about the GenericPolling playbook inputs such as Ids, Interval, and dt, see Playbook inputs.

Example 17. 

This generic polling example uses the Detonate File - JoeSecurity playbook from the Joe Security content pack.

The Detonate File - JoeSecurity playbook detonates one or more files using the Joe Security integration and returns relevant reports to the War Room and file reputations to the context data.

  1. If you have not done so, go to Marketplace and download the Joe Security content pack.

  2. Go to Playbooks and search for Detonate File - JoeSecurity.

  3. Open the JoeSecurity Upload File task. This task uses the joe-analysis-submit-sample command, which starts a new analysis of a file in Joe Security. This is the Start command.

  4. Open the GenericPolling task. This is the Polling command.

    • Ids: Returns a list of Joe.Analysis.ID’s to poll.

    • PollingCommandName: The joe-analysis-info command returns information for a specified analysis, such as status, MD5, SHA256, vendor.

    • PollingCommandArgName: The webid argument name of the polling command.

    • dt: The filter for polling. This is defined as Joe.Analysis(val.Status!==’finished’).ID.

      Joe.Analysis: The object to return.

      (val.Status !==‘finished’).ID Gets the object that has a status other than ‘finished’, and then gets its ID field. The polling is done only when the result is finished. When finished, the dt filter returns an empty result, which triggers the playbook to stop running.

      You can change the Status to: starting, running, or finished.

      generic-eg.png
  5. Open the JoeSecurity Get Info task. The joe-analysis-info command returns details of the IDs that have finished polling. This is the Results task.

  6. Open the Set Context task. The context path to store the poll results is Joe.Analysis.


GenericPolling playbook limitations

The GenericPolling playbook has the following limitations.

  • Global context is not supported.

    Global context outputs enable receiving information from multiple integrated products when executing playbooks and commands.

  • It does not run from the Playground.

  • It uses the ScheduleGenericPolling script, which must support a list argument.

    generic-limit.png
Troubleshoot playbook polling

The following are common generic polling issues and the recommended ways to deal with them.

  • The playbook is “stuck” on Waiting for polling to complete.

    As generic polling schedules tasks are outside the context of the playbook (not visible in the playbook run), errors may appear only in the War Room. Go to the War Room for the incident and check for errors or warnings related to GenericPolling tasks.

  • The GenericPolling task completes but the status has still not "finished".

    If the timeout is reached, the playbook successfully finishes even if there are items that did not complete. Try increasing the timeout value for the GenericPolling task.

  • The integration returns an ID not found error when running from the GenericPolling sub-playbook, but when running manually, it finishes successfully.

    Some products cannot handle consecutive requests to query an action status right after the request to perform the action. After you initiate the action, try adding a Sleep task before calling the GenericPolling sub-playbook.