Install a Cortex XSOAR Engine - Administrator Guide - 6.10 - Cortex XSOAR - Cortex - Security Operations

Cortex XSOAR Administrator Guide

Product
Cortex XSOAR
Version
6.10
Creation date
2022-10-13
Last date published
2024-02-21
End_of_Life
EoL
Category
Administrator Guide
Abstract

Install, deploy and configure Cortex XSOAR engines.

Before you install the engine, you need to define the base URL in the Settings page so the engine can communicate with the server. The base URL is the external IP address of your Cortex XSOAR server. If you do not define the base URL, you need to add it to the d1.conf file after you create the engine.

When you install the engine, the d1.config is installed on the engine machine, which contains engine properties such as proxy, log level, log files, etc. If Docker/Podman is already installed, the python.engine.docker and powershell.engine.docker key is set to true. If Docker or Podman is not available when the engine is installed, the key is set to false. If so, you need to set the key to true. Verify that python.engine.docker and powershell.engine.docker configuration key is present in the d1.conf file.

For engines running on a Windows machine, add the following keys to the d1.config file:

  • The python.runner.loop.script.path configuration key with the path to the _script_docker_python_loop.py file (located in the engine’s installation folder). The path to the _script_docker_python_loop.py must be taken from WSL installed on the Windows machine (for example, /mnt/c/Users/<customer user>/Desktop/<customer engine folder>/_script_docker_python_loop.py).

  • The powershell.runner.loop.script.path configuration key with the WSL path to the _script_docker_powershell_loop.ps1 file (also located in engine’s installation folder).

After you install and deploy an engine, there are several ways that you can Manage Engines. For Linux systems, you can run Python integrations on an engine. Ensure you have Python 2.7 or later installed on the engine machine. Running Python integrations needs to be through Docker.

  1. Define the base URL.

    1. Go to SettingsAboutTroubleshooting.

    2. From the Server Configuration section, in the Base URL (for D2 Agents and Engines) type the Base URL.

      For example, for https://ec2-54-228-48-128.eu-west-1.compute.amazonaws.com/, type eu-west-1.compute.amazonaws.com

      Tip

      We recommend using the FQDN (fully qualified domain name). If the engine does not have an external address, the IP address can be used instead of the FQDN. For high availability environments or multi-tenant deployments, the FQDN should always be used.

  2. Create an engine.

    1. Select SettingsIntegrationsEnginesCreate New Engine.

    2. In the Engine Name field, add a meaningful name for the engine.

    3. Select one of the installer types from the dropdown list.

      For Linux systems it is recommended to use the Shell installer.

    4. (Optional) (Shell only) Select the checkbox to enable multiple engines to run on the same machine.

      If you have an existing engine, you did not select the checkbox, and you want to install another engine on the same machine, you need to delete the existing engine.

    5. (Optional) Add any required configuration in JSON format.

    6. Click Create New Engine.

  3. For Shell installation, do the following:

    1. Move the .sh file to the engine machine using a tool like SSH or PuTTY.

    2. On the engine machine, grant execution permission by running the following command:

      chmod +x <engine-file-path>

    3. Install the engine by typing one of the following commands:

      With tools: sudo ./d1-<engine-name>-<XSOAR-version>-xxxxxxx.sh

      Without tools: sudo ./d1-<engine-name>-<XSOAR-version>-xxxxxxx.sh -- -tools=false

      For example: sudo ./d1-engine1-6.6-2458567.sh -- -tools=false

      If you receive a permissions denied error, it is likely that you do not have permission to access the /tmp directory.

  4. For RPM/DEB installation do the following:

    1. Move the file to the required machine using a tool like SSH or PuTTY.

    2. Type one of the following installation commands:

      Machine Type

      Install Command

      CentOS/RHEL (RPM)

      sudo rpm -Uvh d1-2.5_15418-1.x86_64.rpm

      Ubuntu (DEB)

      sudo dpkg --install d1_xxx_amd64.deb

    3. Start the engine by running one of the following commands:

      Machine Type

      Start Command

      CentOS/RHEL (RPM)

      sudo systemctl start d1

      Ubuntu (DEB)

      sudo service d1 restart

  5. For zip file installation, do the following.

    1. Move the d1 zip file to the engine machine using a tool like WinSCP.

    2. Unzip the file and move it to any location you require.

    3. Open the file and run the d1_windows_amd64.exe file.

      Every time you want to connect to Cortex XSOAR you need to run the D1 Application file.

  6. Use an Engine in an Integration.

  7. (Optional) If you experience performance issues you may need to Configure the Number of Workers for the Server. To troubleshoot installation, upgrade, connectivity, or issues with integrations, see Troubleshoot Cortex XSOAR Engines.