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Forcepoint Next-Gen Firewall and Azure Sentinel

Table of contents
  1. Forcepoint Next-Gen Firewall and Azure Sentinel
  2. Summary
    1. Demo
    2. Source Code
    3. Caveats
  3. Implementation
    1. Step 1 – Set up Azure Sentinel integration
    2. Step 2 – Configure SMC to allow connections from API clients
    3. Step 3 – Creating custom log filters from SMC
      1. Example of common log queries
      2. Adding extra filters
      3. Removing extra filters
    4. Step 4 – Configuration and installation of the SMC2CLOUD service
    5. Appendix A – Configuration parameters
    6. Appendix B – Create a Workbook into Azure Sentinel
  4. Troubleshooting
    1. Validate the prerequisites
    2. Check network connectivity
    3. Check dependencies are installed
License

These contents are licensed under Apache License, Version 2.0. http://www.apache.org/licenses/LICENSE-2.0

TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, THE SITE AND ITS CONTENT IS PROVIDED TO YOU ON AN “AS IS,” “AS AVAILABLE” AND “WHERE-IS” BASIS. ALL CONDITIONS, REPRESENTATIONS AND WARRANTIES WITH RESPECT TO THE SITE OR ITS CONTENT, WHETHER EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, INCLUDING ANY IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR NON-INFRINGEMENT OF THIRD PARTY RIGHTS, ARE HEREBY DISCLAIMED

Document Revision
Version Date Author Notes
0.1 12 December 2019 Tom Meaney First draft
0.2 12 December 2019 Mattia Maggioli Review
0.3 18 December 2019 Tom Meaney Update
0.4 18 December 2019 Mattia Maggioli Review
0.5 23 March 2020 Neelima Rai Added troubleshooting chapter
0.6 22 July 2020 Neelima Rai Added hardware requirements

Summary

This guide provides step by step instructions to integrate Forcepoint Next Generation Firewall (Forcepoint NGFW) with Azure Sentinel to export pertinent log data from the NGFW according to user-configured filters.

The code and instructions provided enable system administrators to automatically

  • Export log events from NGFW into Azure Sentinel in real-time

  • Ingest logs into Azure Sentinel log analytics and visualize relevant events using Workbooks

This integration enriches visibility into user activities recorded by NGFW, enables further correlation with data from Azure workloads and other feeds, and improves monitoring capability with Workbooks inside Azure Sentinel.

A description of the workflow between the components involved in this POC is depicted in this diagram:

Demo

Source Code

fp-bd-ngfw-aws-azure

Caveats

These implementation instructions are tested with the following product versions

  • Forcepoint NGFW 6.5.2

  • Forcepoint NGFW Security Management Center (SMC) 6.6.0

The following activities are out of the scope of this document and therefore left to the system administrator, as part of ordinary maintenance procedures to be put in place within the existing infrastructure:

  • Configuration of appropriate hygiene procedures to handle logs produced during any step of the solution workflow

  • monitoring of the scripts, services and applications involved in the solution

Implementation

The solution described in this chapter requires the following files available at this link:

https://github.com/Forcepoint/fp-bd-ngfw-aws-azure/releases/tag/v1.2

  • fp-ngfw-exporter-cloud-v1.tar.gz

  • The archive Source Code.tar.gz/.zip contains all files necessary to setup and run the SMC2CLOUD service which automatically queries, processes and uploads logs to Azure. We suggest deploying this service on an Ubuntu 18.04 machine with at least 1 GB RAM, 1 vCPU and 250 MB of free storage for the integration, the instructions provided in this document are based on this operating system and the following packages

  • Python3.x

    The software packages and related dependencies are automatically installed by the install.sh script provided inside the Source Code.tar.gz/.zip file, which will execute the following commands as part of the deployment script:

    python3 get-pip.py

    python3 -m pip install –user virtualenv

    python3 -m venv venv

    source venv/bin/activate

    python3 -m pip install -r requirements.txt

    mkdir /opt/ngfw_2_cloud

    cp -r ./* /opt/ngfw_2_cloud

    cp /opt/ngfw_2_cloud/SMC2CLOUD.service /lib/systemd/system/SMC2CLOUD.service

    systemctl daemon-reload

    systemctl enable SMC2CLOUD

    systemctl start SMC2CLOUD

Step 1 – Set up Azure Sentinel integration

  1. Sign into Azure portal

  2. Click on All services, select Azure Sentinel click on it

  3. Click on Add

  4. Click on Create a new workspace

  5. Give a name to this workspace, select the subscription type, the resource group (if none exists create a new one) and select the location where this workspace will be hosted. Wait a minute or so for the validation and deployment from Azure to complete.

  6. Select your new workspace and click Add Azure Sentinel, your new workspace will then be created and be added to Sentinel

  7. In the side menu select Data Connectors

  8. Search for Common Event Format, select it and then click Open connector page

  9. Copy the command listed at chapter 1.2 and keep it in a safe location: this will be required during the installation wizard of our integration package. The ‘python’ in this command needs to be replaced by ‘python3’

Step 2 – Configure SMC to allow connections from API clients

We need to enable API access in order to export logs from the Security Management Center. The instructions to Enable SMC API can be found in the official documentation at this link:

https://www.websense.com/content/support/library/ngfw/v66/rfrnce/ngfw_660_rg_smc-api_b_en-us.pdf

Step 3 – Creating custom log filters from SMC

Since logs ingestion into Azure Sentinel is charged based on the number of log events, it is important to control what logs are forwarded from the NGFW into Azure.

This integration package enables the filtering of logs based on customizable queries. queries can be built using the SMC UI and then exported in a format that can be passed directly to the SMC2CLOUD service: by doing so, users will be able to find in Azure Sentinel the same logs they would see applying the filters in the SMC interface.

  1. Open the SMC log view

  2. Find the filter side bar and create a new filter, validate it returns what is required by clicking Apply

  3. If you have two entries in the filter view after creating your filter, select both, right click them and select ‘Combine Filters’

  4. After you combine the filters you will have one entry titled Combined <x> where x is some numerical value that increments after each combined filter

  5. Now we need to export our filter in a format that can be used by our integration tool. Right click on the combined filter and select Show Expression Translation

  6. A dialog will pop up with a textual representation of the filters we just created

  7. Copy this line of text exactly as it is in the dialog box and store it in a safe location: this will be required during the installation steps of the SMC2CLOUD service.

Example of common log queries

  • All events matching a severity of Critical, High or Low

    (true && default_false($AlertSeverity IN union(union(8, 9, 10), union(5, 6, 7), union(2, 3, 4))))

  • All events matching a specific rule tag (the number in red being the rule tag)

    (true && default_false((($RuleId & 0x1fffff) | (($RuleId & 0x7ffffffe00000000) >> 12)) == 2097162))

  • All events with an action matching “Terminate” or “Block”

    (true && default_false($Action IN union(9, 13)))

  • Any System Alert events

    (true && defined($Alert))

  • All Anomalies with severity Critical or High

    ((true && defined($AnomalySituation)) && default_false($AlertSeverity IN union(union(8, 9, 10), union(5, 6, 7))))

Adding extra filters

During the configuration step the install wizard will ask for a default filter, since at least one filter is needed in order to match NGFW logs that will be forwarded to Azure. User can also add extra filters so that the filtering process can be performed in a modular way, and filters can be selectively removed at a later stage without editing the syntax of the default filter.

  1. Choose ‘y’ and you will be presented with this screen

  2. When you choose to add a filter, paste the filter syntax in the terminal

  3. Once you have hit enter the configuration process will continue

Removing extra filters

During the configuration step you will be asked if you want to add extra filters. In this case, choose y also if you want to remove existing filters

  1. Select option 2 to remove a filter

  2. Enter the number of the filter you want to remove

  3. The filter at the selected will be deleted and the configuration process will continue

Step 4 – Configuration and installation of the SMC2CLOUD service

  1. cd to the directory containing fp-bd-ngfw-aws-azure-1.x.tar.gz

  2. Decompress the above file with the command tar -xvzf fp-bd-ngfw-aws-azure-1.x.tar.gz

  3. There will be a new folder created with the name fp-bd-ngfw-aws-azure-1.x . cd to fp-bd-ngfw-aws-azure-1.x

  4. Make install.sh executable with the command chmod u+x install.sh

  5. Run sudo ./install.sh

  6. Fill in the requested details during the configuration step

  7. Wait for the installation to complete

  8. Run sudo systemctl status SMC2CLOUD.service to verify the service has been created and is running properly

Appendix A – Configuration parameters

The following table provides a description of the parameters in the cfg.json file that are populated by the installer script upon it first execution:

Parameter Description Required
host-ip IP address of the machine hosting SMC YES
host-port Port opened on the SMC for the API client YES
client-api-key API key from obtained from NGFW for API client connection YES
fetch-size Number of records to retrieve from the SMC logs YES
run-interval How often the systemd service will run, fallback is every 900 seconds (15 mins)

NO/

FALLBACK

default-filter Default log filter exported from the SMC YES
extra-filters-enabled True/False, dependent on customer config YES
extra-filters Array of additional filters added to the default filter NO
azure-integration True/False depending on customer integrations YES
azure-agent-script Command provided by Azure to install log agent YES

Appendix B – Create a Workbook into Azure Sentinel

Workbooks combine text, Analytics queries, Azure Metrics and parameters into rich interactive reports.

  1. Login to Azure Sentinel portal

  2. Select Workbooks from the left-hand menu, under Threat management section. This launches a workbook gallery

  3. Click on Add workbook, this will open a new workbook

  4. Click on Edit, this will make workbook sections editable

  5. Click Add query, this will launch Log Analytics workspace Logs Query

  6. Insert the following query

    CommonSecurityLog |summarize Count= count() by Activity | render barchart

    The above groups NGFW logs by Activity type and provides an output similar to this

  7. Click Done Editing

  8. Move to the next section of the workbook and click Edit

  9. Add the following query to display a Bar Chart which provide a visual overview of the number of logs sent from NGFW into Azure Sentinel grouped by Severity

    CommonSecurityLog | summarize Count= count() by LogSeverity | render barchart

  10. Click Done Editing. The result displayed will be similar to this

    Another query to display NGFW logs grouping by Source IP address is

    CommonSecurityLog

    _ summarize Count= count() by SourceIP_
    _ render barchart_

  11. Once finished editing queries click Done Editing on the top left corner and on the save icon to save the workbook

    Multiple queries can be used to populate a workbook with tables and chart, enabling powerful visualization of events and security related activities obtained from Forcepoint NGFW.

Troubleshooting

Follow these steps to identify issues impacting the normal operation of the integration described in this document.

Validate the prerequisites

Make sure the prerequisites described in the Summary chapter are all satisfied:

  • Check the versions of Forcepoint NGFW and SMC in use are listed as compatible:

    Forcepoint NGFW 6.5.2
    
    Forcepoint NGFW Security Management Center (SMC) 6.6.0
    
  • Verify the integration component correctly operates on a clean Ubuntu 18.04 machine with at least 1 GB RAM, 1vCPU and 250 MB of free storage for the integration

  • Step 1 – Set up Azure Sentinel integration

    The Data Connector command mentioned in step 9 of the first step needs to be modified by the user: python needs to be replaced by python3 as in th example below:

    sudo wget https://raw.githubusercontent.com/Azure/Azure-Sentinel/master/DataConnectors/CEF/cef_installer.py&&sudo python3 cef_installer.py1ooooo11122222nbbbbbb203jddded99993cccccccccc2222222222222211111111111444444445555388==
    
  • User must be root to run the installer.sh

  • Check the user can download the files necessary to install SMC2cloud service: execute the following command

    wget –content-disposition https://frcpnt.com/ngfw-sentinel-latest

Check network connectivity

Make sure firewalls or other security appliances are not impacting the network connectivity necessary for the operation of all components involved into this integration:

  • Check the host machine has network connectivity to NGFW-SMC: execute the following command

    ping -c 5 <smc-ip-here>

    and check that the ping is successful

  • Check the host machine also has network connectivity to azure: execute the following command

    ping -c 5 <azure-ip-here>

    and check the ping result is successful

Check dependencies are installed

Make sure the software dependencies needed by the components involved into this integration are installed:

  • Check the python versions installed on the host Ubuntu machine with the following commands:

      python --version
    
      python3 --version
    

    and check the result has both python 2.x and python 3 versions on the host Ubuntu machine

  • Check SMC2CLOUD.service is installed: execute the following command on the Ubuntu machine

    systemctl status SMC2CLOUD.service
    

    and check the result is similar to below:

  • Check omsagent service is installed: execute the following command on the Ubuntu machine (user can use tab to autofill the full name for omsgent servcie)

      systemctl status <omsagent-here>
    

    and check the result is similar to below:

  • If omsagent service is not running (or has loaded status): execute the following command:

      journalctl -r
    

    to see where the install is failing. If you see any error messages with “Connection Refused” or “dpkg”, that could have something to do with the software updates on the Ubuntu machine. Restart the host machine and see if you see any software upgrade request. If you do, please install all the updates.

    Once the problem is identified and rectified, it will be necessary to stop and delete the SMC2CLOUD.service with the following commands:

      systemctl stop SMC2CLOUD.service
      systemctl disable SMC2CLOUD.service
      sudo rm /etc/systemd/system/ SMC2CLOUD.service
      sudo rm /lib/systemd/system/omsagent
    

    and check that the service is stopped with the command:

      systemctl status SMC2CLOUD.service
    
  • The user can also make changes to the cfg.json file in the fp-ngfw folder if the input for any of the configuration parameters is wrong and then restart the service with the below command:

      systemctl restart SMC2CLOUD.service
    
  • Check status of the SMC2CLOUD service with the below command:

      systemctl status SMC2CLOUD.service
    

    If the above service is running, you should start seeing logs in Azure Sentinel in 10-20 minutes.