falcon-integration-gateway

AWS Security Hub Manual Deployment Guide

This guide will walk you through the steps to manually deploy the Falcon Integration Gateway on an AWS EC2 instance as a Python application.

Prerequisites

Deployment Steps

1. Create an Instance Profile

This will be used to grant the EC2 instance access to the Security Hub and EC2 API’s.

:exclamation: If you already have an instance profile that you would like to use, just ensure the role has the appropriate permissions and skip to step 2.

1.1 Create a policy

  1. Navigate to the IAM Policies page
  2. Click the Create policy button
  3. Select the JSON tab

  4. Paste the following policy into the editor:

     {
     "Version": "2012-10-17",
     "Statement": [
         {
             "Effect": "Allow",
             "Action": [
                 "ec2:DescribeInstances",
                 "ec2:DescribeRegions",
                 "securityhub:GetFindings"
             ],
             "Resource": "*"
         },
         {
             "Effect": "Allow",
             "Action": "securityhub:BatchImportFindings",
             "Resource": "arn:aws:securityhub:*:*:product/crowdstrike/crowdstrike-falcon"
         }
     ]
 }
  5. Click the Next button
  6. Give it a name (e.g. FIG-SecurityHub-Access-Policy) and click the Create policy button

1.2 Create a role

  1. Navigate to the IAM Roles page
  2. Click the Create role button
  3. Select AWS service as the trusted entity
  4. Select EC2 as the service/use-case that will use this role
  5. Click the Next button
  6. Search for the policy you created in the previous step (e.g. FIG-SecurityHub-Access-Policy) and select it
  7. Click the Next button
  8. Give it a name (e.g. FIG-SecurityHub-Access-Role) and click the Create role button

2. Create an EC2 Instance (Linux)

This step is completely up to you. You can use the AWS console, CLI, or any other method you prefer to create an EC2 instance. Just make sure you select the instance profile you created in the previous step and that you have access to the instance via SSH.

For the purposes of this guide, we will be using the latest Amazon Linux 2023 AMI.

If you have an existing instance that you would like to use, just ensure the instance has instance profile you created in the previous step and skip to step 3.

2.1 Create an EC2 instance

  1. Navigate to the EC2 Instances page
  2. Click the Launch Instance button
    1. Fill out the instance details as you see fit
    2. Under Advanced details
      1. Select the instance profile you created in the previous step
  3. Click the Launch instance button

3. Install the FIG

Connect to your EC2 instance via SSH and follow the steps below to install the FIG.

3.1 Ensure the following packages are installed

sudo dnf install python3 python3-pip python3-devel git

Use the package manager for your distro to ensure these packages are installed.

3.1 Install the FIG

  1. Clone the repository

     git clone https://github.com/CrowdStrike/falcon-integration-gateway.git

  2. Change to the FIG directory

     cd falcon-integration-gateway

  3. Install the python dependencies.

     pip install -r requirements.txt

3.2 Configure the FIG

There are two different ways that you can configure the FIG to use the AWS backend. You can either use the config/config.ini file or you can use environment variables.

Refer to the configuration options available to the application and backend.

3.2.1 Configure the FIG using the config/config.ini file

[!NOTE] Instance existence confirmation can be disabled using the confirm_instance config.ini in the [aws] section or by setting the AWS_CONFIRM_INSTANCE environment variable. This option is available for scenarios where the account that is running the service application does not have access to the AWS account where the instance with the detection resides.

  1. Modify the config/config.ini file and set the following minimum values:

     [main]
 backends = AWS

 [events]
 severity_threshold = 3

 [falcon]
 cloud_region = <Falcon Cloud Region>
 client_id = <Falcon Client ID>
 client_secret = <Falcon Client Secret>
 application_id = <EXAMPLE-SECHUB-APPID>

 [aws]
 region = <AWS Region>
3.2.2 Configure the FIG using environment variables

  1. Set the following minimum environment variables:

     export FIG_BACKENDS=AWS
 export EVENTS_SEVERITY_THRESHOLD=3
 export FALCON_CLOUD_REGION=<Falcon Cloud Region>
 export FALCON_CLIENT_ID=<Falcon Client ID>
 export FALCON_CLIENT_SECRET=<Falcon Client Secret>
 export FALCON_APPLICATION_ID=<EXAMPLE-SECHUB-APPID>
 export AWS_REGION=<AWS Region>

3.3 Run the FIG

  1. Run the application

     python3 -m fig

  2. Verify output

     2023-10-18 16:45:43 fig MainThread INFO     Starting Falcon Integration Gateway 3.2.1
 2023-10-18 16:45:43 fig MainThread INFO     AWS Backend is enabled.
 2023-10-18 16:45:43 fig MainThread INFO     Enabled backends will only process events with types: {'DetectionSummaryEvent'}
 2023-10-18 16:45:44 fig cs_stream  INFO     Opening Streaming Connection
 2023-10-18 16:45:44 fig cs_stream  INFO     Established Streaming Connection: 200 OK
 ...
 ...

4. Verify in Security Hub

As events are processed by the FIG, they will be sent to Security Hub. You can verify this by following the steps below.

  1. Navigate to the Security Hub page
  2. Click the Findings tab
  3. Add a filter for Product name and enter CrowdStrike Falcon

Troubleshooting

To get additional logging verbosity, you can set the logging level to DEBUG by modifying either the config.ini or setting an environment variable.

Modify the config.ini:

[logging]
level = DEBUG

Alternatively, set the environment variable:

export LOG_LEVEL=DEBUG
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