This module simplifies the deployment of Zeek so GCP customers can feed raw packets from VPC Packet Mirroring and produce rich security telemetry for threat detection and investigation in our Chronicle Security Platform.

This module is meant for use with Terraform v0.13.5 or above.

Examples of how to use these modules can be found in the examples folder.

• Basic Configurations: Demonstrates how to use google zeek automation module with basic configurations.
• Mirror Resource Filtering: Demonstrates how to specify mirror vpc network sources, for packet mirroring policy.
• Packet Mirroring Traffic Filtering: Demonstrates how to use traffic filtering parameters for packet-mirroring policy.

• Creates regional managed instance groups using same network peering between mirror-collector vpc for collecting logs from mirror vpc sources.

• Enables regional packet mirroring policies for mirroring mirror vpc sources like:

  • mirror-vpc subnets
  • mirror-vpc tags
  • mirror-vpc instances

  with optional parametes like: ip_protocols, direction, & cidr_ranges.

• Enables packaging of logs in order to send it to Chronicle Platform.

1. Packer Image should exist before running terraform script.
2. Terraform is installed on the machine where Terraform is executed.
3. The Service Account you execute the module with has the right permissions.
4. The Compute Engine APIs are active on the project you will launch the infrastructure on.
5. User must create a GCS Bucket.
6. If Mirror VPC is in a different project, then the user will have to do the manual network peering from Mirror VPC to Collector VPC, if they want to mirror traffic from that project VPC.
7. If Mirror VPC is in a different project, then the user will have to add an egress firewall rule in the Mirror VPC for redirecting incoming traffic to Collector VPC.

There are two ways for using packer image:

• Use pre-configured image
• Create your own custom image

• One can use our pre-configured packer image which is published on GCP and publicly available to all.
• We have already configured our packer image with terraform script by configuring variable golden_image. (i.e. projects/zeekautomation/global/images/zeek-fluentd-golden-image-v1)

• One can make their own custom image by following this documentation.
• Once the custom image is created, change the golden_image variable value with your custom image name to use it in terraform script.

Service account or user credentials with the following roles must be used to provision the resources of this module:

• Service Account User - roles/iam.serviceAccountUser
• Service Account Token Creator - roles/iam.serviceAccountTokenCreator
• Compute Admin - roles/compute.admin
• Compute Network Admin - roles/compute.networkAdmin
• Compute Packet Mirroring User - roles/compute.packetMirroringUser
• Compute Packet Mirroring Admin - roles/compute.packetMirroringAdmin
• Logs Writer - roles/logging.logWriter
• Monitoring Metric Writer - roles/monitoring.metricWriter
• Storage Admin - roles/storage.admin

In addition to above roles, for Mirror VPCs residing in different projects than Collector VPC, the Service account email used for provisioning Collector VPC resources must be added as IAM Member to respective Mirror VPC project with the following role:

• Compute Packet Mirroring Admin - roles/compute.packetMirroringAdmin

In order to operate with the Service Account you must activate the following APIs on the project where the Service Account was created:

• Compute Engine API - compute.googleapis.com
• Service Usage API - serviceusage.googleapis.com
• Identity and Access Management (IAM) API - iam.googleapis.com
• Cloud Resource Manager API - cloudresourcemanager.googleapis.com
• Cloud Logging API - logging.googleapis.com
• Cloud Monitoring API - monitoring.googleapis.com
• Cloud Storage API - storage.googleapis.com

module "google_zeek_automation" {
  source                = "<link>/google_zeek_automation"
  gcp_project           = "collector_project-123"
  service_account_email = "service-account@collector-project-123.iam.gserviceaccount.com"

  collector_vpc_name    = "collector-vpc"
  subnets = [
    {
      mirror_vpc_network          = "projects/mirror-project-123/global/networks/test-mirror"
      collector_vpc_subnet_cidr   = "10.11.0.0/24"
      collector_vpc_subnet_region = "us-west1"
    },
  ]

  mirror_vpc_subnets = {
    "mirror-project-123--mirror_vpc_name--us-west1" = ["projects/mirror-project-123/regions/us-west1/subnetworks/subnet-01"]
  }

}

Note: For packet mirroring policy, it requires a mirror source to be specified before running the script. So, out of 3 variables: mirror_vpc_instances | mirror_vpc_tags| mirror_vpc_subnets, at least one of them should be specified while running the terraform script.

Then perform the following commands on the root folder:

• terraform init to get the plugins
• terraform plan to see the infrastructure plan
• terraform apply to apply the infrastructure build
• terraform destroy to destroy the built infrastructure

• Terraform v0.13.5
• Terraform Provider for GCP v3.55

list(object({
    mirror_vpc_network      = string
    collector_vpc_subnet_cidr   = string
    collector_vpc_subnet_region = string
  }))

The Google Zeek Automation uses external scripts to perform a few tasks that are not implemented by Terraform providers. Because of this the Google Zeek Automation needs a copy of service account credentials to pass to these scripts. Credentials can be provided via two mechanisms:

1. Explicitly passed to the Google Zeek Automation with the credentials variable. This approach typically uses the same credentials for the google provider and the Google Zeek Automation:

   provider "google" {
     credentials = "${file(var.credentials)}"
   }
   
   module "google_zeek_automation" {
     source = "<link>/google_zeek_automation"
   
     # other variables follow ...
   }

2. Implicitly provided by the Application Default Credentials flow, which typically uses the GOOGLE_APPLICATION_CREDENTIALS environment variable:

   # `GOOGLE_APPLICATION_CREDENTIALS` must be set in the environment before Terraform is run.
   provider "google" {
     # Terraform will check the `GOOGLE_APPLICATION_CREDENTIALS` variable, so no `credentials`
     # value is needed here.
   }
   
   module "google_zeek_automation" {
      source = "<link>/google_zeek_automation"
   
      # Google Zeek Automation will also check the `GOOGLE_APPLICATION_CREDENTIALS` environment variable.
      # other variables follow ...
   }

• VPC Network
• Network Subnets
• Network Firewall
• VPC Network Peering
• Instance Template
• Managed Instance Group
• Internal Load Balancer
• Packet Mirroring

This repo has the following folder structure:

• examples: This folder contains examples of how to use the module.

• files: This folder contains startup script file.

• packer: To generate your own packer image.

• test: Automated tests for the module.

Contributions to this repo are very welcome and appreciated! If you find a bug or want to add a new feature or even contribute an entirely new module, we are very happy to accept pull requests, provide feedback, and run your changes through our automated test suite.

Please see contributing guidelines for information on contributing to this module.

• If you get error: Error: Error waiting for Adding Network Peering: An IP range in the peer network (X.X.X.X/X) overlaps with an IP range in the local network (X.X.X.X/X) allocated by resource (projects/<project-id>/regions/<region>/subnetworks/<subnet-id>).

  Reason: A subnet CIDR range in one peered VPC network cannot overlap with a static route in another peered network. This rule covers both subnet routes and static routes.
  Refer: https://cloud.google.com/vpc/docs/vpc-peering#restrictions

  Solution: Users should establish a new configuration with mirror VPCs whose CIDR ranges clash with those of the present infrastructure. Following that, a new collector VPC will be launched, as well as a new set of mirror VPCs will be mirrored, which will resolve the overlapping CIDR problem.