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Cloudflare (Preview) (using Azure Functions) connector for Microsoft Sentinel

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The Cloudflare data connector provides the capability to ingest Cloudflare logs into Microsoft Sentinel using the Cloudflare Logpush and Azure Blob Storage. Refer to Cloudflare documentation for more information.

This is autogenerated content. For changes, contact the solution provider.

Connector attributes

Connector attribute Description
Azure function app code https://aka.ms/sentinel-CloudflareDataConnector-functionapp
Log Analytics table(s) Cloudflare_CL
Data collection rules support Not currently supported
Supported by Cloudflare

Query samples

All Cloudflare logs

Cloudflare_CL

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Prerequisites

To integrate with Cloudflare (Preview) (using Azure Functions) make sure you have:

Vendor installation instructions

Note

This connector uses Azure Functions to connect to the Azure Blob Storage API to pull logs into Microsoft Sentinel. This might result in additional costs for data ingestion and for storing data in Azure Blob Storage costs. Check the Azure Functions pricing page and Azure Blob Storage pricing page for details.

(Optional Step) Securely store workspace and API authorization key(s) or token(s) in Azure Key Vault. Azure Key Vault provides a secure mechanism to store and retrieve key values. Follow these instructions to use Azure Key Vault with an Azure Function App.

Note

This data connector depends on a parser based on a Kusto Function to work as expected Cloudflare which is deployed with the Microsoft Sentinel Solution.

STEP 1 - Configuration of the Cloudflare Logpush

See documentation to setup Cloudflare Logpush to Microsoft Azure

STEP 2 - Choose ONE from the following two deployment options to deploy the connector and the associated Azure Function

IMPORTANT: Before deploying the Cloudflare data connector, have the Workspace ID and Workspace Primary Key (can be copied from the following), as well as Azure Blob Storage connection string and container name, readily available.

Option 1 - Azure Resource Manager (ARM) Template

Use this method for automated deployment of the Cloudflare data connector using an ARM Template.

  1. Click the Deploy to Azure button below.

    Deploy To Azure

  2. Select the preferred Subscription, Resource Group and Location.

  3. Enter the Azure Blob Storage Container Name, Azure Blob Storage Connection String, Microsoft Sentinel Workspace Id, Microsoft Sentinel Shared Key

  4. Mark the checkbox labeled I agree to the terms and conditions stated above.

  5. Click Purchase to deploy.

Option 2 - Manual Deployment of Azure Functions

Use the following step-by-step instructions to deploy the Cloudflare data connector manually with Azure Functions (Deployment via Visual Studio Code).

1. Deploy a Function App

NOTE: You will need to prepare VS code for Azure function development.

  1. Download the Azure Function App file. Extract archive to your local development computer.

  2. Start VS Code. Choose File in the main menu and select Open Folder.

  3. Select the top level folder from extracted files.

  4. Choose the Azure icon in the Activity bar, then in the Azure: Functions area, choose the Deploy to function app button. If you aren't already signed in, choose the Azure icon in the Activity bar, then in the Azure: Functions area, choose Sign in to Azure If you're already signed in, go to the next step.

  5. Provide the following information at the prompts:

    a. Select folder: Choose a folder from your workspace or browse to one that contains your function app.

    b. Select Subscription: Choose the subscription to use.

    c. Select Create new Function App in Azure (Don't choose the Advanced option)

    d. Enter a globally unique name for the function app: Type a name that is valid in a URL path. The name you type is validated to make sure that it's unique in Azure Functions. (e.g. CloudflareXX).

    e. Select a runtime: Choose Python 3.11.

    f. Select a location for new resources. For better performance and lower costs choose the same region where Microsoft Sentinel is located.

  6. Deployment will begin. A notification is displayed after your function app is created and the deployment package is applied.

  7. Go to Azure Portal for the Function App configuration.

2. Configure the Function App

  1. In the Function App, select the Function App Name and select Configuration.
  2. In the Application settings tab, select + New application setting.
  3. Add each of the following application settings individually, with their respective string values (case-sensitive): CONTAINER_NAME AZURE_STORAGE_CONNECTION_STRING WORKSPACE_ID SHARED_KEY logAnalyticsUri (Optional)
  • Use logAnalyticsUri to override the log analytics API endpoint for dedicated cloud. For example, for public cloud, leave the value empty; for Azure GovUS cloud environment, specify the value in the following format: https://WORKSPACE_ID.ods.opinsights.azure.us.
  1. Once all application settings have been entered, click Save.

Next steps

For more information, go to the related solution in the Azure Marketplace.