AbnormalSecurity

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Attribute Value
Connector ID AbnormalSecurity
Publisher AbnormalSecurity
Used in Solutions AbnormalSecurity
Collection Method Azure Function
Connector Definition Files AbnormalSecurity_API_FunctionApp.json
Ingestion API HTTP Data Collector API — Azure Function code uses SharedKey/HTTP Data Collector API
Custom Log V1 Tables Yes 🔶 — ingests into tables with type-suffixed columns

The Abnormal Security data connector provides the capability to ingest threat and case logs into Microsoft Sentinel using the Abnormal Security Rest API.

Tables Ingested

This connector ingests data into the following tables:

Table Transformations Ingestion API Lake-Only
ABNORMAL_CASES_CL ? ✓ ?
ABNORMAL_THREAT_MESSAGES_CL 🔶 ? ✓ ?

💡 Tip: Tables with Ingestion API support allow data ingestion via the Azure Monitor Data Collector API, which also enables custom transformations during ingestion.

Permissions

Resource Provider Permissions: - Workspace (Workspace): read and write permissions on the workspace are required. - Keys (Workspace): read permissions to shared keys for the workspace are required. See the documentation to learn more about workspace keys.

Custom Permissions: - Microsoft.Web/sites permissions: Read and write permissions to Azure Functions to create a Function App is required. See the documentation to learn more about Azure Functions. - Abnormal Security API Token: An Abnormal Security API Token is required. See the documentation to learn more about Abnormal Security API. Note: An Abnormal Security account is required

Setup Instructions

⚠️ Note: These instructions were automatically generated from the connector's user interface definition file using AI and may not be fully accurate. Please verify all configuration steps in the Microsoft Sentinel portal.

NOTE: This connector uses Azure Functions to connect to Abnormal Security's REST API to pull logs into Microsoft Sentinel. This might result in additional data ingestion costs. Check the Azure Functions pricing page for details.

STEP 1 - Configuration steps for the Abnormal Security API

Follow these instructions provided by Abnormal Security to configure the REST API integration. Note: An Abnormal Security account is required

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

IMPORTANT: Before deploying the Abnormal Security data connector, have the Workspace ID and Workspace Primary Key (can be copied from the following), as well as the Abnormal Security API Authorization Token, readily available. - Workspace ID: WorkspaceId Note: The value above is dynamically provided when these instructions are presented within Microsoft Sentinel. - Primary Key: PrimaryKey Note: The value above is dynamically provided when these instructions are presented within Microsoft Sentinel.

3. Option 1 - Azure Resource Manager (ARM) Template

This method provides an automated deployment of the Abnormal Security 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 Microsoft Sentinel Workspace ID, Microsoft Sentinel Shared Key and Abnormal Security REST API Key. - The default Time Interval is set to pull the last five (5) minutes of data. If the time interval needs to be modified, it is recommended to change the Function App Timer Trigger accordingly (in the function.json file, post deployment) to prevent overlapping data ingestion. 4. Mark the checkbox labeled I agree to the terms and conditions stated above. 5. Click Purchase to deploy.

4. Option 2 - Manual Deployment of Azure Functions

Use the following step-by-step instructions to deploy the Abnormal Security 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. AbnormalSecurityXX).

    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): SENTINEL_WORKSPACE_ID SENTINEL_SHARED_KEY ABNORMAL_SECURITY_REST_API_TOKEN logAnalyticsUri (optional) (add any other settings required by the Function App) Set the uri value to: <add uri value>

    Note: If using Azure Key Vault secrets for any of the values above, use the@Microsoft.KeyVault(SecretUri={Security Identifier})schema in place of the string values. Refer to Azure Key Vault references documentation for further details. - 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://<CustomerId>.ods.opinsights.azure.us.

  4. Once all application settings have been entered, click Save.

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