You can monitor the security of your Python apps running in Docker, Kubernetes, Amazon ECS, and AWS Fargate.

In general, setting up Application Security Management (ASM) involves:

1. Identifying services that are vulnerable or are under attack, which would most benefit from ASM. Find them on the Security tab of your Service Catalog.
2. Updating to the latest Datadog library (the most recent APM tracing library).
3. Enabling the library to collect the application security data from the services and send it to Datadog.
4. Triggering security signals in your application and seeing how Datadog displays the resulting information.

Prerequisites

• The Datadog Agent is installed and configured for your application’s operating system or container, cloud, or virtual environment.
• Datadog APM is configured for your application or service, and traces are being received by Datadog.
• If your service is running with an Agent with Remote Configuration enabled and a tracing library version that supports it, you can block attackers from the Datadog UI without additional configuration of the Agent or tracing libraries.

Enabling threat detection

Get started

1. Update your Datadog Python library package to at least version 1.2.2 (at least version 1.5.0 for Software Composition Analysis detection features). Run the following:

   pip install --upgrade ddtrace
   

   To check that your service’s language and framework versions are supported for ASM capabilities, see Compatibility.

2. Enable ASM when starting the Python application.

   DD_APPSEC_ENABLED=true ddtrace-run python app.py
   

   You can also use one of the following methods, depending on where your application runs:

   Update your configuration container for APM by adding the following argument in your docker run command:

   docker run [...] -e DD_APPSEC_ENABLED=true [...]
   

   Add the following environment variable value to your container Dockerfile:

   ENV DD_APPSEC_ENABLED=true
   

   Update your configuration YAML file container for APM and add the DD_APPSEC_ENABLED environment variable:

   spec:
     template:
       spec:
         containers:
           - name: <CONTAINER_NAME>
             image: <CONTAINER_IMAGE>/<TAG>
             env:
               - name: DD_APPSEC_ENABLED
                 value: "true"
   

   Update your ECS task definition JSON file by adding the following in the environment section:

   "environment": [
     ...,
     {
       "name": "DD_APPSEC_ENABLED",
       "value": "true"
     }
   ]
   

   Initialize ASM in your code or set the DD_APPSEC_ENABLED environment variable to true in your service invocation:

   DD_APPSEC_ENABLED=true ddtrace-run python app.py
   

   After this configuration is complete, the library collects security data from your application and sends it to the Agent, which sends it to Datadog, where out-of-the-box detection rules flag attacker techniques and potential misconfigurations so you can take steps to remediate.

3. To see Application Security Management threat detection in action, send known attack patterns to your application. For example, trigger the Security Scanner Detected rule by running a file that contains the following curl script:

   for ((i=1;i<=250;i++)); 
   do
   # Target existing service’s routes
   curl https://your-application-url/existing-route -A dd-test-scanner-log;
   # Target non existing service’s routes
   curl https://your-application-url/non-existing-route -A dd-test-scanner-log;
   done

   Note: The dd-test-scanner-log value is supported in the most recent releases.

   A few minutes after you enable your application and exercise it, threat information appears in the Application Signals Explorer and vulnerability information appears in the Vulnerability Explorer.

Further Reading

Additional helpful documentation, links, and articles:

Adding user information to tracesDOCUMENTATION Python Datadog library source codeGITHUB OOTB Application Security Management RulesDOCUMENTATION Troubleshooting Application Security ManagementDOCUMENTATION