Any publicly accessible AWS Lambda functions should be identified and their access policy should be updated in order to protect against unauthorized users that are sending requests to invoke these functions.
Replace <function-name> with the name of the identified Lambda Function and <subnet-ids> and <security-group-ids> with the IDs of the subnets and security groups that you want to associate with the Lambda Function.
Once the access control policy is updated, run the following command to verify that the Lambda Function is no longer publicly accessible:
This should return the access control policy of the Lambda Function. Verify that the policy restricts public access to the Lambda Function.
Repeat steps 4 and 5 for all the identified Lambda Functions that are publicly accessible.
By following the above steps, you can remediate the issue of Lambda Functions being publicly accessible in AWS.
Using Python
To remediate the issue of publicly accessible Lambda functions in AWS using Python, you can follow these steps:Step 1: Open the AWS Lambda function console.Step 2: Select the Lambda function that you want to remediate.Step 3: Scroll down to the “Configuration” section and click on the “Permissions” tab.Step 4: In the “Permissions” tab, you will see a section called “Resource-based policy”. Click on the “Edit” button next to it.Step 5: In the “Edit Resource-based policy” window, you will see the “Principal” section. This section specifies the AWS account or IAM user that is allowed to access the Lambda function.Step 6: To remediate the issue, you need to remove the “Principal” section or replace it with a specific AWS account or IAM user that is authorized to access the Lambda function.Step 7: You can use the following Python code to remove the “Principal” section from the Lambda function’s resource-based policy:
Copy
Ask AI
import boto3import json# Replace 'lambda_function_name' with your Lambda function namelambda_function_name = 'my_lambda_function'lambda_client = boto3.client('lambda')# Get the current resource-based policy of the Lambda functionresponse = lambda_client.get_policy(FunctionName=lambda_function_name)policy = json.loads(response['Policy'])# Remove the 'Principal' section from the resource-based policydel policy['Statement'][0]['Principal']# Update the resource-based policy of the Lambda functionlambda_client.add_permission( FunctionName=lambda_function_name, StatementId='1', Action='lambda:InvokeFunction', Principal='', SourceArn='', SourceAccount='', EventSourceToken='', Qualifier='', RevisionId='', Policy=json.dumps(policy))print('Resource-based policy updated successfully')
Note: Make sure that you have the necessary permissions to modify the Lambda function’s resource-based policy.