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AWS Lambda Authorizer JWT Token Python

If you have an API deployed on Amazon API Gateway, you probably want to make sure only the right people get access to your resources.

That’s where the AWS Lambda Authorizer with JWT authentication in Python comes into play.

Let’s break down this method step by step:

1. It begins with a client sending a request to our API endpoint on Amazon API Gateway.
2. Then, the client adds a JWT in the request headers. It is usually added in the Authorization header.
3. Once the request reaches the API Gateway, which is configured with a Lambda authorizer, it invokes the Lambda authorizer function.
4. The Lambda authorizer goes to work and extracts the JWT token from the request headers.
5. It then verifies the token’s authenticity and integrity. This includes checking the token’s signature against a known public key or secret key and ensuring that the token has not expired.
6. Based on its findings, the Lambda authorizer makes a decision.
7. If the token is valid and the user has permissions, the authorizer generates an IAM policy that allows access to the requested resource.
8. If the token is invalid, the authorizer generates a deny policy.
9. The Lambda authorizer delivers the generated IAM policy to the API Gateway.
10. After the API Gateway receives the IAM policy, API Gateway forwards the request to the backend resource, if the policy allows access.
11. If the policy denies access, API Gateway returns an HTTP 403 Forbidden response.
12. Hence, the client will receive the HTTP response from API Gateway.

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Conclusion

In brief, our Support Experts introduced us to AWS Lambda Authorizer with JWT authentication in Python.