GKE currently exposes Kubernetes UI publicly and by default is only protected by basic auth.
Is there a better method for securing access to the UI? It appears to me this should be accessed behind a secure VPN to prevent various types of attacks. If someone could access the Kubernetes UI, they could cause a lot of damage to the cluster.
GKE currently exposes Kubernetes UI publicly and by default is only protected by basic auth.
The UI is running as a Pod in the Kubernetes cluster with a service attached so that it is accessible from inside of the cluster. If you want to access it remotely, you can use the service proxy running in the apiserver, which means that you would authenticate with the apiserver to access the UI.
The apiserver accepts three forms of client authentication: basic auth, bearer token, and client certificate. The basic auth password should have high entropy, and is only transmitted over SSL. It is provided to make access via a browser simpler since OAuth integration does not yet exist (although you should only pass your credentials over the SSL connection if you have verified the server certificate in your web browser so that your credentials aren't stolen by a man in the middle attack).
Is there a better method for securing access to the UI?
There isn't a way to tell GKE to disable the service proxy in the master, but if an attacker had credentials, then they could access your cluster using the API and do as much harm as if they could get to the UI. So I'm not sure why you are particularly concerned with securing the UI via the service proxy vs. securing the apiserver's API endpoint.
It appears to me this should be accessed behind a secure VPN to prevent various types of attacks.
Which types of attacks are you concerned about specifically?
Related
Prerequisites
I have two Cloud Run services a frontend and a backend. The frontend is written in Vue.js/Nuxt.js and is using a Node backend therefore. The backend is written in Kotlin with Spring Boot.
Problem
To have an authenticated internal communication between the frontend and the backend I need to use a token thttps://cloud.google.com/run/docs/authenticating/service-to-service#javahat is fetched from the google metaserver. This is documented here: https://cloud.google.com/run/docs/authenticating/service-to-service#java
I did set it all up and it works.
For my second layer of security I integrated the Auth0 authentication provider both in my frontend and my backend. In my frontend a user can log in. The frontend is calling the backend API. Since only authorized users should be able to call the backend I integrated Spring Security to secure the backend API endpoints.
Now the backend verifies if the token of the caller's request are valid before allowing it to pass on to the API logic.
However this theory does not work. And that simply is because I delegate the API calls through the Node backend proxy. The proxy logic however is already applying a token to the request to the backend; it is the google metaserver token. So let me illustrate that:
Client (Browser) -> API Request with Auth0 Token -> Frontend Backend Proxy -> Overriding Auth0 Token with Google Metaserver Token -> Calling Backend API
Since the backend is receiving the metaserver token instead of the Auth0 Token it can never successfully authorize the API call.
Question
Due the fact that I was not able to find any articles about this problem I wonder if it's simply because I am doing it basically wrong.
What do I need to do to have a valid Cloud Run Service to Service communication (guaranteed by the metaserver token) but at the same time have a secured backend API with Auth0 authorization?
I see two workarounds to make this happen:
Authorize the API call in the Node backend proxy logic
Make the backend service public available thus the metaserver token is unnecessary
I don't like any of the above - especially the latter one. I would really like to have it working with my current setup but I have no idea how. There is no such thing like multiple authorization token, right?
Ok I figured out a third way to have a de-facto internal service to service communication.
To omit the meta-server token authentication but still restrict access from the internet I did the following for my backend cloud run service:
This makes the service available from the internet however the ingress is preventing any outsider from accessing the service. The service is available without IAM but only for internal traffic.
So my frontend is calling the backend API now via the Node backend proxy. Even though the frontend node-backend and the backend service are both somewhat "in the cloud" they do not share the same "internal network". In fact the frontend node-backend requests would be redirected via egress to the internet and call the backend service just like any other internet-user would do.
To make it work "like it is coming from internal" you have to do something similar like VPN but it's called VPC (Virtual Private Cloud). And luckily that is very simple. Just create a VPC Connector in GCP.
BUT be aware to create a so called Serverless VPC Access (Connector). Explained here: https://cloud.google.com/vpc/docs/serverless-vpc-access
After the Serverless VPC Access has been created you can select it in your Cloud Run Service "Connection" settings. For the backend service it can be simply selected. For the frontend service however it is important to select the second option:
At least that is important in my case since I am calling the backend service by it's assigned service URL instead of a private IP.
After all that is done my JWT token from the frontend is successfully delivered to the backend API without being overwritten by a MetaServer token.
I'm reading through https://kubernetes.io/docs/reference/access-authn-authz/authentication/, but it is not giving any concrete commands and it is mostly focusing when we want to create everything from scratch. It's also explaining auth for engineers using Kubernetes.
I have an existing deployment and service (with exposed external IP) and would like to create the simplest possible authentication (preferably token based) for an external user accessing the exposed IP. I can't add authentication to the services since I don't have access to their code. If somebody could help me with some commands I would be grateful.
The documentation which referred is for authentication with k8s (for api accesses). This is not for application layer authentication.
However I can suggest one way to implement application layer authentication without changing the service at all. You can redirect the traffic to nginx (or any other reverse proxy) which can perform the authentication and redirect the authenticated user to service directly. It can also perform some kind of authorization too.
There are various resources available which can help you choose various authentication mechanism available in nginx such as password file based mechanism (link) or JWT based authentication (link)
I'm building a microservice based REST API and a native SPA Web Frontend for an application.
The API should be protected using OAuth2.0 to allow for other clients in the future. It should use the Authorization Code Flow ideally with Proof Key for Code Exchange (PKCE)
As I understand it I need to run my own OAuth Auth Server that's managing the API Clients and generating access tokens, etc.
Also I need my own Authentication/IAM service with it's own fronted for user login and client authorization granting. This service is the place the users login credentials are ultimately checked against a backend. That last part should be flexible and the backend might be an LDAP server in some private cloud deployment.
These components (Auth Server and IAM servicve) are outside of the OAuth scope but appear, correct me if I'm wrong, to be required if I'm running my own API for my own users.
However creating these services myself appears to be more work than I appreciate besides the obvious security risks involved.
I read about auth0 and okta but I'm not sure if they are suited for my use case with the application potentially deployed in private cloud.
I also thought about running Hydra (OAuth Server) and Kratos (IAM) by ory but I'm not sure if this is adding too many dependencys to my project.
Isn't there an easy way to secure an API with OAuth that deals with the Auth Server and the IAM that's good for small projects?!
Initial disclosure:
I’m new to nginx and reverse proxy configuration in general.
Background
I have a Swagger-derived, FOSS, https-accessible REST API [written by another party] running on a certain port of an EC2 CentOS 7 instance behind an nginx 1.16.1 reverse proxy (to path https://foo_domain/bar_api/); for my purposes, this API needs to be reachable from a broad variety of services not all of which publish their IP ranges, i.e., the API must be exposed to traffic from any IP.
Access to the API’s data endpoints (e.g., https://foo_domain/bar_api/resource_id) is controlled by a login function located at
https://foo_domain/bar_api/foobar/login
supported by token auth, which is working fine.
Problem
However, the problem is that an anonymous user is able to GET
https://foo_domain/bar_api
without logging in, which results in potentially sensitive data about the API server configuration being returned, such as the API’s true port, server version, some of the available endpoints and parameters, etc. This is not acceptable for the purpose, from a security standpoint.
Question
How do I prevent anonymous GET requests to the /bar_api/ endpoint, while allowing login and authenticated data requests to endpoints beyond /bar_api/ to proceed unhindered? Or, otherwise, how do I prevent any data from being returned upon such requests?
I'm a bit disturbed on how to secure the kubernetes API for call and access, also Kube-ui is available to everybody.
How can I set credential to secure all the services ?
Thank you
The Kubernetes API supports multiple forms of authentication: http basic auth, bearer token, client certificates. When launching the apiserver, you can enable / disable each of these authentication methods with command line flags.
You should also be running the apiserver where the insecure port is only accessible to localhost, so that all connections coming across the network use https. By having your api clients verify the TLS certificate presented by the apiserver, they can verify that the connection is both encrypted and not susceptible to man-in-the-middle attacks.
By default, anyone who has access credentials to the apiserver has full access to the cluster. You can also configure more fine grained authorization policies which will become more flexible and configurable in future Kubernetes releases.