I want to include the oauth2 authentication flow into my application, but also provide an internal database (regular register / login) as an authentication method.
I'm not that sure how to approach that behavior, as I would love to have one single state for the authentication. I've thought about exposing the authentication using the internal database as an OAuth2 application itself, therefor token management etc can be generalized.
This would be a basic example of my thought process:
To distinguish between the multiple OAuth providers, I'd have wrapped the actual token inside a JWT, which also contains the providers name (as well as have a spam protection in my backend, instead of spamming the actual provider).
I'm not sure if it's that good to store the actual user data in a database as well - But I'd need some kind of overview of registered users for the administrators to see - and maybe block or delete.
My questions in particular:
Should the OAuth token be wrapped in a JWT for identification of the provider?
Is it bad practice to store the user data in a database as well? (If not, how much data should be stored [username, ...] and when should the data be refreshed?)
Is there anything else I should keep in mind when doing the authentication flow as it is?
For most client applications and UI approaches JWTs seem to be a good way to carry tokens for an OAuth based approach. This allows decoupling of a User/Auth service and the services that are actually being accessed.
Given this architecture
My question is: in the case of public APIs (ie Github or Slack) where a bearer key is generated with specific roles. How is that key authorized in a microservice architecture? Do those types of keys just require that the Auth service gets queried with every request?
Could an API gateway mitigate this? I would like to understand if a solution exists where there is minimal communication between services. Thank you!
Normally, this is solved using scopes. The scopes are permissions given to a user to do certain operations,for example there will be a scope for read a repository, another for update it, another one for delete etc..
These scopes are tied to the token and normally are requested by the user himself or added automatically depending on the user type. And the same as the authentication process, they could be included in the token itself coded as a claim in a jwt or they could be requested or checked by calling an oauth server when one operation is requested.
The advantages of include them in jwt is that there is not need to call an external server every time an operation is requested so there is a lower latency and less bandwith is required, also you remove a point of failure. Obviously if this solution is used the token must be properly signed or even encrypted to avoid possible manipulations.
However it has also drawbacks, and the most dangerous one is that the token cannot be revoked because this information cannot be included in the token and the service that check if the token is valid only can access the data contained in the token itself. Because of this, this kind of tokens are normally issued with a little expiry time so in case of the token is stolen, the validity of it will be very limited
I'm extremely confused on how to use a centralized IDP with both authentication and authorization. The architecture for my project was to be a single web API and one React client. I wanted to keep things structured out into microservices just to try something more modern, but I'm having major issues with the centralized identity, as many others have.
My goal is fairly simple. User logs in, selects a tenant from a list of tenants that they have access to, and then they are redirected to the client with roles and a "tid" or tenant id claim which is just the GUID of the selected company.
The Microsoft prescribed way to add identity in my scenario is IdentityServer, so I started with that. Everything was smooth sailing until I discovered the inner workings of the tokens. While some others have issues adding permissions, the authorization logic in my application is very simple and roles would suffice. While I would initially be fine with roles refreshing naturally via expiration, they must immediately update whenever my users select a different tenant to "log in" to. However, the problem is that I cannot refresh these claims when the user changes tenants without logging out. Essentially, I tried mixing authorization with authentication and hit a wall.
It seems like I have two options:
Obtain the authorization information from a separate provider, or even an endpoint on the identity server itself, like /user-info but for authorization information. This ends up adding a huge overhead, but the actual boilerplate for the server and for the client is minimal. This is similar to how the OSS version of PolicyServer does it, although I do not know how their paid implementation is. My main problem here is that both the client and resource (API) will need this information. How could I avoid N requests per interaction (where N is the number of resources/clients)?
Implement some sort of custom state and keep a store of users who need their JWTs refreshed. Check these and return some custom response to the caller, which then uses custom js client code to refresh the token on this response. This is a huge theory and, even if it is plausible, still introduces state and kind of invalidates the point of JWTs while requiring a large amount of custom code.
So, I apologize for the long post but this is really irking me. I do not NEED to use IdentityServer or JWTs, but I would like to at least have a React front-end. What options do I have for up-to-date tenancy selection and roles? Right when I was willing to give in and implement an authorization endpoint that returns fresh data, I realized I'd be calling it both at the API and client every request. Even with cached data, that's a lot of overhead just in pure http calls. Is there some alternative solution that would work here? Could I honestly just use a cookie with authorization information that is secure and updated only when necessary?
It becomes confusing when you want to use IdentityServer as-is for user authorization. Keep concerns seperated.
As commented by Dominick Baier:
Yes – we recommend to use IdentityServer for end-user authentication,
federation and API access control.
PolicyServer is our recommendation for user authorization.
Option 1 seems the recommended option. So if you decide to go for option 1:
The OSS version of the PolicyServer will suffice for handling the requests. But instead of using a json config file:
// this sets up the PolicyServer client library and policy provider
// - configuration is loaded from appsettings.json
services.AddPolicyServerClient(Configuration.GetSection("Policy"))
.AddAuthorizationPermissionPolicies();
get the information from an endpoint. Add caching to improve performance.
In order to allow centralized access, you can either create a seperate policy server or extend IdentityServer with user authorization endpoints. Use extension grants to access the user authorization endpoints, because you may want to distinguish between client and api.
The json configuration is local. The new endpoint will need it's own data store where it can read the user claims. In order to allow centralized information, add information about where the permissions can be used. Personally I use the scope to model the permissions, because both client and api know the scope.
Final step is to add admin UI or endpoints to maintain the user authorization.
I ended up using remote gRPC calls for the authorization. You can see more at https://github.com/Perustaja/PermissionServerDemo
I don't like to accept my own answer here but I think my solution and thoughts on it in the repository will be good for anyone thinking about possible solutions to handing stale JWT authorization information.
I am trying to understand statelessness in restful APIs in the context of authentication. Here's the scenario:
The user logs in.
The server verifies the username and the password, and generates an opaque access token. It caches some information related to this token - for example, the expiration time, the userId, whether this token was explicitly invalidated before it expired, etc.
The token is sent to the client, and the client sends it with every future request.
List item
Fielding's dissertation defines statelessness as:
"...such that each request from client to server must contain all of the information necessary to understand the request, and cannot take advantage of any stored context on the server. Session state is therefore kept entirely on the client."
In my example, the client is sending the token with every request, so the first condition is satisfied. However, my server has a context associated with this session that is stored in the sessions cache.
Does this make my application stateful?
If yes, then is it that true statelessness be achieved only if we are using JWTs? I am pondering upon this as JWTs are quite new, so how were architects building truly stateless services before they were invented?
That's right. If you you maintaining the session you are keeping the state in server which makes the application hard to scale. True stateless applications can be scaled out and any server should be able to handle the request.
JWT is popular way to avoid sessions and everything is encapsulated inside the token for any server to auth/Authorize the request and help us achieve stateless application, they come with their own challenges however OpenID connect is the new way for Auth/Authorization.
Before jwt to make application stateless we used to keep session in DB (or Shared Cache) , and any server would like to check the session would have to contact DB.
Hope that Helps!
Briefly: No, such usage of token does not make your application stateful.
Detailed: When we talk about stateless/stateful, we consider usually only the data that affect business logic. Business logic does not usually depend on authentication data. For example, a user sends a request that contains all data needed to place some order. Normally creating an order does not depend on when this user has logged in, on his user ID, etc.
Overview
I'm looking to create a (REST) API for my application. The initial/primary purpose will be for consumption by mobile apps (iPhone, Android, Symbian, etc). I've been looking into different mechanisms for authentication and authorization for web-based APIs (by studying other implementations). I've got my head wrapped around most of the fundamental concepts but am still looking for guidance in a few areas. The last thing I want to do is reinvent the wheel, but I'm not finding any standard solutions that fits my criteria (however my criteria my be misguided so feel free to critique that as well). Additionally, I want the API to be the same for all platforms/applications consuming it.
oAuth
I'll go ahead and throw out my objection to oAuth since I know that will likely be the first solution offered. For mobile applications (or more specifically non-web applications), it just seems wrong to leave the application (to go to a web-browser) for the authentication. Additionally, there is no way (I am aware of) for the browser to return the callback to the application (especially cross-platform). I know a couple of apps that do that, but it just feels wrong and gives a break in the application UX.
Requirements
User enters username/password into application.
Every API call is identified by the calling application.
Overhead is kept to a minimum and the auth aspect is intuitive for developers.
The mechanism is secure for both the end user (their login credentials are not exposed) as well as the developer (their application credentials are not exposed).
If possible, not require https (by no means a hard requirement).
My Current Thoughts on Implementation
An external developer will request an API account. They will receive an apikey and apisecret. Every request will require at minimum three parameters.
apikey - given to developer at regisration
timestamp - doubles as a unique identifier for each message for a given apikey
hash - a hash of the timestamp + the apisecret
The apikey is required to identify the application issuing the request. The timestamp acts similarly to the oauth_nonce and avoids/mitigates replay attacks. The hash ensures that request was actually issued from the owner of the given apikey.
For authenticated requests (ones done on the behalf of a user), I'm still undecided between going with an access_token route or a username and password hash combo. Either way, at some point a username/password combo will be required. So when it does, a hash of several pieces of information (apikey, apisecret, timestamp) + the password would be used. I'd love feedback on this aspect. FYI, they would have to hash the password first, since I don't store the passwords in my system without hashing.
Conclusion
FYI, this isn't a request for how to build/structure the API in general only how to handle the authentication and authorization from solely within an application.
Random Thoughts/Bonus Questions
For APIs that only require an apikey as part of the request, how do you prevent someone other than the apikey owner from being able to see the apikey (since sent in the clear) and make excessive requests to push them over usage limits? Maybe I'm just over thinking this, but shouldn't there be something to authenticate that a request was verified to the apikey owner? In my case, that was the purpose of the apisecret, it is never shown/transmitted without being hashed.
Speaking of hashes, what about md5 vs hmac-sha1? Does it really matter when all of the values are hashed with with sufficiently long data (ie. apisecret)?
I had been previously considering adding a per user/row salt to my users password hash. If I were to do that, how could the application be able to create a matching hash without knowing the salt used?
The way I'm thinking about doing the login part of this in my projects is:
before login the user requests a login_token from the server. These are generated and stored on the server on request, and probably have a limited lifetime.
to login the application calculates the hash of the users password, then hashes the password with the login_token to get a value, they then return both the login_token and the combined hash.
The server checks the login_token is one that it has generated, removing it from its list of valid login_tokens. The server then combines its stored hash of the user's password with the login_token and ensures that it matches the submitted combined token. If it matches you have authenticated your user.
Advantages of this are that you never store the user's password on the server, the password is never passed in the clear, the password hash is only passed in the clear on account creation (though there may be ways around this), and it should be safe from replay attacks as the login_token is removed from the DB on use.
That's a whole lot of questions in one, I guess quite a few people didn't manage to read all the way to the end :)
My experience of web service authentication is that people usually overengineer it, and the problems are only the same as you would encounter on a web page. Possible very simple options would include https for the login step, return a token, require it to be included with future requests. You could also use http basic authentication, and just pass stuff in the header. For added security, rotate/expire the tokens frequently, check the requests are coming from the same IP block (this could get messy though as mobile users move between cells), combine with API key or similar. Alternatively, do the "request key" step of oauth (someone suggested this in a previous answer already and it's a good idea) before authenticating the user, and use that as a required key to generate the access token.
An alternative which I haven't used yet but I've heard a lot about as a device-friendly alternative to oAuth is xAuth. Have a look at it and if you use it then I'd be really interested to hear what your impressions are.
For hashing, sha1 is a bit better but don't get hung up about it - whatever the devices can easily (and quickly in a performance sense) implement is probably fine.
Hope that helps, good luck :)
So what you're after is some kind of server side authentication mechanism that will handle the authentication and authorisation aspects of a mobile application?
Assuming this is the case, then I would approach it as follows (but only 'cos I'm a Java developer so a C# guy would do it differently):
The RESTful authentication and authorisation service
This will work only over HTTPS to prevent eavesdropping.
It will be based on a combination of RESTEasy, Spring Security and CAS (for single sign on across multiple applications).
It will work with both browsers and web-enabled client applications
There will be a web-based account management interface to allow users to edit their details, and admins (for particular applications) to change authorisation levels
The client side security library/application
For each supported platform (e.g.
Symbian, Android, iOS etc) create a
suitable implementation of the
security library in the native
language of the platform (e.g. Java,
ObjectiveC, C etc)
The library
should manage the HTTPS request
formation using the available APIs
for the given platform (e.g. Java
uses URLConnection etc)
Consumers of the general authentication and
authorisation library ('cos that's
all it is) will code to a specific
interface and won't be happy if it
ever changes so make sure it's very
flexible. Follow existing design
choices such as Spring Security.
So now that the view from 30,000ft is complete how do you go about doing it? Well, it's not that hard to create an authentication and authorisation system based on the listed technologies on the server side with a browser client. In combination with HTTPS, the frameworks will provide a secure process based on a shared token (usually presented as a cookie) generated by the authentication process and used whenever the user wishes to do something. This token is presented by the client to the server whenever any request takes place.
In the case of the local mobile application, it seems that you're after a solution that does the following:
Client application has a defined Access Control List (ACL) controlling runtime access to method calls. For example, a given user can read a collection from a method, but their ACL only permits access to objects that have a Q in their name so some data in the collection is quiety pulled by the security interceptor. In Java this is straightforward, you just use the Spring Security annotations on the calling code and implement a suitable ACL response process. In other languages, you're on your own and will probably need to provide boilerplate security code that calls into your security library. If the language supports AOP (Aspect Oriented Programming) then use it to the fullest for this situation.
The security library caches the complete list of authorisations into it's private memory for the current application so that it doesn't have to remain connected. Depending on the length of the login session, this could be a one-off operation that never gets repeated.
Whatever you do, don't try to invent your own security protocol, or use security by obscurity. You'll never be able to write a better algorithm for this than those that are currently available and free. Also, people trust well known algorithms. So if you say that your security library provides authorisation and authentication for local mobile applications using a combination of SSL, HTTPS, SpringSecurity and AES encrypted tokens then you'll immediately have creditibility in the marketplace.
Hope this helps, and good luck with your venture. If you would like more info, let me know - I've written quite a few web applications based on Spring Security, ACLs and the like.
Twitter addressed the external application issue in oAuth by supporting a variant they call xAuth. Unfortunately there's already a plethora of other schemes with this name so it can be confusing to sort out.
The protocol is oAuth, except it skips the request token phase and simply immediately issues an access token pair upon receipt of a username and password. (Starting at step E here.) This initial request and response must be secured - it's sending the username and password in plaintext and receiving back the access token and secret token. Once the access token pair has been configured, whether the initial token exchange was via the oAuth model or the xAuth model is irrelevant to both the client and server for the rest of the session. This has the advantage that you can leverage existing oAuth infrastructure and have very nearly the same implementation for mobile/web/desktop applications. The main disadvantage is that the application is granted access to the client's user name and password, but it appears like your requirements mandate this approach.
In any case, I'd like to agree with your intuition and that of several other answerers here: don't try to build something new from scratch. Security protocols can be easy to start but are always hard to do well, and the more convoluted they become the less likely your third-party developers are to be able to implement against them. Your hypothetical protocol is very similar to o(x)Auth - api_key/api_secret, nonce, sha1 hashing - but instead of being able to use one of the many existing libraries your developers are going to need to roll their own.
Super late to the party but I wanted to throw in some additional points to consider for anyone interested in this issue. I work for a company doing mobile API security solutions (approov) so this whole area is definitely relevant to my interests.
To start with, the most important thing to consider when trying to secure a mobile API is how much it is worth to you. The right solution for a bank is different to the right solution for someone just doing things for fun.
In the proposed solution you mention that a minimum of three parameters will be required:
apikey - given to developer at registration
timestamp - doubles as a unique identifier for each message for a given apikey
hash - a hash of the timestamp + the apisecret
The implication of this is that for some API calls no username/password is required. This can be useful for applications where you don't want to force a login (browsing in online shops for example).
This is a slightly different problem to the one of user authentication and is more like authentication or attestation of the software. There is no user, but you still want to ensure that there is no malicious access to your API. So you use your API secret to sign the traffic and identify the code accessing the API as genuine. The potential problem with this solution is that you then have to give away the secret inside every version of the app. If someone can extract the secret they can use your API, impersonating your software but doing whatever they like.
To counter that threat there are a bunch of things you can do depending on how valuable the data is. Obfuscation is a simple way to make it harder to extract the secret. There are tools that will do that for you, more so for Android, but you still have to have code that generates your hash and a sufficiently skilled individual can always just call the function that does the hashing directly.
Another way to mitigate against excessive use of an API that doesn't require a login is to throttle the traffic and potentially identify and block suspect IP addresses. The amount of effort you want to go to will largely depend upon how valuble your data is.
Beyond that you can easily start getting into the domain of my day job. Anyway, it's another aspect of securing APIs that I think is important and wanted to flag up.