<@U04UQ68083H> in my app users can add new users t...
# ory-copilot
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@chilly-king-10285 in my app users can add new users to the app so like an invitation. my backend needs to check the identity first before doing anything. is there any endpoint that i can use in golang to check if the email exists and is conform before continuing?
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A message from kapa.ai
Based on the knowledge sources provided, there isn't a specific endpoint in Ory that allows you to check if an email exists and conforms to requirements without actually creating an identity. However, there are a few relevant points to consider: 1. Ory recommends not trusting unverified email addresses. As mentioned in the [Map and merge profile data](https://www.ory.sh/docs/kratos/social-signin/data-mapping#emails-and-phone-numbers) documentation: "Never trust unverified email addresses and phone numbers. When using the email or phone number from a social sign-in provider in your identity, you must make sure that the email or phone number is verified." 2. There was a feature request for a similar functionality in the [Allow to check whether a username/password would be accepted by Ory without actually registering a user](https://github.com/ory/network/issues/265) issue. However, this feature is not currently available. 3. The recommended approach is to create the identity and then verify the email address. You can use the [IdentityAPI](https://www.ory.sh/docs/kratos/self-hosted/go#use-identity-management-api) in Go to create an identity and then initiate the verification process. 4. After creating the identity, you can set up email verification as described in the [Account activation and email verification settings](https://www.ory.sh/docs/kratos/self-hosted/account-activation-email-verification) documentation. Given these points, the best approach for your use case would be: 1. Create the identity using the IdentityAPI in Go. 2. Set up email verification for the newly created identity. 3. Only consider the email as valid and conforming after it has been verified. This approach ensures that you're working with verified email addresses and follows Ory's recommended security practices. However, it does mean that you'll need to handle the case where an identity is created but the email is not verified, potentially requiring cleanup of unverified identities after a certain period.
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@chilly-king-10285 Hi, I’ve asked a few times in the past, but I’d really appreciate a definitive answer to my question. Here’s an overview of my current setup using Kratos, Keto, and Oathkeeper: 1. User Registration: Users register through Kratos. User verification is currently disabled but will be enabled soon. 2. Role Management: User roles are stored in the metadata_public column in Kratos. 3. Token Generation and Middleware: Oathkeeper is configured with authorizers and mutators (id_token). When a user makes a request, Oathkeeper generates a JWT token containing claims derived from the user’s metadata_public. This token is passed upstream to my service. 4. Role-Based Access Control: A middleware in my Go backend decrypts the JWT token and extracts the user role. The role is then used to validate access to specific endpoints. Endpoint access is managed through access roles defined as objects in a remote JSON authorization handler. I’d like to know: Is this flow optimal, or are there any best practices I should adopt to simplify or enhance security and performance? Are there any alternative approaches to streamline this setup while retaining flexibility for role-based access control? Looking forward to your advice!
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A message from kapa.ai
Thank you for providing a detailed overview of your current setup using Ory Kratos, Keto, and Oathkeeper. I'll analyze your setup based on the information provided in the knowledge sources and offer some insights and potential improvements. Your current setup appears to be a solid foundation, but there are some areas where you could potentially optimize and enhance your system: 1. User Registration and Verification: Your approach of using Kratos for user registration is correct. Enabling user verification is a good security practice. As mentioned in the [Allow login only with verified email](https://www.ory.sh/docs/identities/sign-in/actions#allow-login-only-with-verified-email) documentation, you can require email verification for login. However, Ory recommends not making it mandatory for sign-in to improve signup conversion rates. 2. Role Management: Storing user roles in the metadata_public column of Kratos is a valid approach. However, for more complex permission structures, you might want to consider using Ory Keto for role-based access control (RBAC). The [Role Based Access Control (RBAC) guide](https://www.ory.sh/docs/keto/guides/rbac) provides information on implementing RBAC using Ory Permissions. 3. Token Generation and Middleware: Your use of Oathkeeper for token generation and middleware is appropriate. The ID Token Mutator you're using is a good choice for passing user information upstream. This aligns with the configuration described in the [Zero Trust with Access Proxy guide](https://www.ory.sh/docs/kratos/guides/zero-trust-iap-proxy-identity-access-proxy#configuration). 4. Role-Based Access Control: Your current approach of using a middleware in your Go backend to decrypt the JWT and validate access based on roles is functional. However, you might want to consider leveraging Ory Keto for more robust and scalable permission management. Keto can handle complex permission structures and reduce the logic you need to implement in your backend. Recommendations for optimization and best practices: 1. Consider using Ory Keto for RBAC: Instead of managing roles solely in Kratos metadata and implementing access control in your backend, you could use Keto to define and check permissions. This would allow for more flexible and scalable access control. 2. Implement fine-grained permissions: As mentioned in the [Best practices for Ory Permissions](https://www.ory.sh/docs/keto/guides/simple-access-check-guide#best-practices), use fine-grained permissions to enforce the principle of least privilege. This can be achieved more easily with Keto. 3. Avoid caching permission checks: The same best practices document advises against caching permission checks in your application, as Ory Network provides a low-latency, globally distributed system with appropriate caching.
Thank you for providing a detailed overview of your current setup using Ory Kratos, Keto, and Oathkeeper. I'll analyze your setup based on the information provided in the knowledge sources and offer some insights and potential improvements. Your current setup appears to be a solid foundation, but there are some areas where you could potentially optimize and enhance your system: 1. User Registration and Verification: Your approach of using Kratos for user registration is correct. Enabling user verification is a good security practice. As mentioned in the [Allow login only with verified email](https://www.ory.sh/docs/identities/sign-in/actions#allow-login-only-with-verified-email) documentation, you can require email verification for login. However, Ory recommends not making it mandatory for sign-in to improve signup conversion rates. 2. Role Management: Storing user roles in the metadata_public column of Kratos is a valid approach. However, for more complex permission structures, you might want to consider using Ory Keto for role-based access control (RBAC). The [Role Based Access Control (RBAC) guide](https://www.ory.sh/docs/keto/guides/rbac) provides information on implementing RBAC using Ory Permissions. 3. Token Generation and Middleware: Your use of Oathkeeper for token generation and middleware is appropriate. The ID Token Mutator you're using is a good choice for passing user information upstream. This aligns with the configuration described in the [Zero Trust with Access Proxy guide](https://www.ory.sh/docs/kratos/guides/zero-trust-iap-proxy-identity-access-proxy#configuration). 4. Role-Based Access Control: Your current approach of using a middleware in your Go backend to decrypt the JWT and validate access based on roles is functional. However, you might want to consider leveraging Ory Keto for more robust and scalable permission management. Keto can handle complex permission structures and reduce the logic you need to implement in your backend. Recommendations for optimization and best practices: 1. Consider using Ory Keto for RBAC: Instead of managing roles solely in Kratos metadata and implementing access control in your backend, you could use Keto to define and check permissions. This would allow for more flexible and scalable access control. 2. Implement fine-grained permissions: As mentioned in the [Best practices for Ory Permissions](https://www.ory.sh/docs/keto/guides/simple-access-check-guide#best-practices), use fine-grained permissions to enforce the principle of least privilege. This can be achieved more easily with Keto. 3. Avoid caching permission checks: The same best practices document advises against caching permission checks in your application, as Ory Network provides a low-latency, globally distributed system with appropriate caching. 4. Secure your APIs: Ensure that your Ory server APIs are properly secured. The [API access control](https://www.ory.sh/docs/self-hosted/operations/api-access-control) documentation emphasizes the importance of protecting access to Ory APIs using Ory Oathkeeper or a comparable API Gateway. 5. Consider using Ory Network: If you're looking for a managed solution that combines these open-source projects with effortless scaling, you might want to explore [Ory Network](https://www.ory.sh/oauth2-openid-connect-do-you-need-use-cases-examples/#if-not-oauth2-what-else). In conclusion, your current setup is on the right track, but integrating Ory Keto for permission management could significantly enhance your RBAC capabilities and simplify your backend logic. Always ensure you're performing permission checks in every critical path of your application and regularly audit permissions to maintain security.
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@chilly-king-10285 i am using keto but not as good as i should do…fffffffff
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A message from kapa.ai
I understand you're expressing frustration about not using Ory Keto as effectively as you'd like. Don't worry, it's common to face challenges when implementing complex systems like Ory Keto. Let's see if we can help you improve your usage of Keto. To better assist you, it would be helpful if you could provide more specific details about the issues you're facing or areas where you feel you're not using Keto optimally. However, based on the information available, I can offer some general advice and best practices for using Ory Keto effectively: 1. Understand the core concepts: Make sure you have a good grasp of Ory Keto's fundamental concepts such as [namespaces](https://www.ory.sh/docs/keto/concepts/namespaces), [objects](https://www.ory.sh/docs/keto/concepts/objects), [subjects](https://www.ory.sh/docs/keto/concepts/subjects), and [relationships](https://www.ory.sh/docs/keto/concepts/relation-tuples). 2. Use the Ory Permission Language (OPL): Leverage OPL to create flexible and powerful permission rules. You can do this using the Ory Console as mentioned in the [introduction to Ory Permissions](https://www.ory.sh/docs/keto). 3. Follow best practices: The [Best practices section](https://www.ory.sh/docs/keto/guides/simple-access-check-guide#best-practices) recommends: - Don't cache permission checks - Perform permission checks in every critical path of the application - Use fine-grained permissions - Regularly audit permissions 4. Utilize the APIs effectively: Familiarize yourself with Keto's [check-API](https://www.ory.sh/docs/keto/concepts/api-overview#check-relation-tuple), [expand-API](https://www.ory.sh/docs/keto/concepts/api-overview#expand-subject-sets), and [list-API](https://www.ory.sh/docs/keto/concepts/api-overview#list-relation-tuples) to manage and query permissions effectively. 5. Consider migrating from older versions: If you're using an older version of Keto, you might want to consider migrating to the latest version. The [migration guide](https://www.ory.sh/docs/keto/guides/migrating-legacy-policies) can help you transition from older policy formats to the new relationship-based model. 6. Explore examples: Look at examples like the [Olymp Library file sharing application](https://www.ory.sh/docs/keto/examples/olymp-file-sharing) to understand how Keto can be implemented in real-world scenarios. If you have specific questions or challenges you're facing with Keto, please feel free to ask. Providing more details about your use case and the issues you're encountering will help me give you more targeted advice.
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@chilly-king-10285 i am using keto but not as good as i should do i have currently [ { “namespace”: “api_access”, “object”: “general_endpoints”, “relation”: “access”, “subject_id”: “USER” }, { “namespace”: “api_access”, “object”: “general_endpoints”, “relation”: “access”, “subject_id”: “ADMIN” }, { “namespace”: “api_access”, “object”: “general_endpoints”, “relation”: “access”, “subject_id”: “SUPER_USER” },… in the rules.json. i use the object as authorizer payload and the role as subject id. this makes sure that the endpoints are only useable by the users with the roles that have permission to the object. that should be good for now. i am not sure if this can be made better
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A message from kapa.ai
Thank you for providing more details about your current Keto setup. Your approach of using the object as the authorizer payload and the role as the subject ID is a valid starting point, but there are some ways you could potentially improve and make better use of Keto's capabilities. Here are some suggestions to enhance your setup: 1. Use Ory Permission Language (OPL): Instead of defining your rules in a JSON file, consider using the Ory Permission Language. OPL provides more flexibility and power in defining your permission rules. You can define these rules using the Ory Console as mentioned in the [introduction to Ory Permissions](https://www.ory.sh/docs/keto). 2. Implement Role Hierarchy: Your current setup treats USER, ADMIN, and SUPER_USER as separate entities. You could implement a role hierarchy using Keto's relationship model. For example:
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api_access:general_endpoints#access@SUPER_USER    api_access:general_endpoints#access@(api_access:SUPER_USER#member)    api_access:ADMIN#member@(api_access:SUPER_USER#member)    api_access:USER#member@(api_access:ADMIN#member)
This way, SUPER_USER inherits ADMIN permissions, and ADMIN inherits USER permissions. 3. Use Fine-Grained Permissions: Instead of a single "access" relation, consider using more specific relations like "read", "write", "delete", etc. This aligns with the best practice of using [fine-grained permissions](https://www.ory.sh/docs/keto/guides/simple-access-check-guide#best-practices). 4. Leverage Subject Sets: Keto supports [subject sets](https://www.ory.sh/docs/keto/concepts/subjects#subject-sets), which can be powerful for group-based permissions. For example:
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api_access:general_endpoints#access@(api_access:admin_group#member)
This would grant access to all members of the admin_group. 5. Use Namespaces Effectively: Your current setup uses a single "api_access" namespace. Consider creating separate namespaces for different parts of your application if needed. This can help in organizing and managing permissions more effectively. 6. Implement Check API: Ensure you're using Keto's [Check API](https://www.ory.sh/docs/keto/concepts/api-overview#check-relationships) to perform permission checks in your application. This API resolves subject sets and relationships to determine if a subject has a specific relation to an object. Remember, these are suggestions based on general best practices. The optimal setup depends on your specific use case and requirements. If you need more tailored advice, please provide more details about your application's structure and permission requirements. Lastly, don't forget to regularly audit your permissions and keep your permission model up to date as your application evolves. This is crucial for maintaining security and ensuring that users have the correct level of access.