Objective:
This deep security analysis aims to provide a thorough evaluation of the security posture of an application utilizing Ory Hydra for authentication and authorization. The analysis will focus on identifying potential security vulnerabilities and risks associated with Ory Hydra's architecture, components, and deployment, based on the provided security design review. The objective is to deliver specific, actionable, and tailored security recommendations to mitigate identified threats and enhance the overall security of the application.
Scope:
The scope of this analysis encompasses the following aspects of the Ory Hydra deployment, as outlined in the security design review:
- Ory Hydra Components: Admin API, Public API, Consent UI, and Database.
- External Integrations: Identity Providers and Client Applications.
- Deployment Environment: Kubernetes cluster, including namespaces, pods, services, deployments, ingress, and persistent storage.
- Build Pipeline: Code repository, CI/CD pipeline, build process, and container registry.
- Data Flow: Authentication and authorization flows involving users, applications, Ory Hydra, Identity Providers, and Resource Servers.
- Security Controls: Existing, accepted, and recommended security controls as listed in the design review.
- Security Requirements: Authentication, Authorization, Input Validation, and Cryptography requirements.
The analysis will not cover:
- Security of the external Identity Providers in detail, assuming they are managed and secured independently.
- Security of the Resource Servers, focusing primarily on Ory Hydra's role in securing access to them.
- General OAuth 2.0 and OpenID Connect protocol security, unless specifically related to Ory Hydra's implementation.
Methodology:
This deep analysis will employ the following methodology:
- Document Review: In-depth review of the provided security design review document, including business posture, security posture, design diagrams (C4 Context, Container, Deployment, Build), risk assessment, questions, and assumptions.
- Architecture Inference: Based on the design review and understanding of Ory Hydra's codebase and documentation (from
https://github.com/ory/hydra
), infer the detailed architecture, component interactions, and data flow within the Ory Hydra deployment. - Threat Modeling: Identify potential threats and vulnerabilities for each key component and data flow, considering common web application security risks, OAuth 2.0/OIDC specific vulnerabilities, and Kubernetes deployment security concerns.
- Security Control Mapping: Map existing, accepted, and recommended security controls from the design review to the identified threats and components. Evaluate the effectiveness and completeness of these controls.
- Gap Analysis: Identify security gaps and areas for improvement based on the threat model and security control mapping.
- Tailored Recommendations: Develop specific, actionable, and tailored mitigation strategies for each identified security gap, focusing on Ory Hydra configuration, deployment practices, and integration with other security tools.
- Prioritization: Prioritize recommendations based on risk level and business impact.
This section breaks down the security implications of each key component of the Ory Hydra deployment, based on the provided design review and inferred architecture.
2.1.1 Admin API (Go)
- Functionality: Manages Ory Hydra configuration, clients, policies, scopes, and performs system monitoring. Access is intended for administrators and automated systems.
- Security Implications:
- Privilege Escalation: Vulnerabilities in the Admin API could allow unauthorized users to gain administrative control over Ory Hydra, leading to complete compromise of the authorization system.
- Data Breach: Exposure of Admin API endpoints or vulnerabilities could lead to unauthorized access to sensitive configuration data, including client secrets, database credentials, and policy definitions.
- Denial of Service (DoS): Exploitation of vulnerabilities or resource exhaustion in the Admin API could disrupt Ory Hydra's management capabilities.
- Misconfiguration: Unsecured Admin API could be exploited to misconfigure Ory Hydra, leading to security breaches in the authentication and authorization flows.
- Supply Chain Attacks: Compromise of dependencies used by the Admin API could introduce vulnerabilities.
- Existing Security Controls: Authentication and authorization for admin access (API keys, RBAC), input validation, output encoding, audit logging, TLS/HTTPS.
- Recommended Security Controls: WAF, Penetration testing, Robust monitoring and alerting, Secure secret management, SIEM.
2.1.2 Public API (Go)
- Functionality: Handles public-facing OAuth 2.0 and OpenID Connect flows, token issuance, introspection, revocation, and consent management delegation. Interacts with client applications and Identity Providers.
- Security Implications:
- Authentication Bypass: Vulnerabilities in OAuth 2.0/OIDC implementation could allow attackers to bypass authentication and gain unauthorized access to protected resources.
- Authorization Bypass: Flaws in policy enforcement or scope validation could lead to unauthorized access to resources even with valid tokens.
- Token Theft/Leakage: Insecure token handling, storage, or transmission could lead to token compromise and unauthorized access.
- Consent Bypass/Manipulation: Vulnerabilities in the consent flow could allow attackers to bypass user consent or manipulate consent decisions, leading to unauthorized data access.
- Cross-Site Scripting (XSS): Vulnerabilities in error messages or consent UI served by the Public API could be exploited for XSS attacks.
- Open Redirect: Improper validation of
redirect_uri
parameters could lead to open redirect vulnerabilities, potentially used in phishing attacks. - Denial of Service (DoS): Publicly accessible API endpoints are susceptible to DoS attacks.
- Rate Limiting Bypass: If rate limiting is not properly implemented or configured, attackers could bypass it to launch brute-force or DoS attacks.
- Supply Chain Attacks: Compromise of dependencies used by the Public API could introduce vulnerabilities.
- Existing Security Controls: Input validation, output encoding, secure session management, rate limiting, TLS/HTTPS, OAuth 2.0 and OpenID Connect security best practices.
- Recommended Security Controls: WAF, Penetration testing, Rate limiting, Robust monitoring and alerting, SIEM.
2.1.3 Consent UI (Go or External)
- Functionality: Presents consent requests to users during OAuth 2.0 authorization flows and collects user consent decisions. Can be a built-in component or an external application.
- Security Implications:
- Cross-Site Scripting (XSS): Vulnerabilities in the Consent UI could be exploited for XSS attacks, potentially leading to session hijacking or credential theft.
- Cross-Site Request Forgery (CSRF): Lack of CSRF protection could allow attackers to trick users into granting consent without their knowledge.
- Consent Manipulation: Vulnerabilities could allow attackers to manipulate the consent UI to trick users into granting broader permissions than intended.
- Information Disclosure: Improper handling of consent data or error messages could lead to information disclosure.
- Phishing: If the Consent UI is not properly branded and secured, it could be spoofed in phishing attacks to steal user credentials or OAuth grants.
- Session Hijacking: Insecure session management in the Consent UI could lead to session hijacking.
- Existing Security Controls: Input validation, output encoding, secure session management, protection against CSRF, TLS/HTTPS. Secure communication with Public API (if external).
- Recommended Security Controls: WAF, Penetration testing, Robust monitoring and alerting, SIEM.
2.1.4 Database (PostgreSQL, MySQL, etc.)
- Functionality: Persistent storage for Ory Hydra configuration, clients, policies, tokens, and consent sessions.
- Security Implications:
- Data Breach: Unauthorized access to the database could expose highly sensitive data, including client secrets, database credentials, cryptographic keys, access tokens, refresh tokens, and user consent data.
- Data Integrity Compromise: Database vulnerabilities or unauthorized access could lead to data modification or deletion, disrupting Ory Hydra's functionality and potentially leading to authorization bypasses.
- SQL Injection: Vulnerabilities in Ory Hydra's database interactions could lead to SQL injection attacks, allowing attackers to execute arbitrary SQL queries and potentially gain full control of the database.
- Denial of Service (DoS): Database vulnerabilities or resource exhaustion could lead to database downtime, impacting Ory Hydra's availability.
- Backup Compromise: Insecure storage or handling of database backups could expose sensitive data.
- Existing Security Controls: Database access control, encryption at rest (if supported by database), regular backups, database hardening, network security (firewall rules).
- Recommended Security Controls: Dedicated and hardened database server, Secure secret management, Robust monitoring and alerting, SIEM.
2.2.1 Identity Provider (External)
- Functionality: Manages user identities and authenticates users. Ory Hydra delegates user authentication to the Identity Provider.
- Security Implications:
- Compromised User Authentication: If the Identity Provider is compromised, user accounts could be compromised, leading to unauthorized access to applications protected by Ory Hydra.
- Account Takeover: Vulnerabilities in the Identity Provider's authentication mechanisms (e.g., password reset flows, MFA bypass) could lead to account takeover.
- Phishing Attacks: Users could be targeted by phishing attacks aimed at stealing credentials for the Identity Provider.
- Availability Issues: Outages or performance issues with the Identity Provider could impact Ory Hydra's ability to authenticate users.
- Existing Security Controls: User authentication mechanisms (passwords, MFA, biometrics), access control to user management interfaces, secure storage of user credentials, audit logging (managed by external provider).
- Accepted Risks: Reliance on external identity providers for user authentication security.
2.2.2 Applications (Software System)
- Functionality: Client applications that rely on Ory Hydra for authentication and authorization to access protected resources.
- Security Implications:
- Client-Side Vulnerabilities: Vulnerabilities in client applications (e.g., XSS, CSRF) could be exploited to steal access tokens or manipulate authorization flows.
- Insecure Client Credential Storage: If client applications use the Client Credentials Grant, insecure storage of client secrets could lead to unauthorized access.
- Improper OAuth 2.0 Flow Implementation: Incorrect implementation of OAuth 2.0 flows in client applications could introduce vulnerabilities or bypass security controls.
- Token Handling Vulnerabilities: Insecure storage or handling of access tokens and refresh tokens in client applications could lead to token theft.
- Existing Security Controls: Securely stores client credentials (if applicable), implements proper OAuth 2.0 client flow, validates access tokens (application-level security controls).
2.3.1 Kubernetes Cluster
- Functionality: Container orchestration platform hosting Ory Hydra components.
- Security Implications:
- Kubernetes API Server Vulnerabilities: Exploitation of vulnerabilities in the Kubernetes API server could lead to cluster compromise.
- RBAC Misconfiguration: Incorrectly configured Role-Based Access Control (RBAC) could grant excessive permissions to users or services, leading to privilege escalation.
- Network Policy Misconfiguration: Inadequate network policies could allow unauthorized network traffic within the cluster, potentially exposing services or data.
- Container Escape: Vulnerabilities in container runtime or container configurations could allow container escape, granting access to the underlying host system.
- Supply Chain Attacks: Compromise of base images or Kubernetes components could introduce vulnerabilities.
- Secrets Management Issues: Insecure storage or handling of Kubernetes secrets could expose sensitive data like database credentials or API keys.
- Existing Security Controls: Kubernetes RBAC, network policies, pod security policies, node security, audit logging.
2.3.2 Namespaces, Pods, Services, Deployments, Ingress, PersistentVolumeClaim
- Security Implications:
- Namespace Isolation Bypass: Vulnerabilities or misconfigurations could allow bypassing namespace isolation, leading to cross-namespace attacks.
- Pod Security Context Misconfiguration: Insecure pod security context configurations could weaken container isolation and increase the attack surface.
- Service Exposure: Improperly configured services could expose internal components to external networks or unauthorized users.
- Ingress Misconfiguration: Ingress misconfigurations could lead to open redirects, header injection vulnerabilities, or bypass WAF protections.
- PersistentVolumeClaim Security: Insecure storage backend for PersistentVolumeClaims could expose sensitive data at rest.
- Existing Security Controls: Kubernetes RBAC for namespace access control, network policies to restrict traffic within the namespace, container security context, resource limits, service account security, TLS configuration for Ingress.
2.4.1 Code Repository (GitHub)
- Functionality: Stores Ory Hydra source code and version history.
- Security Implications:
- Source Code Exposure: Unauthorized access to the code repository could expose proprietary code and potentially reveal vulnerabilities.
- Code Tampering: Compromise of developer accounts or vulnerabilities in the repository platform could allow malicious code injection.
- Credential Leakage: Accidental commit of secrets or credentials into the repository.
- Existing Security Controls: Access control (authentication and authorization), branch protection, audit logging, vulnerability scanning (GitHub Dependabot).
2.4.2 CI/CD Pipeline (GitHub Actions)
- Functionality: Automates the build, test, and deployment process for Ory Hydra.
- Security Implications:
- Pipeline Compromise: Compromise of the CI/CD pipeline could allow attackers to inject malicious code into builds or deployments.
- Secret Leakage: Insecure management of secrets within the CI/CD pipeline could expose sensitive credentials.
- Supply Chain Attacks: Compromise of dependencies used in the build process could introduce vulnerabilities.
- Unauthorized Access: Lack of proper access control to the CI/CD pipeline could allow unauthorized modifications.
- Existing Security Controls: Secure pipeline configuration, secret management (GitHub Secrets), access control to pipeline configuration, audit logging.
2.4.3 Build Process (Go Build, Tests, Linters, SAST)
- Functionality: Compiles code, runs tests, performs static analysis, and builds container images.
- Security Implications:
- Vulnerable Dependencies: Use of vulnerable dependencies could introduce security flaws into Ory Hydra.
- Build Environment Compromise: Compromise of the build environment could allow attackers to inject malicious code into the build artifacts.
- Insufficient Security Testing: Lack of comprehensive security testing (SAST, DAST, penetration testing) during the build process could result in undetected vulnerabilities.
- Existing Security Controls: SAST tools, linters, dependency scanning, secure build environment, artifact signing.
2.4.4 Container Registry (Docker Hub, GHCR)
- Functionality: Stores and distributes Docker images of Ory Hydra.
- Security Implications:
- Image Tampering: Compromise of the container registry could allow attackers to replace legitimate images with malicious ones.
- Image Vulnerabilities: Vulnerabilities in base images or application code within container images could be exploited.
- Unauthorized Access: Lack of proper access control to the container registry could allow unauthorized users to pull or push images.
- Public Image Exposure: Accidental or intentional exposure of private container images to the public.
- Existing Security Controls: Access control to container registry, vulnerability scanning of container images, image signing and verification.
This section provides actionable and tailored mitigation strategies for the identified threats, categorized by component.
3.1.1 Admin API:
- Recommendation 1 (Admin API Access Control): Enforce strong authentication and authorization for the Admin API.
- Mitigation: Implement API key-based authentication with strong key generation and rotation policies. Consider Role-Based Access Control (RBAC) to limit administrative privileges based on roles. Restrict access to the Admin API to only authorized administrators and automated systems via network policies and firewall rules.
- Recommendation 2 (Admin API Input Validation & Output Encoding): Rigorous input validation and output encoding for all Admin API endpoints.
- Mitigation: Implement comprehensive input validation on all Admin API endpoints to prevent injection attacks (e.g., SQL injection, command injection). Sanitize and encode all outputs to prevent XSS vulnerabilities. Utilize a robust validation library within the Go codebase.
- Recommendation 3 (Admin API Rate Limiting & DoS Protection): Implement rate limiting and request throttling for the Admin API.
- Mitigation: Configure rate limiting on Admin API endpoints to prevent brute-force attacks and DoS attempts. Use adaptive rate limiting to dynamically adjust limits based on traffic patterns. Consider using a WAF to further protect against DoS attacks.
- Recommendation 4 (Admin API Security Auditing & Monitoring): Comprehensive audit logging and monitoring for all Admin API activities.
- Mitigation: Enable detailed audit logging for all Admin API requests, including authentication attempts, configuration changes, and policy modifications. Integrate logs with a SIEM system for real-time monitoring and alerting of suspicious activities.
3.1.2 Public API:
- Recommendation 5 (Public API OAuth/OIDC Security Hardening): Strictly adhere to OAuth 2.0 and OpenID Connect security best practices.
- Mitigation: Implement robust validation of
redirect_uri
parameters to prevent open redirects. Enforce PKCE (Proof Key for Code Exchange) for public clients. Utilize state parameters to prevent CSRF attacks during authorization flows. Regularly review and update OAuth/OIDC implementation to address emerging vulnerabilities.
- Mitigation: Implement robust validation of
- Recommendation 6 (Public API Input Validation & Output Encoding): Comprehensive input validation and output encoding for all Public API endpoints.
- Mitigation: Implement strict input validation on all Public API endpoints, especially for parameters related to OAuth 2.0 flows (e.g.,
client_id
,redirect_uri
,scope
,response_type
). Sanitize and encode all outputs to prevent XSS vulnerabilities, particularly in error messages and consent UI interactions.
- Mitigation: Implement strict input validation on all Public API endpoints, especially for parameters related to OAuth 2.0 flows (e.g.,
- Recommendation 7 (Public API Rate Limiting & DoS Protection): Implement robust rate limiting and request throttling for the Public API.
- Mitigation: Configure rate limiting on Public API endpoints, especially token endpoints and authorization endpoints, to prevent brute-force attacks, credential stuffing, and DoS attempts. Use a WAF to further protect against application-layer DoS attacks.
- Recommendation 8 (Public API WAF Deployment): Deploy a Web Application Firewall (WAF) in front of the Public API.
- Mitigation: Implement a WAF with rulesets specifically designed to protect OAuth 2.0 and OpenID Connect endpoints. Configure the WAF to detect and block common web attacks, including SQL injection, XSS, CSRF, and OAuth-specific attacks like parameter tampering and authorization header manipulation.
3.1.3 Consent UI:
- Recommendation 9 (Consent UI XSS & CSRF Protection): Prioritize XSS and CSRF prevention in the Consent UI.
- Mitigation: Implement robust output encoding and input validation within the Consent UI codebase to prevent XSS vulnerabilities. Implement CSRF protection mechanisms, such as synchronizer tokens, to prevent CSRF attacks. Regularly perform security code reviews and penetration testing focused on the Consent UI.
- Recommendation 10 (Consent UI Secure Session Management): Ensure secure session management for the Consent UI.
- Mitigation: Use secure session cookies with
HttpOnly
andSecure
flags. Implement proper session invalidation after user logout or inactivity. Consider using short session timeouts to minimize the window of opportunity for session hijacking.
- Mitigation: Use secure session cookies with
- Recommendation 11 (Consent UI Phishing Prevention): Implement measures to prevent phishing attacks targeting the Consent UI.
- Mitigation: Ensure the Consent UI is clearly branded and visually consistent with the organization's applications. Use HTTPS for all Consent UI communication. Educate users about phishing risks and how to identify legitimate consent requests. Consider using a dedicated domain for the Consent UI to enhance trust.
3.1.4 Database:
- Recommendation 12 (Database Hardening & Access Control): Harden the database server and implement strict access control.
- Mitigation: Deploy the database on a dedicated and hardened server. Implement strong database access control, limiting access to only Ory Hydra components that require it. Use network policies and firewall rules to restrict network access to the database server. Regularly apply database security patches and updates.
- Recommendation 13 (Database Encryption at Rest & in Transit): Enable encryption at rest and in transit for the database.
- Mitigation: Enable database encryption at rest if supported by the chosen database system. Enforce TLS/HTTPS for all communication between Ory Hydra components and the database.
- Recommendation 14 (Database Secret Management): Securely manage database credentials.
- Mitigation: Do not hardcode database credentials in configuration files or code. Utilize a secure secret management solution (e.g., Kubernetes Secrets, HashiCorp Vault) to store and manage database credentials. Rotate database credentials regularly.
- Recommendation 15 (Database Backups Security): Securely manage and store database backups.
- Mitigation: Encrypt database backups at rest and in transit. Store backups in a secure location with restricted access. Regularly test backup and restore procedures.
3.2.1 Identity Provider:
- Recommendation 16 (Identity Provider Security Assessment): Conduct a security assessment of the chosen Identity Provider.
- Mitigation: Evaluate the security posture of the selected Identity Provider, including their security controls, compliance certifications, and incident response capabilities. Choose reputable and secure Identity Providers with strong security track records.
- Recommendation 17 (MFA Enforcement via Identity Provider): Enforce Multi-Factor Authentication (MFA) through the Identity Provider.
- Mitigation: Configure Ory Hydra to leverage MFA capabilities provided by the Identity Provider. Encourage or mandate users to enable MFA for enhanced account security.
- Recommendation 18 (Identity Provider Monitoring & Logging): Ensure adequate monitoring and logging of Identity Provider activities.
- Mitigation: Work with the Identity Provider to ensure sufficient logging and monitoring of authentication events, user management activities, and security-related events. Integrate Identity Provider logs with the SIEM system for centralized security monitoring.
3.2.2 Applications:
- Recommendation 19 (Application Security Best Practices): Educate application developers on secure coding practices and OAuth 2.0/OIDC security.
- Mitigation: Provide training and guidance to application developers on secure coding practices, particularly related to OAuth 2.0 and OpenID Connect. Emphasize the importance of secure client credential storage, proper OAuth flow implementation, and secure token handling.
- Recommendation 20 (Application Security Testing): Implement security testing for client applications.
- Mitigation: Integrate security testing (SAST, DAST, penetration testing) into the development lifecycle of client applications. Focus testing on OAuth 2.0/OIDC integration points and token handling mechanisms.
- Recommendation 21 (Kubernetes Security Hardening): Harden the Kubernetes cluster and its components.
- Mitigation: Follow Kubernetes security best practices, including regularly patching Kubernetes components, enabling RBAC, implementing network policies, using pod security policies/admission controllers, and securing the Kubernetes API server.
- Recommendation 22 (Namespace Isolation & Network Policies): Utilize Kubernetes namespaces and network policies for isolation.
- Mitigation: Deploy Ory Hydra components within a dedicated Kubernetes namespace (
ory-hydra
). Implement network policies to restrict network traffic within the namespace and between namespaces, limiting communication to only necessary services.
- Mitigation: Deploy Ory Hydra components within a dedicated Kubernetes namespace (
- Recommendation 23 (Pod Security Context Configuration): Configure secure pod security contexts.
- Mitigation: Apply restrictive pod security contexts to Ory Hydra pods, limiting privileges, capabilities, and access to host resources. Use securityContext settings to enforce least privilege principles.
- Recommendation 24 (Kubernetes Secrets Management): Securely manage Kubernetes secrets.
- Mitigation: Use Kubernetes Secrets to store sensitive data like database credentials and API keys. Consider using external secret management solutions like HashiCorp Vault for enhanced secret security and rotation. Avoid storing secrets in plain text in manifests or container images.
- Recommendation 25 (Ingress Security Configuration): Securely configure the Kubernetes Ingress.
- Mitigation: Enforce HTTPS for all Ingress traffic. Configure TLS termination at the Ingress controller. Integrate the WAF with the Ingress controller to protect Ory Hydra services. Implement rate limiting and access control policies at the Ingress level.
- Recommendation 26 (Build Pipeline Security Hardening): Secure the CI/CD pipeline and build environment.
- Mitigation: Implement strong access control to the CI/CD pipeline configuration and execution. Securely manage secrets used in the pipeline (e.g., API keys, credentials). Harden the build environment and regularly patch build agents.
- Recommendation 27 (Dependency Scanning & Management): Implement dependency scanning and management in the build process.
- Mitigation: Integrate dependency scanning tools into the CI/CD pipeline to identify and remediate vulnerable dependencies. Use dependency management tools to track and update dependencies. Regularly review and update dependencies to address known vulnerabilities.
- Recommendation 28 (Static Application Security Testing (SAST)): Integrate SAST into the build process.
- Mitigation: Implement SAST tools in the CI/CD pipeline to automatically scan the Ory Hydra codebase for security vulnerabilities during the build process. Configure SAST tools to check for common web vulnerabilities, OAuth/OIDC specific flaws, and coding best practices.
- Recommendation 29 (Container Image Vulnerability Scanning): Implement container image vulnerability scanning.
- Mitigation: Integrate container image vulnerability scanning into the CI/CD pipeline and container registry. Scan container images for vulnerabilities before deployment. Use a vulnerability scanning tool that provides up-to-date vulnerability information and remediation guidance.
- Recommendation 30 (Container Image Signing & Verification): Implement container image signing and verification.
- Mitigation: Sign container images during the build process using a trusted signing key. Implement image verification in the deployment pipeline to ensure that only signed and trusted images are deployed.
The following is a suggested prioritization of the mitigation strategies, based on risk level and potential business impact:
High Priority (Immediate Action Recommended):
- Recommendation 1: Admin API Access Control
- Recommendation 5: Public API OAuth/OIDC Security Hardening
- Recommendation 7: Public API Rate Limiting & DoS Protection
- Recommendation 8: Public API WAF Deployment
- Recommendation 12: Database Hardening & Access Control
- Recommendation 13: Database Encryption at Rest & in Transit
- Recommendation 14: Database Secret Management
- Recommendation 24: Kubernetes Secrets Management
- Recommendation 26: Build Pipeline Security Hardening
- Recommendation 27: Dependency Scanning & Management
- Recommendation 28: Static Application Security Testing (SAST)
- Recommendation 29: Container Image Vulnerability Scanning
Medium Priority (Address in Near Term):
- Recommendation 2: Admin API Input Validation & Output Encoding
- Recommendation 3: Admin API Rate Limiting & DoS Protection
- Recommendation 4: Admin API Security Auditing & Monitoring
- Recommendation 6: Public API Input Validation & Output Encoding
- Recommendation 9: Consent UI XSS & CSRF Protection
- Recommendation 10: Consent UI Secure Session Management
- Recommendation 15: Database Backups Security
- Recommendation 16: Identity Provider Security Assessment
- Recommendation 17: MFA Enforcement via Identity Provider
- Recommendation 21: Kubernetes Security Hardening
- Recommendation 22: Namespace Isolation & Network Policies
- Recommendation 23: Pod Security Context Configuration
- Recommendation 25: Ingress Security Configuration
- Recommendation 30: Container Image Signing & Verification
Low Priority (Address in Long Term):
- Recommendation 11: Consent UI Phishing Prevention
- Recommendation 18: Identity Provider Monitoring & Logging
- Recommendation 19: Application Security Best Practices
- Recommendation 20: Application Security Testing
This prioritization is a starting point and should be adjusted based on the specific context, risk appetite, and resources available for the project. Regular security reviews and penetration testing are crucial to continuously assess and improve the security posture of the Ory Hydra deployment.