Okay, let's create a design document for TimescaleDB, focusing on aspects relevant for threat modeling.
TimescaleDB is an open-source time-series database optimized for fast ingest and complex queries. It's built on PostgreSQL and offered as a PostgreSQL extension. The business priorities and goals revolve around:
- Providing a scalable and performant time-series database solution.
- Maintaining compatibility with the PostgreSQL ecosystem (tools, drivers, etc.).
- Offering a seamless user experience for developers familiar with PostgreSQL.
- Enabling efficient storage and retrieval of time-series data for various use cases (IoT, monitoring, analytics, etc.).
- Building a strong community and ecosystem around the product.
- Offering managed cloud services (Timescale Cloud) for ease of deployment and management.
Based on these, the most important business risks are:
- Data loss or corruption: Loss of time-series data can have significant consequences for users relying on TimescaleDB for critical monitoring or analytics.
- Performance degradation: Slow query performance or ingest bottlenecks can render the database unusable for its intended purpose.
- Security breaches: Unauthorized access to or modification of data can lead to data breaches, compliance violations, and reputational damage.
- Incompatibility issues: Breaking changes or incompatibilities with PostgreSQL can disrupt existing user workflows and hinder adoption.
- Lack of scalability: Inability to handle increasing data volumes or user load can limit growth and adoption.
- Operational complexity: Difficulty in deploying, managing, or troubleshooting TimescaleDB can lead to user frustration and churn.
TimescaleDB leverages PostgreSQL's security features and adds its own enhancements. Here's a breakdown:
- security control: Authentication: Inherits PostgreSQL's authentication mechanisms, including password-based authentication (SCRAM-SHA-256, MD5), certificate-based authentication, GSSAPI, SSPI, and PAM. Described in PostgreSQL documentation.
- security control: Authorization: Uses PostgreSQL's role-based access control (RBAC) system with GRANT/REVOKE privileges on databases, schemas, tables, and functions. Described in PostgreSQL documentation.
- security control: Data Encryption: Supports PostgreSQL's Transparent Data Encryption (TDE) for data at rest when configured on the underlying PostgreSQL instance. Also supports SSL/TLS encryption for data in transit. Described in PostgreSQL and TimescaleDB documentation.
- security control: Auditing: Leverages PostgreSQL's auditing capabilities (e.g., pgaudit extension) to track database activity. Described in PostgreSQL documentation.
- security control: Row-Level Security (RLS): Inherits PostgreSQL's RLS capabilities to enforce fine-grained access control at the row level. Described in PostgreSQL documentation.
- security control: Network Security: Relies on network configuration and firewalls (typically managed at the infrastructure level) to restrict access to the database port (default 5432). Described in deployment environment documentation (e.g., AWS, Azure, GCP).
- security control: Regular Security Updates: TimescaleDB releases regular updates, including security patches, to address vulnerabilities. Described in TimescaleDB release notes and security advisories.
- security control: Secure Development Practices: Timescale follows secure coding practices, including code reviews, static analysis, and vulnerability scanning. Described in internal development documentation.
- accepted risk: Limited built-in input validation specific to TimescaleDB features: TimescaleDB relies primarily on PostgreSQL's input validation. While PostgreSQL handles general SQL injection, TimescaleDB-specific functions might have undiscovered vulnerabilities.
- accepted risk: Complexity of configuration: Securely configuring PostgreSQL and TimescaleDB requires expertise. Misconfigurations can lead to vulnerabilities.
- accepted risk: Dependency on PostgreSQL security: TimescaleDB's security is inherently tied to the security of the underlying PostgreSQL instance. Vulnerabilities in PostgreSQL directly impact TimescaleDB.
- accepted risk: Supply chain risks: Although TimescaleDB itself might be secure, dependencies (libraries, build tools) could introduce vulnerabilities.
Recommended Security Controls (High Priority):
- Implement more robust input validation specifically for TimescaleDB's custom functions and APIs.
- Provide a security hardening guide tailored to TimescaleDB, covering recommended configurations and best practices.
- Conduct regular penetration testing and security audits focused on TimescaleDB-specific features.
- Implement a Software Bill of Materials (SBOM) to track and manage dependencies, mitigating supply chain risks.
Security Requirements:
- Authentication:
- Support strong password policies.
- Enforce multi-factor authentication (MFA) where possible (leveraging PostgreSQL extensions or external tools).
- Integrate with existing identity providers (e.g., LDAP, Active Directory) if required.
- Authorization:
- Implement granular permissions based on the principle of least privilege.
- Regularly review and audit user permissions.
- Utilize Row-Level Security (RLS) to enforce data access restrictions based on user attributes or roles.
- Input Validation:
- Validate all user inputs to prevent SQL injection and other injection attacks.
- Sanitize data before using it in queries or system commands.
- Implement specific validation checks for TimescaleDB functions and APIs.
- Cryptography:
- Use strong encryption algorithms (e.g., AES-256) for data at rest and in transit.
- Securely manage encryption keys.
- Regularly review and update cryptographic protocols and libraries.
- Ensure proper certificate management for TLS connections.
graph LR
subgraph "TimescaleDB System"
TimescaleDB[("TimescaleDB")]
end
User[("User/Application")]
PostgreSQL[("PostgreSQL")]
MonitoringTools[("Monitoring Tools")]
BackupSystem[("Backup System")]
ExternalAuth[("External Auth Provider")]
User -- "Uses (SQL, APIs)" --> TimescaleDB
TimescaleDB -- "Extends" --> PostgreSQL
TimescaleDB -- "Sends metrics" --> MonitoringTools
TimescaleDB -- "Backups" --> BackupSystem
PostgreSQL -- "Authenticates against" --> ExternalAuth
Element Descriptions:
-
- Name: User/Application
- Type: User
- Description: Represents a user or application interacting with TimescaleDB.
- Responsibilities: Sending queries, inserting data, managing the database.
- Security controls: Authentication, authorization, input validation (at the application level).
-
- Name: TimescaleDB
- Type: System
- Description: The TimescaleDB time-series database extension.
- Responsibilities: Providing time-series specific functionality, managing data storage and retrieval.
- Security controls: Inherits PostgreSQL security controls, plus any TimescaleDB-specific enhancements.
-
- Name: PostgreSQL
- Type: System
- Description: The underlying PostgreSQL database system.
- Responsibilities: Handling core database operations, managing data storage, enforcing security policies.
- Security controls: Authentication, authorization, data encryption, auditing, RLS.
-
- Name: Monitoring Tools
- Type: System
- Description: External tools used to monitor TimescaleDB performance and health.
- Responsibilities: Collecting metrics, generating alerts.
- Security controls: Secure communication channels (e.g., TLS), authentication.
-
- Name: Backup System
- Type: System
- Description: System used for backing up TimescaleDB data.
- Responsibilities: Creating and storing backups, restoring data in case of failure.
- Security controls: Data encryption, access controls, secure storage.
-
- Name: External Auth Provider
- Type: System
- Description: External system for user authentication (e.g., LDAP, Active Directory).
- Responsibilities: Authenticating users, providing user information.
- Security controls: Secure communication, strong authentication protocols.
Since TimescaleDB is a PostgreSQL extension, the container diagram is essentially an extension of the context diagram.
graph LR
subgraph "TimescaleDB System"
TimescaleDBExtension[("TimescaleDB Extension")]
PostgreSQLServer[("PostgreSQL Server")]
WAL[("Write-Ahead Log")]
Storage[("Disk Storage")]
end
User[("User/Application")]
MonitoringTools[("Monitoring Tools")]
BackupSystem[("Backup System")]
User -- "Uses (SQL, APIs)" --> PostgreSQLServer
PostgreSQLServer -- "Loads" --> TimescaleDBExtension
PostgreSQLServer -- "Writes to" --> WAL
PostgreSQLServer -- "Reads/Writes" --> Storage
TimescaleDBExtension -- "Interacts with" --> PostgreSQLServer
TimescaleDBExtension -- "Sends metrics" --> MonitoringTools
PostgreSQLServer -- "Backups" --> BackupSystem
Element Descriptions:
-
- Name: User/Application
- Type: User
- Description: Represents a user or application interacting with TimescaleDB.
- Responsibilities: Sending queries, inserting data, managing the database.
- Security controls: Authentication, authorization, input validation (at the application level).
-
- Name: TimescaleDB Extension
- Type: Container
- Description: The TimescaleDB extension code loaded into PostgreSQL.
- Responsibilities: Providing time-series specific functions, managing hypertables and chunks.
- Security controls: Inherits PostgreSQL security controls, input validation for custom functions.
-
- Name: PostgreSQL Server
- Type: Container
- Description: The core PostgreSQL server process.
- Responsibilities: Handling connections, processing queries, managing data storage.
- Security controls: Authentication, authorization, data encryption, auditing, RLS.
-
- Name: Write-Ahead Log (WAL)
- Type: Container
- Description: PostgreSQL's WAL for ensuring data durability.
- Responsibilities: Recording all database changes before they are written to disk.
- Security controls: Access controls (managed by PostgreSQL).
-
- Name: Disk Storage
- Type: Container
- Description: The physical storage where data is stored.
- Responsibilities: Storing data persistently.
- Security controls: Data encryption at rest (if enabled), access controls (managed by the operating system and PostgreSQL).
-
- Name: Monitoring Tools
- Type: System
- Description: External tools used to monitor TimescaleDB performance and health.
- Responsibilities: Collecting metrics, generating alerts.
- Security controls: Secure communication channels (e.g., TLS), authentication.
-
- Name: Backup System
- Type: System
- Description: System used for backing up TimescaleDB data.
- Responsibilities: Creating and storing backups, restoring data in case of failure.
- Security controls: Data encryption, access controls, secure storage.
TimescaleDB can be deployed in various ways:
- Self-hosted: Installed directly on a user's own infrastructure (physical servers, VMs).
- Cloud (Self-Managed): Installed on cloud VMs (e.g., AWS EC2, Azure VMs, GCP Compute Engine).
- Timescale Cloud: Fully managed service provided by Timescale.
- Cloud (Marketplace): Pre-configured images available on cloud marketplaces (e.g., AWS Marketplace).
We'll describe the Cloud (Self-Managed) deployment on AWS EC2 as an example:
graph LR
subgraph "AWS Cloud"
subgraph "VPC"
subgraph "Public Subnet"
LoadBalancer[("Load Balancer")]
end
subgraph "Private Subnet"
EC2Instance[("EC2 Instance")]
EBSVolume[("EBS Volume")]
end
end
SecurityGroup[("Security Group")]
IAMRole[("IAM Role")]
end
User[("User/Application")]
User -- "HTTPS" --> LoadBalancer
LoadBalancer -- "TCP (5432)" --> EC2Instance
EC2Instance -- "Uses" --> EBSVolume
EC2Instance -- "Assumes" --> IAMRole
SecurityGroup -- "Controls access to" --> EC2Instance
Element Descriptions:
-
- Name: User/Application
- Type: User
- Description: Represents a user or application connecting to TimescaleDB.
- Responsibilities: Sending queries, inserting data.
- Security controls: Authentication, authorization (at the application and database level).
-
- Name: Load Balancer
- Type: Node
- Description: AWS Application Load Balancer (ALB) or Network Load Balancer (NLB).
- Responsibilities: Distributing traffic across multiple EC2 instances (if used for high availability).
- Security controls: SSL/TLS termination, access controls (security groups).
-
- Name: EC2 Instance
- Type: Node
- Description: An AWS EC2 instance running PostgreSQL and TimescaleDB.
- Responsibilities: Hosting the database server.
- Security controls: Security groups, IAM roles, SSH key-based access, OS-level security hardening.
-
- Name: EBS Volume
- Type: Node
- Description: An AWS Elastic Block Storage (EBS) volume used for data storage.
- Responsibilities: Providing persistent storage for the database.
- Security controls: Encryption at rest (using AWS KMS), snapshots.
-
- Name: Security Group
- Type: Node
- Description: An AWS security group acting as a virtual firewall.
- Responsibilities: Controlling inbound and outbound traffic to the EC2 instance.
- Security controls: Restricting access to specific ports (e.g., 5432) and IP addresses.
-
- Name: IAM Role
- Type: Node
- Description: An AWS IAM role assigned to the EC2 instance.
- Responsibilities: Providing permissions for the EC2 instance to access other AWS services (e.g., S3 for backups).
- Security controls: Least privilege principle, managed policies.
-
- Name: VPC
- Type: Node
- Description: Virtual Private Cloud.
- Responsibilities: Provides logically isolated section of the AWS Cloud.
- Security controls: Network access control lists.
-
- Name: Public Subnet
- Type: Node
- Description: Subnet with the route to internet.
- Responsibilities: Provides access to internet.
- Security controls: Network access control lists.
-
- Name: Private Subnet
- Type: Node
- Description: Subnet without the route to internet.
- Responsibilities: Provides isolation for resources.
- Security controls: Network access control lists.
TimescaleDB's build process involves multiple steps, from source code to packaged releases. Here's a simplified overview, focusing on security aspects:
graph LR
Developer[("Developer")] --> GitHub[("GitHub Repository")]
GitHub -- "Triggers" --> GitHubActions[("GitHub Actions")]
GitHubActions -- "Builds" --> BuildArtifacts[("Build Artifacts")]
BuildArtifacts -- "Published to" --> ReleaseServer[("Release Server")]
StaticAnalysis[("Static Analysis Tools")]
DependencyCheck[("Dependency Check")]
GitHubActions -- "Runs" --> StaticAnalysis
GitHubActions -- "Runs" --> DependencyCheck
Build Process Description:
- Developers commit code to the TimescaleDB GitHub repository.
- GitHub Actions (CI/CD) is triggered by commits or pull requests.
- The build process includes:
- Compiling the code (C, SQL).
- Running unit tests and integration tests.
- security control: Performing static analysis (e.g., using linters, code analyzers) to identify potential vulnerabilities.
- security control: Checking dependencies for known vulnerabilities (e.g., using tools like Dependabot).
- Packaging the code into various formats (e.g., DEB, RPM, tarballs).
- Build artifacts are created and stored.
- security control: Artifacts are signed to ensure authenticity and integrity.
- security control: Artifacts are published to a release server (e.g., GitHub Releases, package repositories).
Security Controls in the Build Process:
- security control: Code Reviews: All code changes undergo peer review before being merged.
- security control: Static Analysis: Automated tools scan the code for potential security issues.
- security control: Dependency Management: Tools track and manage dependencies, identifying and mitigating known vulnerabilities.
- security control: Build Automation: GitHub Actions ensures a consistent and reproducible build process.
- security control: Artifact Signing: Digital signatures verify the authenticity and integrity of released packages.
- security control: Limited Access: Access to build systems and release servers is restricted to authorized personnel.
-
Critical Business Processes:
- Data Ingestion: Ensuring continuous and reliable ingestion of time-series data.
- Data Querying: Providing fast and efficient access to data for analysis and reporting.
- Data Storage: Maintaining data integrity and availability.
- Database Administration: Managing the database, including backups, security, and performance tuning.
-
Data Sensitivity:
- The sensitivity of data stored in TimescaleDB depends on the specific use case. It can range from low (e.g., public sensor data) to high (e.g., financial transactions, personal health information).
- Common data types include:
- Timestamps: Representing points in time.
- Metrics: Numerical values associated with timestamps (e.g., temperature, CPU usage, stock prices).
- Tags/Labels: Metadata associated with metrics (e.g., device ID, location, customer ID).
- Configuration Data: Information about the database schema, users, and permissions.
-
Questions:
- What specific compliance requirements (e.g., GDPR, HIPAA, PCI DSS) apply to users of TimescaleDB? This will influence the necessary security controls.
- What are the expected data volumes and query loads? This will impact scalability and performance considerations.
- What are the specific threat models considered by TimescaleDB developers? This will help understand the rationale behind existing security measures.
- Are there any plans to implement more advanced security features, such as dynamic data masking or data loss prevention (DLP)?
- What is the process for handling security vulnerabilities reported by external researchers?
- What level of support is provided for different deployment models (self-hosted, cloud, managed service)?
- How is continuous security testing integrated into the development lifecycle?
-
Assumptions:
- Users are responsible for securing their own infrastructure and applications connecting to TimescaleDB.
- Users will follow best practices for database security, such as using strong passwords and configuring firewalls.
- TimescaleDB's reliance on PostgreSQL's security features means that PostgreSQL is properly configured and secured.
- The build process is secure and protected from unauthorized access.
- Regular security updates are applied promptly.
- Users are aware of the shared responsibility model for security, especially in cloud deployments.
- TimescaleDB's documentation provides sufficient guidance for secure configuration and usage.