- Business Priorities and Goals:
- Provide a flexible and performant templating language for rendering dynamic content.
- Enable developers to create and customize user interfaces and data presentations.
- Ensure reliability and stability of the templating engine to avoid service disruptions.
- Maintain security of the templating engine to prevent vulnerabilities like template injection.
- Business Risks:
- Template injection vulnerabilities leading to data breaches or service disruption.
- Performance bottlenecks in template rendering impacting user experience.
- Incompatibility issues with different data sources or rendering environments.
- Lack of maintainability and extensibility hindering future development.
- Existing Security Controls:
- security control: GitHub repository with access control (described in GitHub repository settings).
- security control: Code review process (assumed based on standard software development practices).
- security control: Issue tracking system for reporting and addressing bugs and vulnerabilities (described in GitHub issues).
- accepted risk: Reliance on community contributions for security vulnerability identification and patching.
- Recommended Security Controls:
- security control: Implement automated Static Application Security Testing (SAST) in the CI/CD pipeline to detect potential vulnerabilities in the code.
- security control: Implement automated Dependency Scanning to identify and manage vulnerable dependencies.
- security control: Conduct regular security code reviews focusing on template injection and other common web application vulnerabilities.
- security control: Establish a clear process for reporting and handling security vulnerabilities, including a security contact and vulnerability disclosure policy.
- security control: Implement fuzz testing to identify unexpected behavior and potential vulnerabilities in the template rendering engine.
- Security Requirements:
- Authentication:
- Liquid itself does not handle authentication. Authentication is assumed to be managed by the application embedding Liquid.
- Authorization:
- Liquid should provide mechanisms to restrict access to sensitive data and functionality within templates, based on the context provided by the embedding application.
- The embedding application is responsible for providing the correct context and ensuring proper authorization before rendering templates.
- Input Validation:
- Liquid must perform robust input validation on both template code and data provided to templates to prevent injection attacks.
- Implement context-aware output encoding to mitigate cross-site scripting (XSS) vulnerabilities when rendering user-provided data.
- Cryptography:
- If Liquid is used to handle sensitive data, ensure that any cryptographic operations are performed using secure and well-vetted libraries.
- Avoid storing sensitive data directly within templates if possible. Pass sensitive data as parameters and handle encryption/decryption outside of the template rendering process.
- Authentication:
flowchart LR
subgraph Shopify Cloud
center["Liquid"]
end
User[/"Shopify\nDevelopers"/]
Data[/"Data Sources\n(Products, Customers, etc.)"/]
App[/"Shopify Applications\n(Storefront, Admin, etc.)"/]
User -->|Writes & Updates Templates| Liquid
Data -->|Provides Data to Templates| Liquid
Liquid -->|Renders Dynamic Content| App
App -->|Uses Rendered Content| User
- C4 Context Elements:
-
- Name: Shopify Developers
- Type: Person
- Description: Shopify developers and potentially app developers who create and maintain Liquid templates.
- Responsibilities: Writing, updating, and maintaining Liquid templates to define the presentation of data.
- Security controls: Access control to template repositories, code review process for template changes.
-
- Name: Data Sources (Products, Customers, etc.)
- Type: System
- Description: Various Shopify systems and databases that provide data to be rendered by Liquid templates. Examples include product catalogs, customer databases, and configuration settings.
- Responsibilities: Providing structured data in a format that Liquid can process. Ensuring data integrity and availability.
- Security controls: Data access controls, data encryption at rest and in transit, data validation.
-
- Name: Liquid
- Type: Software System
- Description: The Liquid templating engine itself, responsible for parsing templates, processing data, and rendering dynamic content.
- Responsibilities: Securely and efficiently rendering templates, preventing injection vulnerabilities, and providing a flexible templating language.
- Security controls: Input validation, output encoding, secure coding practices, SAST/DAST, dependency scanning.
-
- Name: Shopify Applications (Storefront, Admin, etc.)
- Type: Software System
- Description: Shopify applications like the online storefront, admin panel, and other services that embed and utilize Liquid to render dynamic user interfaces.
- Responsibilities: Embedding Liquid, providing data context to templates, handling user requests, and displaying rendered content.
- Security controls: Authentication, authorization, input validation, secure session management, web application firewall (WAF).
-
flowchart LR
subgraph Shopify Cloud
subgraph Liquid Engine Container
LiquidCore[/"Liquid Core\n(Ruby, C++)"/]
LiquidParser[/"Template Parser\n(Ruby, C++)"/]
LiquidRenderer[/"Template Renderer\n(Ruby, C++)"/]
end
subgraph Embedding Application Container
TemplateCache[/"Template Cache\n(Memory, Redis)"/]
DataContext[/"Data Context Provider\n(Application Code)"/]
ContentDelivery[/"Content Delivery\n(Web Server)"/]
end
end
LiquidParser --> LiquidCore
LiquidRenderer --> LiquidCore
Embedding Application Container -->> Liquid Engine Container: Uses
DataContext -->> Liquid Engine Container: Provides Data
TemplateCache -->> Liquid Engine Container: Provides Templates
Liquid Engine Container -->> ContentDelivery: Renders Content
- C4 Container Elements:
-
- Name: Liquid Core (Ruby, C++)
- Type: Container - Library/Runtime
- Description: The core Liquid engine implemented in Ruby and potentially C++ for performance-critical parts. This includes the core logic for parsing, rendering, and executing template code.
- Responsibilities: Parsing template syntax, managing template execution context, providing core template language features, and ensuring performance.
- Security controls: Secure coding practices in Ruby and C++, input validation within the core engine, memory safety in C++ components.
-
- Name: Template Parser (Ruby, C++)
- Type: Container - Module
- Description: A module responsible for parsing Liquid template code into an Abstract Syntax Tree (AST) or an intermediate representation that can be processed by the renderer.
- Responsibilities: Validating template syntax, converting template code into a usable structure, and detecting syntax errors.
- Security controls: Input validation to prevent malicious template code from causing parser errors or vulnerabilities, protection against parser exploits.
-
- Name: Template Renderer (Ruby, C++)
- Type: Container - Module
- Description: A module that takes the parsed template representation and data context to generate the final output. This involves executing template logic, substituting data, and formatting the output.
- Responsibilities: Securely rendering templates, applying output encoding, handling data injection safely, and managing template execution flow.
- Security controls: Context-aware output encoding, input validation of data provided to templates, protection against template injection vulnerabilities.
-
- Name: Template Cache (Memory, Redis)
- Type: Container - Data Store
- Description: A caching mechanism to store compiled templates in memory or a distributed cache like Redis to improve performance by reducing template parsing and compilation overhead.
- Responsibilities: Efficiently storing and retrieving compiled templates, invalidating cache entries when templates are updated, and ensuring cache consistency.
- Security controls: Access control to the cache, secure configuration of the cache (e.g., Redis authentication), protection against cache poisoning attacks.
-
- Name: Data Context Provider (Application Code)
- Type: Container - Application Component
- Description: Application code within the embedding Shopify application that is responsible for fetching data from various sources and providing it to the Liquid engine as the data context for template rendering.
- Responsibilities: Fetching relevant data, structuring data in a format suitable for Liquid templates, and ensuring data is authorized for the current user/context.
- Security controls: Data access controls, data validation, secure data retrieval practices, authorization checks before providing data to templates.
-
- Name: Content Delivery (Web Server)
- Type: Container - Web Server
- Description: The web server or application server that hosts the Shopify application and delivers the rendered HTML content to users' browsers.
- Responsibilities: Serving rendered content, handling user requests, managing sessions, and providing overall web application functionality.
- Security controls: Web application firewall (WAF), TLS/HTTPS encryption, secure server configuration, input validation at the application level, output encoding.
-
flowchart LR
subgraph Shopify Cloud - Production Environment
subgraph Load Balancer
LB[/"Load Balancer"/]
end
subgraph Application Servers
AS1[/"Application Server 1\n(Containerized)"/]
AS2[/"Application Server 2\n(Containerized)"/]
ASn[/"Application Server N\n(Containerized)"/]
end
subgraph Cache Cluster
Cache1[/"Cache Server 1\n(Redis Cluster)"/]
Cache2[/"Cache Server 2\n(Redis Cluster)"/]
Cachen[/"Cache Server N\n(Redis Cluster)"/]
end
subgraph Database Cluster
DB1[/"Database Server 1\n(PostgreSQL Cluster)"/]
DB2[/"Database Server 2\n(PostgreSQL Cluster)"/]
DBn[/"Database Server N\n(PostgreSQL Cluster)"/]
end
end
UserBrowser[/"User Browser"/] --> LB
LB --> AS1
LB --> AS2
LB --> ASn
AS1 --> Cache1
AS1 --> DB1
AS2 --> Cache2
AS2 --> DB2
ASn --> Cachen
ASn --> DBn
AS1 & AS2 & ASn -->> Liquid Engine Container
- Deployment Elements:
-
- Name: Load Balancer
- Type: Infrastructure - Load Balancer
- Description: Distributes incoming user traffic across multiple application servers to ensure high availability and performance.
- Responsibilities: Traffic distribution, health checks of application servers, SSL termination, and protection against DDoS attacks.
- Security controls: DDoS protection, rate limiting, SSL/TLS encryption, access control lists (ACLs).
-
- Name: Application Servers (Containerized)
- Type: Infrastructure - Compute Instance (Containers)
- Description: Containerized application servers running the Shopify application and the embedded Liquid engine. These servers handle user requests, render templates, and interact with data stores.
- Responsibilities: Running application code, rendering Liquid templates, processing user requests, and interacting with cache and database clusters.
- Security controls: Container security (image scanning, vulnerability management), application-level firewalls, intrusion detection systems (IDS), secure container orchestration (e.g., Kubernetes).
-
- Name: Cache Cluster (Redis Cluster)
- Type: Infrastructure - Data Store (Cache)
- Description: A distributed Redis cluster used for caching compiled Liquid templates and potentially other application data to improve performance and reduce database load.
- Responsibilities: Caching template data, providing fast data retrieval, ensuring cache consistency and availability.
- Security controls: Redis authentication, access control lists (ACLs), encryption in transit and at rest (if sensitive data is cached), regular security patching.
-
- Name: Database Cluster (PostgreSQL Cluster)
- Type: Infrastructure - Data Store (Database)
- Description: A PostgreSQL database cluster storing persistent application data, including product information, customer data, and template definitions.
- Responsibilities: Persistent data storage, data integrity, data availability, and transactional consistency.
- Security controls: Database access controls, encryption at rest and in transit, database firewalls, regular backups, vulnerability management, and database activity monitoring.
-
- Name: User Browser
- Type: Person - Client Application
- Description: The web browser used by users to access the Shopify storefront or admin panel.
- Responsibilities: Rendering HTML content, executing JavaScript, and interacting with the Shopify application.
- Security controls: Browser security features (e.g., Content Security Policy, XSS protection), user awareness of phishing and malware threats.
-
flowchart LR
subgraph Developer Workstation
Dev[/"Developer"/]
CodeEditor[/"Code Editor\n(VS Code, etc.)"/]
end
subgraph Version Control System
VCS[/"GitHub\nRepository"/]
end
subgraph CI/CD Pipeline
BuildServer[/"CI Server\n(GitHub Actions)"/]
SASTScanner[/"SAST Scanner"/]
DependencyScanner[/"Dependency Scanner"/]
TestRunner[/"Test Runner"/]
ArtifactRepo[/"Artifact Repository\n(GitHub Packages)"/]
end
Dev --> CodeEditor
CodeEditor --> VCS: Commit & Push
VCS --> BuildServer: Trigger Build
BuildServer --> SASTScanner: Run SAST
BuildServer --> DependencyScanner: Scan Dependencies
BuildServer --> TestRunner: Run Tests
BuildServer --> ArtifactRepo: Publish Artifacts
ArtifactRepo --> Deployment Pipeline: Deploy
- Build Elements:
-
- Name: Developer
- Type: Person
- Description: Software developers who write and modify the Liquid engine code.
- Responsibilities: Writing secure and efficient code, performing local testing, and committing code changes to the version control system.
- Security controls: Secure coding training, code review participation, access control to development environments.
-
- Name: Code Editor (VS Code, etc.)
- Type: Tool - IDE
- Description: Integrated Development Environment used by developers for writing and editing code.
- Responsibilities: Providing code editing features, syntax highlighting, debugging tools, and integration with version control systems.
- Security controls: IDE security updates, secure plugins, and protection against malware on developer workstations.
-
- Name: GitHub Repository
- Type: Tool - Version Control System
- Description: GitHub repository hosting the Liquid source code and managing code changes through version control.
- Responsibilities: Source code management, version history tracking, collaboration, and access control.
- Security controls: Access control (branch protection, permissions), audit logging, and vulnerability scanning of the repository platform.
-
- Name: CI Server (GitHub Actions)
- Type: Tool - CI/CD System
- Description: Continuous Integration server (e.g., GitHub Actions) that automates the build, test, and deployment pipeline.
- Responsibilities: Automating build processes, running tests, performing security scans, and deploying artifacts.
- Security controls: Secure CI/CD pipeline configuration, access control to CI/CD system, secrets management, and audit logging.
-
- Name: SAST Scanner
- Type: Tool - Security Scanner
- Description: Static Application Security Testing (SAST) scanner integrated into the CI/CD pipeline to automatically analyze source code for potential vulnerabilities.
- Responsibilities: Identifying potential security vulnerabilities in the code, providing reports, and failing builds based on vulnerability severity.
- Security controls: Regularly updated vulnerability rules, accurate vulnerability detection, and integration with the CI/CD pipeline.
-
- Name: Dependency Scanner
- Type: Tool - Security Scanner
- Description: Dependency scanning tool to identify known vulnerabilities in third-party libraries and dependencies used by Liquid.
- Responsibilities: Identifying vulnerable dependencies, providing reports, and alerting developers to update or replace vulnerable components.
- Security controls: Regularly updated vulnerability databases, accurate dependency scanning, and integration with the CI/CD pipeline.
-
- Name: Test Runner
- Type: Tool - Testing Framework
- Description: Automated test runner that executes unit tests, integration tests, and potentially security tests to ensure code quality and functionality.
- Responsibilities: Running automated tests, providing test reports, and ensuring code meets quality standards.
- Security controls: Secure test environment, test data management, and integration with the CI/CD pipeline.
-
- Name: Artifact Repository (GitHub Packages)
- Type: Tool - Artifact Storage
- Description: Repository for storing build artifacts (e.g., compiled libraries, packages) produced by the CI/CD pipeline.
- Responsibilities: Securely storing build artifacts, managing artifact versions, and providing access to artifacts for deployment.
- Security controls: Access control to the artifact repository, artifact integrity checks (e.g., checksums), and vulnerability scanning of stored artifacts.
-
- Critical Business Processes:
- Rendering Shopify storefronts and admin panels.
- Processing and displaying product information, customer data, and other dynamic content.
- Ensuring the availability and performance of Shopify online stores.
- Data to Protect and Sensitivity:
- Template Code: Medium sensitivity. Compromise could lead to injection vulnerabilities.
- Product Data: High sensitivity. Confidentiality, integrity, and availability are important for business operations.
- Customer Data: High sensitivity. Confidentiality, integrity, and availability are critical for privacy and compliance (GDPR, CCPA, etc.).
- Business Logic within Templates: High sensitivity. Intellectual property and competitive advantage.
- Questions:
- What are the specific deployment environments for Liquid (e.g., cloud provider, container orchestration platform)?
- What types of data are typically processed by Liquid templates in Shopify applications?
- What is the process for managing and deploying Liquid templates within Shopify?
- Are there specific compliance requirements (e.g., PCI DSS, HIPAA) that Liquid needs to adhere to?
- What is the current security incident response plan for Liquid and related Shopify services?
- Assumptions:
- Liquid is primarily used within the Shopify ecosystem for rendering dynamic content in storefronts and admin panels.
- Shopify has a mature software development lifecycle and security practices in place.
- Liquid is deployed in a cloud environment, likely using containerization and orchestration technologies.
- Security is a high priority for Shopify, and they are actively working to mitigate potential vulnerabilities in their systems.
- The provided GitHub repository represents the core Liquid engine, and there might be Shopify-specific extensions or customizations not publicly available.