- Business priorities and goals:
- Provide a lightweight and flexible web framework for Python developers.
- Enable rapid development of web applications and APIs.
- Maintain a simple and extensible core with a focus on microframework principles.
- Foster a vibrant and active community around the framework.
- Most important business risks:
- Security vulnerabilities in the framework could impact a large number of applications built with Flask.
- Lack of maintenance or slow security updates could lead to widespread security issues.
- Breaking changes in the framework could disrupt existing applications and developer workflows.
- Poor documentation or lack of community support could hinder adoption and developer productivity.
-
Existing security controls:
- security control: Code review process on GitHub for contributions (described in GitHub repository contribution guidelines).
- security control: Security advisories and vulnerability reporting process (described in Flask documentation and security policy).
- security control: Regular releases with bug fixes and security patches (visible in GitHub releases and changelog).
- security control: Usage of Werkzeug, a robust WSGI library, for handling HTTP requests and responses (implicit in Flask architecture).
- accepted risk: Reliance on developers to implement security best practices in their applications built with Flask.
- accepted risk: Vulnerabilities in dependencies used by Flask or applications built with Flask.
-
Recommended security controls:
- security control: Automated security scanning (SAST/DAST) of Flask codebase in CI/CD pipeline.
- security control: Dependency vulnerability scanning and management for Flask and its dependencies.
- security control: Security focused documentation and examples for developers using Flask.
- security control: Penetration testing or security audits of Flask framework on a regular basis.
-
Security requirements:
- Authentication:
- Applications built with Flask should be able to implement various authentication mechanisms (e.g., session-based, token-based, OAuth).
- Flask itself should not enforce any specific authentication method, providing flexibility to developers.
- Authorization:
- Applications built with Flask should be able to implement fine-grained authorization controls to manage access to resources.
- Flask should provide tools and patterns to facilitate authorization implementation.
- Input validation:
- Applications built with Flask must validate all user inputs to prevent injection attacks (e.g., SQL injection, XSS).
- Flask should provide guidance and mechanisms for input validation (e.g., request parsing, form handling).
- Cryptography:
- Applications built with Flask may need to use cryptography for various purposes (e.g., password hashing, data encryption, secure communication).
- Flask should integrate well with Python cryptography libraries and provide secure defaults where applicable (e.g., session management).
- Authentication:
flowchart LR
subgraph "Flask Project Context"
center_node("Flask Framework")
end
user_dev("Web Developers")
python_ecosystem("Python Ecosystem")
web_servers("Web Servers")
databases("Databases")
browsers("Web Browsers")
user_dev -- "Uses to build web applications" --> center_node
center_node -- "Leverages libraries from" --> python_ecosystem
center_node -- "Applications deployed on" --> web_servers
center_node -- "Applications interact with" --> databases
web_servers -- "Serves applications to" --> browsers
- Elements of context diagram:
-
- Name: Flask Framework
- Type: Software System
- Description: A microframework for Python based on Werkzeug, Jinja 2 and good intentions. It aims to keep the core simple but extensible.
- Responsibilities: Provides core functionalities for web application development, including routing, request handling, response generation, and template rendering.
- Security controls: Code review, security advisories, regular releases, dependency management.
-
- Name: Web Developers
- Type: Person
- Description: Software engineers who use Flask to build web applications and APIs.
- Responsibilities: Develop, deploy, and maintain web applications using Flask, implement security best practices in their applications.
- Security controls: Secure coding practices, input validation, authentication, authorization in applications they build.
-
- Name: Python Ecosystem
- Type: Software System
- Description: Collection of Python libraries, packages, and tools that Flask and Flask applications rely on (e.g., Werkzeug, Jinja2, cryptography libraries).
- Responsibilities: Provide reusable components and functionalities for Python development, including web development.
- Security controls: Dependency vulnerability scanning, secure package management (pip, virtual environments).
-
- Name: Web Servers
- Type: Software System
- Description: Servers like Nginx, Apache, or WSGI servers (e.g., Gunicorn, uWSGI) that host and serve Flask applications.
- Responsibilities: Handle HTTP requests, serve static files, manage application processes, and provide a runtime environment for Flask applications.
- Security controls: Server hardening, TLS/SSL configuration, access control, web application firewall (WAF).
-
- Name: Databases
- Type: Software System
- Description: Database systems (e.g., PostgreSQL, MySQL, SQLite) used by Flask applications to store and retrieve data.
- Responsibilities: Persist application data, provide data access and management capabilities.
- Security controls: Database access control, encryption at rest and in transit, input sanitization to prevent SQL injection.
-
- Name: Web Browsers
- Type: Software System
- Description: Clients used by end-users to access web applications built with Flask.
- Responsibilities: Render web pages, execute client-side scripts, interact with web applications.
- Security controls: Browser security features (e.g., Content Security Policy, Same-Origin Policy), user awareness of phishing and malicious websites.
-
flowchart LR
subgraph "Flask Application Container"
flask_lib("Flask Library")
werkzeug_lib("Werkzeug Library")
jinja2_lib("Jinja2 Library")
extensions("Flask Extensions")
end
web_server("Web Server (e.g., Gunicorn)")
python_runtime("Python Runtime")
web_server -- "Hosts" --> python_runtime
python_runtime -- "Runs" --> flask_lib
flask_lib -- "Uses" --> werkzeug_lib
flask_lib -- "Uses" --> jinja2_lib
flask_lib -- "Extends with" --> extensions
style flask_lib fill:#f9f,stroke:#333,stroke-width:2px
style werkzeug_lib fill:#ccf,stroke:#333,stroke-width:2px
style jinja2_lib fill:#ccf,stroke:#333,stroke-width:2px
style extensions fill:#ccf,stroke:#333,stroke-width:2px
- Elements of container diagram:
-
- Name: Flask Library
- Type: Library
- Description: The core Flask framework library, providing essential web framework functionalities.
- Responsibilities: Routing, request and response handling, application context management, extension loading.
- Security controls: Code review, security testing, input validation within framework components, secure session management.
-
- Name: Werkzeug Library
- Type: Library
- Description: A comprehensive WSGI web application library that Flask is built upon. Handles low-level details of HTTP and WSGI.
- Responsibilities: HTTP request parsing, response building, WSGI server integration, cookie handling, security utilities.
- Security controls: Security audits, input validation, protection against common web attacks (e.g., CSRF, XSS in utilities).
-
- Name: Jinja2 Library
- Type: Library
- Description: A modern and designer-friendly templating language for Python, used by Flask for rendering dynamic web pages.
- Responsibilities: Template rendering, template inheritance, escaping output to prevent XSS, template security sandboxing.
- Security controls: Auto-escaping of variables, template sandboxing (if enabled), security considerations in template design.
-
- Name: Flask Extensions
- Type: Library
- Description: Community-developed extensions that add functionalities to Flask, such as database integration, authentication, and API frameworks.
- Responsibilities: Extend Flask's capabilities, provide reusable components for common web development tasks.
- Security controls: Security depends on individual extensions; developers should choose and review extensions carefully.
-
- Name: Web Server (e.g., Gunicorn)
- Type: Application Server
- Description: A production-ready WSGI server used to host and serve Flask applications.
- Responsibilities: Process management, handling concurrent requests, serving static files, integrating with load balancers and reverse proxies.
- Security controls: Server hardening, process isolation, resource limits, TLS/SSL termination, security configurations.
-
- Name: Python Runtime
- Type: Runtime Environment
- Description: The Python interpreter and standard library required to run Flask and its applications.
- Responsibilities: Execute Python code, manage memory, provide core functionalities for Python programs.
- Security controls: Keeping Python runtime updated with security patches, secure Python installation and configuration.
-
Deployment Solution: Containerized Deployment on Cloud Platform (e.g., AWS ECS, Google Kubernetes Engine)
flowchart LR
subgraph "Cloud Platform (e.g., AWS)"
subgraph "Container Orchestration (e.g., ECS)"
load_balancer("Load Balancer")
container_instance_1("Container Instance 1")
container_instance_2("Container Instance 2")
container_registry("Container Registry")
end
database_service("Database Service (e.g., RDS)")
monitoring_service("Monitoring Service (e.g., CloudWatch)")
end
developer_pc("Developer PC")
developer_pc -- "Pushes Docker Image to" --> container_registry
load_balancer -- "Distributes traffic to" --> container_instance_1
load_balancer -- "Distributes traffic to" --> container_instance_2
container_instance_1 -- "Runs Flask Application Container" --> database_service
container_instance_2 -- "Runs Flask Application Container" --> database_service
container_instance_1 -- "Sends logs to" --> monitoring_service
container_instance_2 -- "Sends logs to" --> monitoring_service
- Elements of deployment diagram:
-
- Name: Developer PC
- Type: Development Environment
- Description: Developer's local machine used for writing code, building Docker images, and testing.
- Responsibilities: Code development, local testing, building and pushing container images.
- Security controls: Developer workstation security, code repository access control, secure development practices.
-
- Name: Container Registry
- Type: Registry Service
- Description: Service for storing and managing Docker container images (e.g., Docker Hub, AWS ECR, Google GCR).
- Responsibilities: Securely store and distribute container images, manage image versions and access control.
- Security controls: Access control, vulnerability scanning of container images, image signing and verification.
-
- Name: Load Balancer
- Type: Network Load Balancer
- Description: Distributes incoming traffic across multiple container instances running Flask applications.
- Responsibilities: Traffic distribution, health checks, SSL termination, high availability.
- Security controls: TLS/SSL configuration, DDoS protection, access control lists (ACLs), security groups.
-
- Name: Container Instance 1 & 2
- Type: Compute Instance (e.g., EC2, VMs)
- Description: Virtual machines or compute instances running container runtime (e.g., Docker, containerd) and hosting Flask application containers.
- Responsibilities: Run Flask application containers, execute application code, handle requests, interact with database and other services.
- Security controls: Instance hardening, security groups, container isolation, resource limits, runtime security (e.g., AppArmor, SELinux).
-
- Name: Database Service (e.g., RDS)
- Type: Managed Database Service
- Description: Managed database service provided by cloud platform, used by Flask applications for data persistence.
- Responsibilities: Data storage, data management, database operations, backups, high availability.
- Security controls: Database access control, encryption at rest and in transit, database monitoring, vulnerability management.
-
- Name: Monitoring Service (e.g., CloudWatch)
- Type: Monitoring Service
- Description: Cloud monitoring service used to collect logs, metrics, and monitor the health and performance of Flask applications and infrastructure.
- Responsibilities: Log aggregation, metrics collection, alerting, performance monitoring, security monitoring.
- Security controls: Access control to monitoring data, secure log storage, anomaly detection for security events.
-
flowchart LR
developer("Developer") --> code_commit("Code Commit (GitHub)")
code_commit --> github_actions("GitHub Actions CI")
github_actions --> build_stage("Build Stage")
build_stage --> test_stage("Test Stage")
test_stage --> security_scan_stage("Security Scan Stage (SAST, Dependency Check)")
security_scan_stage --> containerize_stage("Containerize Stage (Docker Build)")
containerize_stage --> container_registry("Container Registry (Push Image)")
subgraph "Build Stage"
dependency_install("Dependency Install (pip install)")
code_compile("Code Compilation (if needed)")
end
build_stage --> dependency_install
build_stage --> code_compile
subgraph "Test Stage"
unit_tests("Unit Tests")
integration_tests("Integration Tests")
end
test_stage --> unit_tests
test_stage --> integration_tests
subgraph "Security Scan Stage"
sast_scan("SAST Scan (e.g., Bandit)")
dependency_check("Dependency Vulnerability Check (e.g., pip-audit)")
end
security_scan_stage --> sast_scan
security_scan_stage --> dependency_check
- Elements of build diagram:
-
- Name: Developer
- Type: Person
- Description: Software developer writing and committing code changes.
- Responsibilities: Writing code, running local tests, committing code to repository.
- Security controls: Secure coding practices, code review, workstation security.
-
- Name: Code Commit (GitHub)
- Type: Version Control System
- Description: GitHub repository hosting Flask project code.
- Responsibilities: Version control, code collaboration, triggering CI/CD pipelines.
- Security controls: Access control, branch protection, commit signing, audit logs.
-
- Name: GitHub Actions CI
- Type: CI/CD Platform
- Description: GitHub's built-in CI/CD service used to automate build, test, and deployment processes.
- Responsibilities: Automated build, test, security scanning, and containerization of Flask applications.
- Security controls: Secure workflow definitions, secret management, access control, audit logs.
-
- Name: Build Stage
- Type: CI Stage
- Description: Stage in CI pipeline responsible for building the application.
- Responsibilities: Installing dependencies, compiling code (if necessary), preparing build artifacts.
- Security controls: Dependency vulnerability scanning during install, secure build environment, build artifact integrity checks.
-
- Name: Test Stage
- Type: CI Stage
- Description: Stage in CI pipeline responsible for running automated tests.
- Responsibilities: Running unit tests, integration tests, ensuring code quality and functionality.
- Security controls: Test environment isolation, secure test data management.
-
- Name: Security Scan Stage
- Type: CI Stage
- Description: Stage in CI pipeline responsible for performing security scans.
- Responsibilities: Static Application Security Testing (SAST), dependency vulnerability scanning, identifying potential security issues.
- Security controls: SAST tool configuration, dependency vulnerability database updates, fail-on-high-severity-findings policy.
-
- Name: Containerize Stage
- Type: CI Stage
- Description: Stage in CI pipeline responsible for building Docker container image.
- Responsibilities: Building Docker image, tagging image, pushing image to container registry.
- Security controls: Base image selection, minimal image layers, vulnerability scanning of base images, image signing.
-
- Name: Container Registry
- Type: Registry Service
- Description: Service for storing and managing Docker container images.
- Responsibilities: Securely store and distribute container images.
- Security controls: Access control, vulnerability scanning, image signing.
-
- Critical business processes:
- Development and maintenance of the Flask framework itself.
- Usage of Flask framework by developers to build and deploy web applications.
- Community contributions and ecosystem growth around Flask.
- Data we are trying to protect and their sensitivity:
- Flask framework source code: High sensitivity - Integrity and availability are crucial to maintain trust and prevent malicious modifications. Confidentiality is less critical as it is open source.
- Flask framework releases and packages: High sensitivity - Integrity is paramount to ensure users download and use genuine, untampered versions. Availability is also important for continuous usage.
- Flask documentation and website: Medium sensitivity - Integrity and availability are important to provide accurate and reliable information to users.
- User data in applications built with Flask: Sensitivity depends on the application. Flask itself does not handle user data, but applications built with it often do. Security of user data is the responsibility of application developers.
-
Questions:
- What is the target audience for this design document? Is it for Flask core developers, security auditors, or application developers using Flask?
- What is the expected level of detail for threat modeling? Should it cover specific attack vectors and mitigation strategies?
- Are there any specific compliance requirements or security standards that Flask project needs to adhere to?
- What is the process for handling security vulnerabilities reported in Flask? Is there a public security policy or disclosure process?
-
Assumptions:
- BUSINESS POSTURE: The primary goal of Flask is to be a secure, reliable, and easy-to-use web framework for Python developers. Security is a high priority for the project.
- SECURITY POSTURE: Flask project follows secure development practices, including code review and vulnerability management. Security is primarily the responsibility of application developers using Flask.
- DESIGN: Flask is designed as a microframework with a modular architecture, relying on external libraries for many functionalities. Deployment is typically containerized or on cloud platforms. Build process is automated using CI/CD pipelines.