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About Developer

Khamisi Kibet

Khamisi Kibet

Software Developer

I am a computer scientist, software developer, and YouTuber, as well as the developer of this website, spinncode.com. I create content to help others learn and grow in the field of software development.

If you enjoy my work, please consider supporting me on platforms like Patreon or subscribing to my YouTube channel. I am also open to job opportunities and collaborations in software development. Let's build something amazing together!

  • Email

    infor@spinncode.com
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    Nairobi, Kenya
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7 Months ago | 49 views

**Course Title:** Mastering Flask Framework: Building Modern Web Applications **Section Title:** User Authentication and Authorization **Topic:** Best practices for password hashing and storage **Best Practices for Password Hashing and Storage** ===================================================== Password security is a critical aspect of any web application, and it's essential to handle user passwords securely to protect their sensitive information. In this topic, we'll cover the best practices for password hashing and storage. **Why is Password Security Important?** -------------------------------------- Password security is crucial because it prevents unauthorized access to user accounts. Weak passwords or improperly stored passwords can lead to security breaches, compromising sensitive user data. According to the [OWASP Password Storage Cheat Sheet](https://cheatsheetseries.owasp.org/cheatsheets/Password_Storage_Cheat_Sheet.html), a robust password storage mechanism should provide: * Confidentiality: Protect passwords from unauthorized access. * Integrity: Ensure passwords are not tampered with or modified. * Authenticity: Verify the user's identity through their password. **Password Hashing** ------------------- Password hashing is the process of transforming a user's password into a fixed-length string of characters, known as a hash value. This hash value is stored in the database instead of the original password. When the user attempts to login, the input password is hashed and compared to the stored hash value. **Password Hashing Algorithms** ----------------------------- There are several password hashing algorithms, each with its strengths and weaknesses. Some popular algorithms include: * **Bcrypt**: A slow and computationally expensive algorithm, which is ideal for password hashing. * **PBKDF2**: A widely used algorithm, which is often used in conjunction with a salt value. * **Argon2**: A more recent algorithm, which is designed to be highly resistant to GPU-based attacks. **Choosing the Right Algorithm** --------------------------------- When choosing a password hashing algorithm, consider the following factors: * **Security**: Choose an algorithm that is widely accepted and reviewed by the cryptographic community. * **Speed**: A slower algorithm is generally more secure, but it may impact user experience. * **Compatibility**: Ensure the algorithm is compatible with your application's requirements. **Example: Implementing Bcrypt with Flask** ------------------------------------------ Flask provides a built-in support for Bcrypt through the `Flask-Bcrypt` extension. Here's an example of how to implement Bcrypt with Flask: ```python from flask_bcrypt import Bcrypt # Initialize the Bcrypt extension bcrypt = Bcrypt(app) # Hash a password hashed_password = bcrypt.generate_password_hash('my_secret_password') # Verify a password if bcrypt.check_password_hash(hashed_password, 'my_secret_password'): print("Password is correct") ``` **Salt Values and Hash Rounds** ------------------------------- A salt value is a random string of characters added to the password before hashing. This helps prevent rainbow table attacks and increases the security of the password. Hash rounds, also known as the work factor, determine the computational cost of hashing a password. Increasing the hash rounds slows down the hashing process, making it more resistant to brute-force attacks. **Best Practices for Password Storage** -------------------------------------- When storing passwords, consider the following best practices: * **Store only the hash value**: Never store the original password. * **Use a secure password hashing algorithm**: Choose a widely accepted and reviewed algorithm. * **Use a salt value**: Add a random string of characters to the password before hashing. * **Use sufficient hash rounds**: Increase the computational cost of hashing to prevent brute-force attacks. **Conclusion** ---------- In this topic, we've covered the best practices for password hashing and storage. By following these guidelines, you can ensure that your application handles user passwords securely and protects sensitive user data. **What's Next?** -------------- In the next topic, we'll cover **Introduction to RESTful principles and API design**, where we'll explore the fundamentals of building RESTful APIs with Flask. **Leave a Comment or Ask for Help** ------------------------------------ If you have any questions or need further clarification on password hashing and storage, please leave a comment below. We'll be happy to help. **Additional Resources** ------------------------- * [OWASP Password Storage Cheat Sheet](https://cheatsheetseries.owasp.org/cheatsheets/Password_Storage_Cheat_Sheet.html) * [Flask-Bcrypt documentation](https://flask-bcrypt.readthedocs.io/en/latest/) * [Bcrypt documentation](https://pypi.org/project/flask-bcrypt/)
Course

Best Practices for Password Hashing and Storage

**Course Title:** Mastering Flask Framework: Building Modern Web Applications **Section Title:** User Authentication and Authorization **Topic:** Best practices for password hashing and storage **Best Practices for Password Hashing and Storage** ===================================================== Password security is a critical aspect of any web application, and it's essential to handle user passwords securely to protect their sensitive information. In this topic, we'll cover the best practices for password hashing and storage. **Why is Password Security Important?** -------------------------------------- Password security is crucial because it prevents unauthorized access to user accounts. Weak passwords or improperly stored passwords can lead to security breaches, compromising sensitive user data. According to the [OWASP Password Storage Cheat Sheet](https://cheatsheetseries.owasp.org/cheatsheets/Password_Storage_Cheat_Sheet.html), a robust password storage mechanism should provide: * Confidentiality: Protect passwords from unauthorized access. * Integrity: Ensure passwords are not tampered with or modified. * Authenticity: Verify the user's identity through their password. **Password Hashing** ------------------- Password hashing is the process of transforming a user's password into a fixed-length string of characters, known as a hash value. This hash value is stored in the database instead of the original password. When the user attempts to login, the input password is hashed and compared to the stored hash value. **Password Hashing Algorithms** ----------------------------- There are several password hashing algorithms, each with its strengths and weaknesses. Some popular algorithms include: * **Bcrypt**: A slow and computationally expensive algorithm, which is ideal for password hashing. * **PBKDF2**: A widely used algorithm, which is often used in conjunction with a salt value. * **Argon2**: A more recent algorithm, which is designed to be highly resistant to GPU-based attacks. **Choosing the Right Algorithm** --------------------------------- When choosing a password hashing algorithm, consider the following factors: * **Security**: Choose an algorithm that is widely accepted and reviewed by the cryptographic community. * **Speed**: A slower algorithm is generally more secure, but it may impact user experience. * **Compatibility**: Ensure the algorithm is compatible with your application's requirements. **Example: Implementing Bcrypt with Flask** ------------------------------------------ Flask provides a built-in support for Bcrypt through the `Flask-Bcrypt` extension. Here's an example of how to implement Bcrypt with Flask: ```python from flask_bcrypt import Bcrypt # Initialize the Bcrypt extension bcrypt = Bcrypt(app) # Hash a password hashed_password = bcrypt.generate_password_hash('my_secret_password') # Verify a password if bcrypt.check_password_hash(hashed_password, 'my_secret_password'): print("Password is correct") ``` **Salt Values and Hash Rounds** ------------------------------- A salt value is a random string of characters added to the password before hashing. This helps prevent rainbow table attacks and increases the security of the password. Hash rounds, also known as the work factor, determine the computational cost of hashing a password. Increasing the hash rounds slows down the hashing process, making it more resistant to brute-force attacks. **Best Practices for Password Storage** -------------------------------------- When storing passwords, consider the following best practices: * **Store only the hash value**: Never store the original password. * **Use a secure password hashing algorithm**: Choose a widely accepted and reviewed algorithm. * **Use a salt value**: Add a random string of characters to the password before hashing. * **Use sufficient hash rounds**: Increase the computational cost of hashing to prevent brute-force attacks. **Conclusion** ---------- In this topic, we've covered the best practices for password hashing and storage. By following these guidelines, you can ensure that your application handles user passwords securely and protects sensitive user data. **What's Next?** -------------- In the next topic, we'll cover **Introduction to RESTful principles and API design**, where we'll explore the fundamentals of building RESTful APIs with Flask. **Leave a Comment or Ask for Help** ------------------------------------ If you have any questions or need further clarification on password hashing and storage, please leave a comment below. We'll be happy to help. **Additional Resources** ------------------------- * [OWASP Password Storage Cheat Sheet](https://cheatsheetseries.owasp.org/cheatsheets/Password_Storage_Cheat_Sheet.html) * [Flask-Bcrypt documentation](https://flask-bcrypt.readthedocs.io/en/latest/) * [Bcrypt documentation](https://pypi.org/project/flask-bcrypt/)

Images

Mastering Flask Framework: Building Modern Web Applications

Course

Objectives

  • Understand the Flask framework and its ecosystem.
  • Build modern web applications using Flask's lightweight structure.
  • Master database operations with SQLAlchemy.
  • Develop RESTful APIs using Flask for web and mobile applications.
  • Implement best practices for security, testing, and version control in Flask projects.
  • Deploy Flask applications to cloud platforms (AWS, Heroku, etc.).
  • Utilize modern tools like Docker, Git, and CI/CD pipelines in Flask development.

Introduction to Flask and Development Environment

  • Overview of Flask and its ecosystem.
  • Setting up a Flask development environment (Python, pip, virtualenv).
  • Understanding Flask’s application structure and configuration.
  • Creating your first Flask application.
  • Lab: Set up a Flask environment and create a basic web application with routing and templates.

Routing, Views, and Templates

  • Defining routes and URL building in Flask.
  • Creating views and rendering templates with Jinja2.
  • Passing data between routes and templates.
  • Static files and assets management in Flask.
  • Lab: Build a multi-page Flask application with dynamic content using Jinja2 templating.

Working with Databases: SQLAlchemy

  • Introduction to SQLAlchemy and database management.
  • Creating and migrating databases using Flask-Migrate.
  • Understanding relationships and querying with SQLAlchemy.
  • Handling sessions and database transactions.
  • Lab: Set up a database for a Flask application, perform CRUD operations using SQLAlchemy.

User Authentication and Authorization

  • Implementing user registration, login, and logout.
  • Understanding sessions and cookies for user state management.
  • Role-based access control and securing routes.
  • Best practices for password hashing and storage.
  • Lab: Create a user authentication system with registration, login, and role-based access control.

RESTful API Development with Flask

  • Introduction to RESTful principles and API design.
  • Building APIs with Flask-RESTful.
  • Handling requests and responses (JSON, XML).
  • API authentication with token-based systems.
  • Lab: Develop a RESTful API for a simple resource management application with authentication.

Forms and User Input Handling

  • Creating and validating forms with Flask-WTF.
  • Handling user input securely.
  • Implementing CSRF protection.
  • Storing user-generated content in databases.
  • Lab: Build a web form to collect user input, validate it, and store it in a database.

Testing and Debugging Flask Applications

  • Understanding the importance of testing in web development.
  • Introduction to Flask's testing tools (unittest, pytest).
  • Writing tests for views, models, and APIs.
  • Debugging techniques and using Flask Debug Toolbar.
  • Lab: Write unit tests for various components of a Flask application and debug using built-in tools.

File Uploads and Cloud Storage Integration

  • Handling file uploads in Flask.
  • Validating and processing uploaded files.
  • Integrating with cloud storage solutions (AWS S3, Google Cloud Storage).
  • Best practices for file storage and retrieval.
  • Lab: Implement a file upload feature that stores files in cloud storage (e.g., AWS S3).

Asynchronous Programming and Background Tasks

  • Introduction to asynchronous programming in Flask.
  • Using Celery for background task management.
  • Setting up message brokers (RabbitMQ, Redis).
  • Implementing real-time features with WebSockets and Flask-SocketIO.
  • Lab: Create a background task using Celery to send notifications or process data asynchronously.

Deployment Strategies and CI/CD

  • Understanding deployment options for Flask applications.
  • Deploying Flask apps to cloud platforms (Heroku, AWS, DigitalOcean).
  • Setting up continuous integration and continuous deployment pipelines.
  • Using Docker for containerization of Flask applications.
  • Lab: Deploy a Flask application to a cloud platform and set up a CI/CD pipeline with GitHub Actions.

Real-Time Applications and WebSockets

  • Understanding real-time web applications.
  • Using Flask-SocketIO for real-time communication.
  • Building chat applications or notifications systems.
  • Best practices for managing WebSocket connections.
  • Lab: Develop a real-time chat application using Flask-SocketIO.

Final Project and Advanced Topics

  • Reviewing advanced topics: performance optimization, caching strategies.
  • Scalability considerations in Flask applications.
  • Best practices for code organization and architecture.
  • Final project presentations and feedback session.
  • Lab: Start working on the final project that integrates all learned concepts into a comprehensive Flask application.

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