Python Security Best Practices
Table of Contents
- Understanding Python's Security Landscape
- Input Validation and Sanitization
- Preventing Injection Attacks
- Authentication and Session Management
- Secure Error Handling and Logging
- The JavaScript Security Landscape
- DOM-Based XSS Vulnerabilities
- Prototype Pollution Attacks
- Insecure Data Storage in Browser
- Injection Attacks in JavaScript
- Establishing Security-First Development Principles
- Input Validation and Data Sanitization Standards
- Secure Authentication and Authorization Standards
- A01:2021 - Broken Access Control
- A02:2021 - Cryptographic Failures
- Understanding Authentication vs Authorization
- Secure Password Handling
- Token-Based Authentication
- Understanding Data Classification and Sensitivity
- Encryption at Rest Implementation
- API Security Fundamentals
- Implementing Secure Authentication
- Understanding Supply Chain Risks
- Secure Dependency Management Practices
- Security Implications of Error Handling
- Implementing Secure Error Handling
- The Security Testing Landscape
- Implementing Static Code Analysis
- Building a Security-First Culture
- Secure Development Environment Setup
- Supported Versions
- Reporting a Vulnerability
- Response Timeline
- Security Practices
- Code Review Requirements
- Dependency Management
- Secret Management
- Security Testing
- Before Committing
- Code Review Security Focus
- Before Release
- Supported Versions
- Reporting a Vulnerability
- Response Process
- Security Best Practices
- Development
- Code Review
- Testing
- Security Tools
- Required Tools
- CI/CD Integration
- Incident Response
- Severity Levels
- Response Team
- Communication
- Security First
- Before You Submit
- Security Checklist
- Pull Request Process
- Security Review
- Secure User Registration and Authentication System