PostgreSQL Security Toolkit

A comprehensive security toolkit for PostgreSQL applications, featuring production-ready defense mechanisms against SQL injection attacks, secure client libraries, and security monitoring tools.

🛡️ Features

• Secure Client Library: Production-ready PostgreSQL client with comprehensive SQL injection protection
• Input Validation: Multi-layered validation against PostgreSQL-specific attack patterns
• Parameterized Queries: Safe database operations using proper parameterization
• Security Configuration: Hardened PostgreSQL configuration templates
• Monitoring Tools: Scripts for security auditing and threat detection
• Comprehensive Testing: Full test suite validating security measures

🚀 Quick Start

Prerequisites

• Python 3.8+
• PostgreSQL 12+
• pip3

Installation

1. Clone the repository:

git clone https://github.com/yourusername/postgresql-security-toolkit.git
cd postgresql-security-toolkit

2. Run the setup script:

chmod +x scripts/setup.sh
./scripts/setup.sh

3. Configure your environment:

cp .env.example .env
# Edit .env with your database settings

Basic Usage

from secure_postgresql_client import SecurePostgreSQLClient

# Initialize the secure client
client = SecurePostgreSQLClient({
    'host': 'localhost',
    'database': 'myapp',
    'user': 'app_user',
    'password': 'secure_password'
})

# Safe user search (prevents SQL injection)
users = client.safe_user_search('john_doe')

# Safe JSON search (prevents JSON injection)
products = client.safe_json_search({
    'category': 'electronics',
    'price_max': 1000
})

# Safe array search (prevents array injection)
tagged_products = client.safe_array_search(['laptop', 'portable'])

# Get security metrics
metrics = client.get_security_metrics()
print(f"Threats blocked: {metrics['threats_blocked']}")

📁 Repository Structure

postgresql-security-toolkit/
├── secure-client/
│   └── python/
│       └── secure_postgresql_client.py    # Main secure client library
├── database-config/
│   ├── postgresql.conf.template           # Hardened PostgreSQL config
│   └── pg_hba.conf.template              # Secure authentication config
├── tests/
│   └── test_secure_client.py             # Comprehensive test suite
├── scripts/
│   ├── setup.sh                          # Setup and installation script
│   └── security-audit.sh                 # Security audit script
├── docs/
│   ├── SECURITY_GUIDE.md                 # Detailed security guide
│   └── API_REFERENCE.md                  # API documentation
└── examples/
    └── vulnerable_vs_secure.py           # Before/after examples

🔒 Security Features

Input Validation

The toolkit provides multi-layered input validation:

• Pattern Detection: Identifies SQL injection patterns specific to PostgreSQL
• Type Validation: Enforces data type constraints (usernames, emails, UUIDs, etc.)
• Length Limits: Prevents buffer overflow and DoS attacks
• JSON Structure Validation: Whitelist-based validation for JSON inputs
• Array Validation: Size limits and content validation for arrays

Attack Prevention

Protects against various attack vectors:

• Traditional SQL injection (UNION, DROP, etc.)
• PostgreSQL-specific attacks (pg_read_file, pg_sleep, etc.)
• JSON injection attacks using PostgreSQL operators
• Array manipulation attacks
• Comment injection attempts
• Boolean-based blind injection
• Time-based attacks

Secure Query Patterns

• Parameterized Queries: All database operations use proper parameterization
• Whitelist Validation: Dynamic queries validated against allowed tables/columns
• Safe Error Handling: Prevents information disclosure through error messages
• Connection Security: Secure connection management with proper cleanup

🧪 Testing

Run the comprehensive test suite:

# Activate virtual environment
source venv/bin/activate

# Run all tests with coverage
python -m pytest tests/ -v --cov=secure-client/python/

# Run specific test categories
python -m pytest tests/test_secure_client.py::TestSecurePostgreSQLClient -v

📊 Security Monitoring

The toolkit includes built-in security metrics:

metrics = client.get_security_metrics()
print(f"""
Security Metrics:
- Queries executed: {metrics['queries_executed']}
- Validation failures: {metrics['validation_failures']}
- Threats blocked: {metrics['threats_blocked']}
- Threat block rate: {metrics['threat_block_rate']:.2f}%
""")

⚙️ Configuration

Database Configuration

Use the provided PostgreSQL configuration template:

# Copy template to your PostgreSQL config directory
cp database-config/postgresql.conf.template /etc/postgresql/13/main/postgresql.conf

# Review and customize settings
sudo nano /etc/postgresql/13/main/postgresql.conf

# Restart PostgreSQL
sudo systemctl restart postgresql

Authentication Configuration

Configure secure client authentication:

# Copy pg_hba template
cp database-config/pg_hba.conf.template /etc/postgresql/13/main/pg_hba.conf

# Customize IP addresses and authentication methods
sudo nano /etc/postgresql/13/main/pg_hba.conf

# Reload configuration
sudo systemctl reload postgresql

🔍 Security Audit

Run the security audit script to check your PostgreSQL installation:

./scripts/security-audit.sh

This script checks for:

• Weak authentication configurations
• Insecure connection settings
• Missing security patches
• Dangerous configuration options
• User privilege issues

📚 Documentation

• Security Guide - Comprehensive security best practices
• API Reference - Detailed API documentation
• Configuration Guide - Database configuration details

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

1. Fork the repository
2. Create a feature branch
3. Install development dependencies:

pip install -r requirements-dev.txt

4. Run tests before submitting:

python -m pytest tests/ -v
python -m flake8 secure-client/
python -m mypy secure-client/

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🚨 Security Reporting

If you discover a security vulnerability, please send an email to security@yourcompany.com. All security vulnerabilities will be promptly addressed.

🙏 Acknowledgments

• PostgreSQL Security Documentation
• OWASP SQL Injection Prevention Guidelines
• Python Security Best Practices
• Community feedback and contributions

📈 Roadmap

• Support for additional databases (MySQL, SQLite)
• Web application firewall integration
• Real-time threat detection dashboard
• Machine learning-based anomaly detection
• Integration with popular ORMs (SQLAlchemy, Django ORM)
• Kubernetes deployment templates
• Performance benchmarking tools

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⚠️ Important Security Notice: This toolkit provides defense-in-depth security measures, but security is an ongoing process. Always keep your PostgreSQL installation updated, follow security best practices, and regularly audit your systems.