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Security: AliSerwat/Refactored-DuoFormer

Security

SECURITY.md

Security Policy

πŸ”’ Security Overview

The Refactored DuoFormer project takes security seriously. This document outlines our security practices and how to report security vulnerabilities.

πŸ“‹ Supported Versions

We provide security updates for the following versions:

Version Supported
1.0.x βœ… Yes
< 1.0 ❌ No

🚨 Reporting a Vulnerability

If you discover a security vulnerability, please follow these steps:

1. DO NOT Create a Public Issue

  • Do not report security vulnerabilities through public GitHub issues
  • Do not discuss the vulnerability in public forums or social media

2. Report Privately

Send an email to: security@duoformer-project.com (or create a private security advisory)

Include the following information:

  • Description of the vulnerability
  • Steps to reproduce the issue
  • Potential impact assessment
  • Any suggested fixes (if available)

3. Response Timeline

  • Initial Response: Within 48 hours
  • Status Update: Within 7 days
  • Resolution Timeline: Varies based on complexity, typically 30-90 days

πŸ›‘οΈ Security Measures

Code Security

  • Static Analysis: Automated security scanning with bandit
  • Dependency Scanning: Regular updates and vulnerability checks
  • Code Review: All changes reviewed for security implications
  • Type Safety: Comprehensive type checking with mypy

Input Validation

  • Data Validation: All user inputs validated and sanitized
  • Configuration Validation: Comprehensive config parameter checking
  • File Path Validation: Secure file handling with path traversal protection
  • Model Input Validation: Medical image input validation and preprocessing

Dependencies

  • Pinned Versions: All dependencies pinned to specific versions
  • Regular Updates: Dependencies updated regularly for security patches
  • Minimal Dependencies: Only necessary dependencies included
  • Trusted Sources: Dependencies sourced from official repositories

Container Security

  • Base Images: Official, minimal base images used
  • Layer Scanning: Docker images scanned for vulnerabilities
  • Non-Root User: Containers run as non-root user when possible
  • Secrets Management: No hardcoded secrets in containers

πŸ” Security Best Practices for Users

Installation Security

# Always verify package integrity
pip install --require-hashes -r requirements.txt

# Use virtual environments
python -m venv duoformer-env
source duoformer-env/bin/activate  # Linux/Mac
# or
duoformer-env\Scripts\activate     # Windows

Data Security

  • Medical Data: Ensure compliance with HIPAA/GDPR when handling medical images
  • Data Encryption: Encrypt sensitive data at rest and in transit
  • Access Control: Implement proper access controls for medical datasets
  • Audit Logging: Enable comprehensive logging for audit trails

Model Security

  • Model Validation: Validate model checkpoints before loading
  • Secure Storage: Store trained models securely with appropriate access controls
  • Version Control: Track model versions and changes
  • Inference Security: Validate inputs during model inference

Cloud Deployment Security

# Use secure configurations
export JUPYTER_TOKEN="your-secure-token-here"
export JUPYTER_PASSWORD_HASH="your-hashed-password"

# Enable HTTPS
jupyter lab --certfile=mycert.pem --keyfile=mykey.key

🚫 Known Security Considerations

Medical Data Handling

  • PHI Protection: Ensure Protected Health Information is properly anonymized
  • Compliance: Follow relevant medical data regulations (HIPAA, GDPR, etc.)
  • Data Minimization: Only process necessary medical data
  • Secure Deletion: Implement secure data deletion procedures

Model Training

  • Data Poisoning: Be aware of potential data poisoning attacks
  • Model Inversion: Consider model inversion attack risks
  • Adversarial Examples: Implement defenses against adversarial inputs
  • Model Extraction: Protect against model extraction attempts

Deployment

  • Network Security: Use secure network configurations
  • Authentication: Implement strong authentication mechanisms
  • Authorization: Proper role-based access control
  • Monitoring: Continuous security monitoring and alerting

πŸ” Security Scanning

We use the following tools for security scanning:

  • Bandit: Python AST security scanner
  • Safety: Python dependency vulnerability scanner
  • Docker Scout: Container vulnerability scanning
  • CodeQL: Semantic code analysis

πŸ“š Security Resources

πŸ† Security Hall of Fame

We recognize security researchers who help improve our security:

  • Your name could be here!

πŸ“ž Contact

For security-related questions or concerns:


Last Updated: October 15, 2025 Security Policy Version: 1.0.0

There aren't any published security advisories