Translation_app_ / SECURITY.md
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feat: Implement Multi-Lingual Product Catalog Translator frontend with Streamlit
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Security Policy

Supported Versions

We release patches for security vulnerabilities in the following versions:

Version Supported
1.0.x :white_check_mark:
< 1.0 :x:

Reporting a Vulnerability

The Multi-Lingual Product Catalog Translator team takes security seriously. We appreciate your efforts to responsibly disclose any security vulnerabilities you may find.

How to Report a Security Vulnerability

Please do not report security vulnerabilities through public GitHub issues.

Instead, please report them via one of the following methods:

  1. GitHub Security Advisories (Preferred)

    • Go to the repository's Security tab
    • Click "Report a vulnerability"
    • Fill out the security advisory form
  2. Email (Alternative)

    • Send details to the repository maintainer
    • Include the word "SECURITY" in the subject line
    • Provide detailed information about the vulnerability

What to Include in Your Report

To help us better understand and resolve the issue, please include:

  • Type of issue (e.g., injection, authentication bypass, etc.)
  • Full paths of source file(s) related to the vulnerability
  • Location of the affected source code (tag/branch/commit or direct URL)
  • Step-by-step instructions to reproduce the issue
  • Proof-of-concept or exploit code (if possible)
  • Impact of the issue, including how an attacker might exploit it

Response Timeline

  • We will acknowledge receipt of your vulnerability report within 48 hours
  • We will provide a detailed response within 7 days
  • We will work with you to understand and validate the vulnerability
  • We will release a fix as soon as possible, depending on complexity

Security Update Process

  1. Confirmation: We confirm the vulnerability and determine its severity
  2. Fix Development: We develop and test a fix for the vulnerability
  3. Release: We release the security update and notify users
  4. Disclosure: We coordinate public disclosure of the vulnerability

Security Considerations

Data Protection

  • Translation Data: User input is processed in memory and not permanently stored unless explicitly saved
  • Database: SQLite database stores translation history locally - no external data transmission
  • API Security: Input validation and sanitization to prevent injection attacks

Infrastructure Security

  • Dependencies: Regular updates to address known vulnerabilities
  • Environment Variables: Sensitive configuration stored in environment files (not committed)
  • CORS: Proper Cross-Origin Resource Sharing configuration
  • Input Validation: Comprehensive validation using Pydantic models

Deployment Security

  • Docker: Containerized deployment with minimal attack surface
  • Cloud Deployment: Secure configuration for cloud platforms
  • Network: Proper network configuration and access controls

Known Security Limitations

  • AI Model: Translation models are loaded locally - ensure sufficient system resources
  • File System: Local file storage - implement proper access controls in production
  • Rate Limiting: Not implemented by default - consider adding for production use

Security Best Practices for Users

Development Environment

  • Use virtual environments to isolate dependencies
  • Keep dependencies updated with pip install -U
  • Use environment variables for sensitive configuration
  • Never commit .env files with real credentials

Production Deployment

  • Use HTTPS in production environments
  • Implement proper authentication and authorization
  • Configure firewall rules to restrict access
  • Monitor logs for suspicious activity
  • Regular security updates and patches

API Usage

  • Validate all user inputs before processing
  • Implement rate limiting for public APIs
  • Use proper error handling to avoid information disclosure
  • Log security-relevant events for monitoring

Vulnerability Disclosure Policy

We follow responsible disclosure practices:

  1. Private Disclosure: Security issues are handled privately until a fix is available
  2. Coordinated Release: We coordinate the release of security fixes with disclosure
  3. Public Acknowledgment: We acknowledge security researchers who report vulnerabilities
  4. CVE Assignment: We work with CVE authorities for significant vulnerabilities

Security Contact

For security-related questions or concerns that are not vulnerabilities:

  • Check our documentation for security best practices
  • Create a GitHub issue with the security label
  • Join our community discussions for general security questions

Third-Party Security

This project uses several third-party dependencies:

AI/ML Components

  • IndicTrans2: AI4Bharat's translation models
  • PyTorch: Machine learning framework
  • Transformers: Hugging Face model library

Web Framework

  • FastAPI: Modern web framework with built-in security features
  • Streamlit: Interactive web app framework
  • Pydantic: Data validation and serialization

Database

  • SQLite: Lightweight database engine

We regularly monitor security advisories for these dependencies and update them as needed.

Compliance

This project aims to follow security best practices including:

  • OWASP Top 10: Protection against common web application vulnerabilities
  • Input Validation: Comprehensive validation of all user inputs
  • Error Handling: Secure error handling that doesn't leak sensitive information
  • Logging: Security event logging for monitoring and auditing

Thank you for helping keep the Multi-Lingual Product Catalog Translator secure! 🔒