CVAudioStudio takes security seriously and implements several measures to protect user data and API credentials. This document outlines our security practices and how to report vulnerabilities.
- Environment Variables Only: All sensitive credentials (API keys) are stored exclusively in environment variables
- No Hardcoded Secrets: No API keys, passwords, or secrets are hardcoded in the application
.gitignoreProtection: The.envfile is included in.gitignoreto prevent accidental commits- Template Files:
.env.exampleprovides a template without exposing actual credentials
- OpenAI API keys are loaded using
python-dotenv - Keys are never logged or displayed in error messages
- API keys are used only for making authorized requests to OpenAI services
- No credentials are stored in application logs or generated files
- Filename Sanitization: Custom filenames are sanitized to prevent path traversal attacks
- Parameter Validation: All user inputs (voice, model, speed, format) are validated against allowed values
- Length Limits: Text input is limited to 5000 characters to prevent abuse
- Type Checking: All inputs are type-checked before processing
- Detailed error messages are disabled in production (
showErrorDetails = false) - Sensitive information is never exposed in error messages
- Errors are logged locally without exposing credentials
- All dependencies are listed in
requirements.txt - Regular updates are recommended to patch security vulnerabilities
- Use
pip-auditto check for known vulnerabilities:pip install pip-audit pip-audit
-
Never Commit
.envFile# Verify .env is in .gitignore git check-ignore -v .env -
Use Separate API Keys
- Use different API keys for development and production
- Create API keys with appropriate permissions only
- Rotate keys periodically
-
Check for Secrets Before Committing
# Search for potential secrets git grep -i "sk-" . git grep -i "api_key" . git grep -i "password" .
-
Review Git History
# Check if .env was ever committed git log --all -- .env
-
Streamlit Cloud
- Add API keys in "Secrets" section of deployment settings
- Never hardcode keys in the application
- Use environment variables in production
-
Docker Deployment
- Use Docker secrets or environment files
- Never include
.envin Docker images - Use read-only mounts for environment files
-
Monitor API Usage
- Regularly check usage at https://platform.openai.com/usage
- Set up usage alerts if available
- Review API logs for suspicious activity
Before deploying or sharing your application:
-
.envfile is in.gitignore -
.envis not tracked by git (git status) - No API keys in git history
-
.env.exampleexists without real credentials - Dependencies are up-to-date (
pip-auditpasses) - Error details are disabled in production
- Input validation is implemented
- API usage is being monitored
If you discover a security vulnerability, please report it responsibly.
- Do NOT create a public issue
- Send an email to: your.email@example.com
- Include in your report:
- Description of the vulnerability
- Steps to reproduce
- Potential impact
- Suggested fix (if known)
- Initial Response: Within 48 hours
- Investigation: Within 7 days
- Resolution: As soon as possible, based on severity
- Confirmation of receipt within 48 hours
- Regular updates on the investigation status
- Credit in the release notes (if desired)
- Coordination on disclosure timeline
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Environment variable usage for credentials
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Input validation and sanitization
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Error message filtering in production
β
Path traversal prevention
β
Parameter validation
β
Dependency tracking in requirements.txt
β
.gitignore protection for sensitive files
π Rate limiting for API calls
π Request signing verification
π Audit logging for sensitive operations
π Webhook security validation
π HTTPS enforcement
- OpenAI API Security Best Practices
- OWASP Python Security
- Python dotenv Documentation
- Streamlit Security
For security-related questions or concerns:
- Email: your.email@example.com
- GitHub Issues: Use "Security" label (for non-sensitive issues only)
Last Updated: 2026-04-02
Version: 1.0.0