Currently, only the latest version (1.0.0) is supported with security updates.

If you discover a security vulnerability in this project, please report it responsibly.

1. Do not create a public GitHub issue
2. Send an email to: security@yourdomain.com
3. Include:
   • Description of the vulnerability
   • Steps to reproduce
   • Potential impact
   • Suggested fix (if known)

• We will acknowledge receipt within 48 hours
• We will provide a detailed response within 7 days
• We will work with you to understand and fix the issue
• We will coordinate disclosure with you

When reporting vulnerabilities:

• Provide sufficient detail for us to reproduce the issue
• Don't exploit the vulnerability on production systems
• Don't disclose the vulnerability publicly before we fix it
• Keep communication about the vulnerability private

1. Path Isolation

   • Code library path removed from sys.path
   • Prevents accidental imports from code library
   • Reduces risk of code injection

2. Binary Mode File Reading

   • Files read in binary mode
   • Prevents Python from compiling library files
   • Reduces risk of malicious code execution

3. Bytecode Disabled

   • PYTHONDONTWRITEBYTECODE environment variable set
   • Prevents creation of .pyc files in library
   • Reduces risk of code persistence

4. Working Directory Protection

   • Application changes to /tmp directory
   • Prevents Python from compiling library files
   • Isolates execution environment

1. No Authentication

   • Backend API currently has no authentication
   • Should be secured in production deployments
   • Consider adding API keys or OAuth

2. No Input Validation

   • File paths are not fully validated
   • Could be vulnerable to path traversal attacks
   • Consider adding path validation

3. No Rate Limiting

   • API has no rate limiting
   • Could be vulnerable to DoS attacks
   • Consider adding rate limiting

4. No Encryption

   • Tracking data stored in plain text
   • Could be sensitive information
   • Consider encrypting tracking data

1. Add Authentication

   • Implement API key authentication
   • Consider OAuth 2.0
   • Add user authentication

2. Add Rate Limiting

   • Implement rate limiting per IP
   • Implement rate limiting per user
   • Use Flask-Limiter or similar

3. Add Input Validation

   • Validate all file paths
   • Validate all query parameters
   • Sanitize user input

4. Add CORS Protection

   • Configure CORS properly
   • Whitelist allowed origins
   • Use Flask-CORS with proper configuration

1. Add Code Signing

   • Sign executables for Windows
   • Sign executables for macOS
   • Prevents tampering warnings

2. Add Sandbox

   • Consider running in sandbox
   • Isolate file system access
   • Limit system calls

3. Add Encryption

   • Encrypt tracking data
   • Encrypt configuration files
   • Use encryption at rest

1. Add Dependency Scanning

   • Use GitHub Dependabot
   • Scan for vulnerabilities
   • Keep dependencies updated

2. Add Secret Scanning

   • Use GitHub secret scanning
   • Ensure no secrets in code
   • Use environment variables

3. Add Code Analysis

   • Use static analysis tools
   • Use linters
   • Use security scanners

• Change default configuration
• Set strong passwords/keys
• Enable HTTPS/TLS
• Configure firewall rules
• Set up logging and monitoring
• Implement backup strategy
• Enable security headers
• Configure CORS properly
• Add rate limiting
• Add authentication
• Review and test security measures

Use environment variables for sensitive configuration:

# API Configuration
FLASK_SECRET_KEY=your-secret-key-here
API_HOST=0.0.0.0
API_PORT=5000

# Database Configuration (if added)
DATABASE_URL=your-database-url

# Security Configuration
ENABLE_AUTH=true
API_KEY=your-api-key-here

We recommend regular security audits:

1. Code Review

   • Regular code reviews
   • Security-focused reviews
   • Third-party audits

2. Penetration Testing

   • Regular penetration testing
   • Automated security scanning
   • Manual testing

3. Dependency Updates

   • Keep dependencies updated
   • Monitor for vulnerabilities
   • Update promptly

In case of a security incident:

1. Contain

   • Isolate affected systems
   • Disable affected services
   • Preserve evidence

2. Investigate

   • Determine scope of incident
   • Identify root cause
   • Document findings

3. Remediate

   • Apply fixes
   • Update systems
   • Test fixes

4. Communicate

   • Notify affected users
   • Provide remediation steps
   • Be transparent about the incident

• OWASP Top 10
• CWE Top 25
• GitHub Security Advisories
• Python Security Best Practices

For security-related questions:

• Email: security@yourdomain.com
• GitHub: Use private vulnerability reporting

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