QRCLib implements post-quantum cryptographic algorithms that are designed to be secure against both classical and quantum computer attacks. This document outlines security considerations and best practices for using the library.
- Kyber: Lattice-based key encapsulation mechanism (KEM) that is secure against quantum computer attacks.
- Dilithium: Lattice-based digital signature scheme that provides quantum-resistant signatures.
- Both algorithms are NIST Post-Quantum Cryptography finalists.
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Constant-Time Operations
- All sensitive operations are implemented to run in constant time
- Prevents timing attacks that could leak secret information
- Uses constant-time comparison for signature verification
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Secure Random Number Generation
- Uses Python's
secretsmodule for cryptographically secure randomness - Avoids using the standard
randommodule which is not cryptographically secure - Implements proper seeding and entropy gathering
- Uses Python's
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Memory Management
- Sensitive data is overwritten when no longer needed
- Avoids leaving secret keys in memory
- Implements proper error handling to prevent information leaks
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Key Generation
- Generate new keys for each session/use case
- Store private keys securely
- Never reuse nonces or random values
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Key Storage
- Use secure key storage mechanisms
- Encrypt private keys at rest
- Implement proper access controls
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Key Distribution
- Use secure channels for key distribution
- Verify key authenticity
- Implement proper key rotation policies
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Message Preparation
- Hash messages before signing
- Use constant-time operations
- Validate input data
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Signature Verification
- Always verify signatures before trusting messages
- Implement proper error handling
- Use constant-time comparison
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Secure Error Messages
- Do not leak sensitive information in error messages
- Use generic error messages for security-related failures
- Implement proper logging without exposing secrets
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Exception Handling
- Catch and handle all exceptions properly
- Do not expose internal state in exceptions
- Maintain security invariants during error conditions
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Code Review
- Review security-critical code thoroughly
- Follow secure coding guidelines
- Use static analysis tools
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Testing
- Implement comprehensive test suites
- Include security-focused test cases
- Test error handling paths
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Documentation
- Document security assumptions
- Provide clear security guidelines
- Keep documentation up to date
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Configuration
- Use appropriate security parameters
- Follow recommended key sizes
- Implement proper key management
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Integration
- Use the library as intended
- Do not modify security-critical code
- Keep the library updated
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Monitoring
- Monitor for security issues
- Implement proper logging
- Have an incident response plan
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Side-Channel Attacks
- While we implement constant-time operations, the library may still be vulnerable to some side-channel attacks
- Hardware-level attacks are not addressed
- Cache timing attacks may still be possible
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Implementation Constraints
- Pure Python implementation may be slower than optimized C/C++ versions
- Memory usage may be higher than optimal
- Some operations may not be fully constant-time due to Python limitations
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Version Control
- All security fixes are documented
- Security patches are clearly marked
- Version numbers follow semantic versioning
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Security Advisories
- Security issues are published as advisories
- CVEs are assigned when appropriate
- Users are notified of security updates
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Reporting Security Issues
- Report security issues privately
- Use responsible disclosure
- Contact maintainers directly for security concerns
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Standards
- Follows NIST post-quantum cryptography standards
- Implements FIPS-compliant random number generation
- Adheres to cryptographic best practices
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Auditing
- Code is open for security audits
- Changes are reviewed for security impact
- Security issues are tracked and resolved
For security-related issues or concerns:
- Email: m@aiya.sh
- GitHub Security Advisories: https://github.com/BlockSavvy/QRCLib/security/advisories