HMAC-DRBG Threat Model

Algorithm Type: Random Number Generator
Security Level: Varies-bit
Quantum Impact: Security depends on underlying hash function
Last Updated: 2025-01-02

Executive Summary

This document analyzes threats specific to HMAC-DRBG, a Random Number Generator algorithm providing Varies-bit classical security. Security depends on underlying hash function

Algorithm-Specific Threats

Cryptanalytic Attacks

Implementation Vulnerabilities

Common Weaknesses

Platform-Specific Risks

Security Analysis

Classical Security

| Attack Type | Complexity | Practical | Mitigation | |————|————|———–|————| | Brute Force | 2^Varies | No | Key size selection | | Cryptanalysis | Varies | Depends | Algorithm updates | | Side-Channel | Implementation | Yes | Countermeasures |

Quantum Security

Security depends on underlying hash function

Implementation Best Practices

Secure Implementation Requirements

  1. Constant-time operations
  2. Secure memory handling
  3. Proper initialization
  4. Error handling without leakage

Common Pitfalls

Deployment Considerations

Use Case Specific Threats

Migration Considerations

Countermeasures

Design Level

Implementation Level

Operational Level

Compliance and Standards

Testing Requirements

Security Validation

Performance Testing

Known Vulnerabilities

Historical Issues

Current Concerns

References


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