constant-time-testing

To test for timing side-channel vulnerabilities, you need to identify secret-dependent execution-time variations in cryptographic implementations by combining statistical testing for leak detection with dynamic tracing to localize constant-time violations across branches, memory accesses, and arithmetic operations.

The best way to find constant-time violations is to set up a dudect-based statistical test on a crypto function processing secret keys to flag variance, then use timecop to pinpoint the specific leak location and trace the root cause for remediation.

Secret-dependent branching causes timing leaks because it creates variable-time behavior where execution paths differ based on secret data, allowing attackers to exploit measurable execution-time differences to recover sensitive information like cryptographic keys.

To trace the root cause of a constant-time violation flagged by statistical testing, apply dynamic tracing to localize secret-dependent execution-time variations down to specific branches, array lookups, division, or shifts that violate constant-time goals.

Before running timing analysis on secret-key handling functions, you need to define exactly what constitutes secret data within your cryptographic implementation so that statistical testing and dynamic tracing can accurately measure secret-dependent execution-time variations.

Yes, timecop can detect timing leaks in modular arithmetic operations by using dynamic tracing to pinpoint variable-time behavior in cryptographic implementations suspected of secret-dependent execution across arithmetic operations, array lookups, and branches.