/**
 * Timing Attack Security Tests
 *
 * These tests verify that security-sensitive operations are timing-safe
 * to prevent timing attacks that could leak information about valid tokens,
 * passwords, API keys, and other secrets.
 *
 * TIMING ATTACK BACKGROUND:
 * -------------------------
 * A timing attack exploits the fact that naive string comparison operations
 * (like `===`) typically short-circuit on the first differing character.
 * An attacker can measure response times to infer how many characters of a
 * secret they have guessed correctly.
 *
 * Example vulnerability:
 * - "a..." vs "secret" fails immediately (1 comparison)
 * - "s..." vs "secret" fails after 1 match (2 comparisons)
 * - "se..." vs "secret" fails after 2 matches (3 comparisons)
 *
 * By measuring timing differences (often in microseconds), an attacker can
 * iteratively discover the correct secret character by character.
 *
 * SOLUTION:
 * ---------
 * Use constant-time comparison functions that always compare all characters,
 * regardless of where the first difference occurs.
 *
 * NOTE ON TIMING TESTS:
 * --------------------
 * Unit tests for timing characteristics are inherently noisy due to:
 * - JIT compilation optimizations
 * - Garbage collection pauses
 * - OS scheduling and interrupts
 * - CPU frequency scaling
 * - Cache effects
 *
 * The statistical timing tests in this file use relaxed thresholds and are
 * primarily for documentation and regression detection, not cryptographic
 * certification. For production-grade timing analysis, use dedicated tools
 * like https://github.com/oreparaz/dudect in a controlled environment.
 *
 * @see https://en.wikipedia.org/wiki/Timing_attack
 * @see https://codahale.com/a-lesson-in-timing-attacks/
 */
export {};
//# sourceMappingURL=security.test.d.ts.map