constant-time-testing

Analyzes cryptographic code for timing side-channel vulnerabilities using statistical and dynamic techniques.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/ofelixdev/cc-kit --skill constant-time-testing-ofelixdev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: constant-time-testing
Source: https://github.com/ofelixdev/cc-kit/tree/main/template/skills/constant-time-testing
Command: npx skills add https://github.com/ofelixdev/cc-kit --skill constant-time-testing-ofelixdev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill helps detect and prevent timing side-channel attacks in cryptographic implementations, which can leak sensitive information through variations in execution time.

Core Features & Use Cases

  • Detect Timing Leaks: Identifies code patterns vulnerable to timing attacks (e.g., secret-dependent branches, array accesses).
  • Analyze Crypto Implementations: Audits cryptographic primitives, protocols, and code handling secret keys.
  • Use Case: When reviewing a new TLS implementation, use this Skill to automatically scan for common timing vulnerabilities that could expose private keys.

Quick Start

Use the constant-time-testing skill to audit the provided cryptographic function for timing vulnerabilities.

Frequently Asked Questions about constant-time-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect timing side-channel vulnerabilities in cryptographic code?

Timing side-channel vulnerabilities are detected by analyzing cryptographic code for secret-dependent execution paths and branches. This process uses statistical and dynamic analysis techniques to identify operations that leak sensitive information through variations in execution time.

When do I need to audit my code for constant-time execution?

You need to audit for constant-time execution when reviewing security-critical implementations like new TLS protocols. This ensures sensitive operations handling secret keys do not expose private data through timing variations during cryptographic primitive execution.

How do I scan a cryptographic implementation for timing attacks using dynamic analysis?

Scanning for timing attacks requires integrating with dynamic analysis tools like dudect and timecop. This combination applies statistical techniques to test cryptographic functions and identify code patterns vulnerable to secret-dependent array accesses or branches.

Can I use this approach to audit secret-dependent branches in a new TLS implementation?

Yes, auditing secret-dependent branches in a new TLS implementation is a primary use case. The analysis automatically scans for common timing vulnerabilities that could expose private keys during cryptographic primitive and protocol execution.

What are the limitations of statistical analysis for identifying timing leaks?

Statistical analysis for timing leaks requires integration with dynamic tools like dudect and timecop for comprehensive testing. Limitations arise if the cryptographic code cannot be instrumented for dynamic execution or if secret-dependent execution paths are obscured.

What is a constant-time testing approach for preventing timing attacks?

A constant-time testing approach prevents timing attacks by ensuring cryptographic operations execute in a uniform duration regardless of secret inputs. It identifies and eliminates secret-dependent branches and array accesses to secure sensitive cryptographic implementations.