constant-time-testing

Detect timing side-channel vulnerabilities in cryptographic implementations using dudect and timecop.

Updated Jan 24, 2026
One-click install
npx skills add https://github.com/amano--/call-center --skill constant-time-testing-amano
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: constant-time-testing
Source: https://github.com/amano--/call-center/tree/main/.gemini/antigravity/skills/trailofbits-security/constant-time-testing
Command: npx skills add https://github.com/amano--/call-center --skill constant-time-testing-amano

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps developers identify and fix timing vulnerabilities in cryptographic code, which can be exploited to leak sensitive information like private keys.

Core Features & Use Cases

  • Detect Timing Leaks: Uses statistical analysis (dudect) and dynamic tracing (timecop) to find execution time differences correlated with secret data.
  • Pinpoint Vulnerabilities: Identifies specific code locations responsible for timing leaks.
  • Use Case: When auditing a new cryptographic library, use this Skill to run automated tests that detect if secret exponents are leaked through execution time variations during modular exponentiation.

Quick Start

Analyze the provided C code for potential timing vulnerabilities using the dudect and timecop tools.

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 in cryptographic code are detected using statistical analysis with dudect and dynamic tracing with timecop to pinpoint execution time variations correlated with secret data.

What is a timing attack and how does it expose private keys?

A timing attack exposes private keys by measuring execution time variations during cryptographic operations, allowing attackers to statistically correlate secret exponents with processing delays in modular exponentiation.

How do I test my cryptographic library for constant-time execution leaks?

Cryptographic libraries are tested for constant-time execution leaks by running automated statistical tests with dudect and dynamic tracing with timecop to identify specific code locations responsible for timing differences.

Can I use dudect and timecop to audit C code for secret-dependent execution paths?

Dudect and timecop audit C code by applying statistical testing and dynamic tracing to identify secret-dependent execution paths that cause timing variations during security-sensitive cryptographic operations.

What is the best way to secure crypto implementations against unauthorized information disclosure?

Securing crypto implementations against unauthorized information disclosure requires identifying and fixing timing vulnerabilities where secret data correlates with execution time differences using statistical analysis and dynamic tracing.

When should I run timing vulnerability analysis on my cryptographic implementation?

Timing vulnerability analysis should run when auditing new cryptographic libraries to detect if secret exponents are leaked through execution time variations during modular exponentiation before deployment.