constant-time-analysis

Detect timing side-channel vulnerabilities in compiled assembly and bytecode outputs.

Updated Jul 10, 2025
One-click install
npx skills add https://github.com/Superlend/superloop-core-contracts --skill constant-time-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: constant-time-analysis
Source: https://github.com/Superlend/superloop-core-contracts/tree/main/.cursor/skills/constant-time-analysis/skills/constant-time-analysis
Command: npx skills add https://github.com/Superlend/superloop-core-contracts --skill constant-time-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps identify timing side-channel vulnerabilities in cryptographic code by spotting operations that can reveal secrets through execution time, such as secret divisions, data-dependent branches, or unsafe comparisons.

Core Features & Use Cases

  • Cross-language analysis: Applies to C/C++, Go, Rust, Kotlin, Java, JavaScript/TypeScript, Python, Ruby, PHP, Swift, and more, analyzing assembly or bytecode outputs.
  • Architecture-aware checks: Detects potential timing leaks across x86_64, ARM64, and other architectures to guide secure coding practices.
  • CI-friendly guidance: Produces actionable recommendations and integrates into development workflows for secure software delivery.

Quick Start

Invoke the Constant-Time Analysis on your crypto code to identify timing vulnerabilities and receive recommended fixes.

Frequently Asked Questions about constant-time-analysis

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?

To detect timing side-channel vulnerabilities in cryptographic code, you scan compiled assembly or bytecode outputs for dangerous operations like secret divisions, data-dependent branches, or unsafe comparisons that reveal secrets through execution time.

What operations cause timing attacks in cryptographic implementations?

Timing attacks in cryptographic implementations are typically caused by operations like secret divisions, data-dependent branches, or unsafe comparisons that vary in execution time based on secret data.

Can I analyze timing leaks across different programming languages and architectures?

Yes, you can analyze timing leaks across languages like C/C++, Go, Rust, Java, and more, and it detects potential leaks across x86_64, ARM64, and other architectures by scanning compiled outputs.

How do I integrate timing side-channel analysis into a CI pipeline?

Integrate timing side-channel analysis into a CI pipeline by running it against compiled cryptographic code outputs to produce actionable recommendations for secure software delivery during development workflows.

Do I need external security tools to scan bytecode for timing vulnerabilities?

No, you do not need external security tools to scan bytecode for timing vulnerabilities beyond standard development environments, as the skill provides language-specific references to guide fixes directly.