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.