How to get started with LLVM-based code obfuscation?

Explore the 'OLLVM' section in the repository for tools like Hikari and OLLVM forks; start with their documentation and example projects to set up and test obfuscation passes on your code.

What are the best tools for lifting binary code to LLVM IR?

Check the 'LIFT' section for options like RetDec, mcsema, and revng; choose based on your target architecture (e.g., x86, ARM) and whether you need static or dynamic lifting capabilities.

LLVM security tools vs traditional binary analysis tools: which should I use?

LLVM-based tools offer deep, compile-time analysis and transformation, ideal for custom passes or obfuscation, but require compiler knowledge; traditional tools like IDA or Ghidra might be better for quick, interactive reverse engineering.

How to install AI skills from awesome-llvm-security for my coding assistant?

Use the npx command from the README, e.g., 'npx skills add https://github.com/gmh5225/awesome-llvm-security --skill llvm-obfuscation', to add skills to compatible AI agents like Cursor or OpenClaw for specialized queries.

Is awesome-llvm-security updated with new LLVM versions and tools?

Updates depend on community contributions; while it includes recent forks (e.g., for LLVM 19), some links may be outdated, so check commit history or issues for activity.

How to write a custom LLVM pass for security analysis?

Refer to the 'LLVM Tutorial' and 'Out-of-tree LLVM pass' sections for resources like llvm-tutor and example passes; use these to learn pass writing and integrate with your projects.

What are the limitations of using OLLVM for obfuscation in production?

OLLVM forks can introduce performance overhead, compatibility issues with newer LLVM versions, and may be detectable by anti-tampering tools; always test thoroughly and consider maintenance efforts.

Awesome LLVM security — LLVM Security Tools Collection

What is Awesome LLVM security?

Awesome LLVM Security is a curated GitHub repository that serves as a massive index of tools, libraries, research papers, and educational materials centered around the LLVM compiler framework, with a specific focus on security applications. It solves the problem of fragmented information by collecting resources for binary analysis, code obfuscation, compiler passes, and program transformation in one place.

Target Audience

Compiler engineers, security researchers, reverse engineers, and students interested in low-level program analysis, code hardening, and understanding LLVM's internals for security purposes.

Value Proposition

Developers choose this repository because it provides an unparalleled, centralized collection of specialized LLVM resources that are otherwise scattered across the internet, saving significant research time and fostering community knowledge sharing in niche areas like obfuscation and binary lifting.

awesome llvm security [Welcome to PR]

Use Cases

Best For

Finding LLVM-based obfuscation tools like OLLVM or Hikari for code protection
Learning how to write custom LLVM passes for program analysis or transformation
Researching techniques for lifting binary code to LLVM Intermediate Representation (IR)
Exploring resources for building a custom compiler or language frontend with LLVM
Integrating specialized security knowledge into AI coding assistants via installable skills
Studying compiler security concepts, sanitizers, and static analysis methods

Not Ideal For

Projects requiring direct support and maintenance for compiler toolchains in production environments
Teams looking for beginner-friendly, step-by-step tutorials on LLVM basics without navigating a vast list
Developers needing up-to-date, verified security patches or immediate bug fixes for LLVM-based tools
Organizations seeking vendor-supported, integrated security solutions with guaranteed compatibility

Pros & Cons

Pros

Comprehensive Resource Aggregation

Aggregates a vast array of tools, libraries, and research papers for LLVM security, such as obfuscation passes (e.g., OLLVM, Hikari) and binary lifters (e.g., RetDec), saving significant research time.

AI Agent Integration

Provides installable skills for AI coding assistants like Cursor and Claude, enabling specialized knowledge in areas like game security and LLVM topics, as detailed in the README.

Community-Driven Curation

Maintained as an awesome list with contribution guidelines, ensuring a diverse collection of community-vetted resources that evolve with the ecosystem.

Security-Focused Niche

Specifically targets security applications like code obfuscation, sanitizers, and static analysis, which are often scattered and hard to find in general compiler resources.

Cons

No Direct Maintenance

As a curated list, it does not maintain or support the linked projects; users must rely on external repositories that may be outdated, abandoned, or have breaking changes.

Potential for Broken Links

The README admits that some links might not work and suggests manual fixes (e.g., replacing usernames), indicating curation lag and reliability issues in the aggregated content.

Overwhelming for Newcomers

Lacks structured guidance or filtering, making it difficult for beginners to navigate the extensive list and apply resources effectively without prior LLVM expertise.

Variable Quality and Stability

Includes many forks and experimental projects without vetting for quality, stability, or security, posing risks for production use or consistent learning outcomes.

Frequently Asked Questions

What is Awesome LLVM security?

Target Audience

Compiler engineers, security researchers, reverse engineers, and students interested in low-level program analysis, code hardening, and understanding LLVM's internals for security purposes.

Value Proposition

Use Cases

Best For

Finding LLVM-based obfuscation tools like OLLVM or Hikari for code protection
Learning how to write custom LLVM passes for program analysis or transformation
Researching techniques for lifting binary code to LLVM Intermediate Representation (IR)
Exploring resources for building a custom compiler or language frontend with LLVM
Integrating specialized security knowledge into AI coding assistants via installable skills
Studying compiler security concepts, sanitizers, and static analysis methods

Not Ideal For

Projects requiring direct support and maintenance for compiler toolchains in production environments
Teams looking for beginner-friendly, step-by-step tutorials on LLVM basics without navigating a vast list
Developers needing up-to-date, verified security patches or immediate bug fixes for LLVM-based tools
Organizations seeking vendor-supported, integrated security solutions with guaranteed compatibility

Pros & Cons

Pros

Comprehensive Resource Aggregation

AI Agent Integration

Provides installable skills for AI coding assistants like Cursor and Claude, enabling specialized knowledge in areas like game security and LLVM topics, as detailed in the README.

Community-Driven Curation

Maintained as an awesome list with contribution guidelines, ensuring a diverse collection of community-vetted resources that evolve with the ecosystem.

Security-Focused Niche

Specifically targets security applications like code obfuscation, sanitizers, and static analysis, which are often scattered and hard to find in general compiler resources.

Cons

No Direct Maintenance

As a curated list, it does not maintain or support the linked projects; users must rely on external repositories that may be outdated, abandoned, or have breaking changes.

Potential for Broken Links

The README admits that some links might not work and suggests manual fixes (e.g., replacing usernames), indicating curation lag and reliability issues in the aggregated content.

Overwhelming for Newcomers

Lacks structured guidance or filtering, making it difficult for beginners to navigate the extensive list and apply resources effectively without prior LLVM expertise.

Variable Quality and Stability

Includes many forks and experimental projects without vetting for quality, stability, or security, posing risks for production use or consistent learning outcomes.

Frequently Asked Questions

Awesome LLVM security

What is Awesome LLVM security?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

Awesome LLVM security

What is Awesome LLVM security?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?