Flare-VM is a Windows malware analysis environment consisting of installation scripts that automate the provisioning of a virtual machine. It provides a comprehensive suite of reverse engineering tools, including decompilers and debuggers, along with the necessary system configurations and environment variables for security research. The project functions as a virtual machine image orchestrator, allowing for the automated creation, management, and export of specialized analysis appliances. It features configuration-driven tool selection and the ability to extend installation logic through cus
This project is a structured course and instructional guide focused on x64 Windows reverse engineering. It provides a curriculum for analyzing and decompiling Windows binaries through the study of assembly language and operating system internals. The material covers Windows binary analysis and malware analysis, with a specific focus on interpreting x64 machine code to recover original program logic. It guides the user through the process of tracing program behavior and logging function calls to understand how binaries operate. The technical scope includes assembly-level decompilation, debugg
This project is a collection of scripts and configuration files designed to automate the deployment of developer toolsets, big data tools, and system-wide dotfiles. It serves as a provisioning system for installing languages, data analysis tools, and system dependencies across diverse programming stacks. The suite provides specialized automation for macOS developer onboarding and the setup of Python data science workflows. It includes dedicated installers for distributed processing engines like Spark and Hadoop, as well as environments for web and mobile development. The system covers a broa
Retdec is an LLVM-based machine code decompiler and static binary analysis tool designed for binary reverse engineering. It translates binary executable code into high-level representations to facilitate the reconstruction of program logic from compiled machine code. The system utilizes a retargetable frontend architecture and a multi-stage lifting pipeline to convert raw bytes into a common intermediate language. It differentiates custom program logic from known library code through signature-based identification and provides utilities for binary symbol demangling to restore human-readable n