Awesome GitHub RepositoriesDebugger Detection

This project is a JavaScript code protection tool designed to transform source code into a version that is difficult for humans to read. Its primary purpose is to protect intellectual property and prevent reverse engineering by altering the original program logic. The tool employs several advanced techniques to hinder analysis, including control flow flattening and the injection of dead code. It can compile functions into custom bytecode executed by an embedded virtual machine and encrypt string literals to prevent static analysis of text. Additional capabilities include anti-debugging mecha

Al-Khaser is a research project focused on the development of anti-analysis and evasion techniques to resist reverse engineering. It provides implementations for detecting and evading virtual machines, sandboxes, and debuggers to prevent software analysis. The project implements control flow obfuscation through anti-disassembly methods and utilizes dynamic API resolution to bypass static import tables. It further hinders forensic analysis by manipulating memory headers to prevent process dumps and utilizing remote code injection to execute logic in external processes. The capability surface

HyperDbg is a hardware-assisted kernel-mode debugging platform that leverages virtualization to monitor and control system execution. By utilizing hypervisor-level primitives, it enables deep system analysis and instrumentation without relying on standard operating system debugging interfaces. The framework provides a comprehensive environment for inspecting both kernel and user-mode processes, allowing for granular control over execution flow and system state. The project distinguishes itself through a transparent debugging layer designed to remain invisible to the target environment. It emp

OffensiveNim is a red teaming framework and post-exploitation toolkit developed in Nim. It provides a collection of low-level primitives and a Windows API wrapper designed for offensive security operations, including malware development and shellcode loading. The project focuses on evasion and obfuscation through techniques such as API unhooking, direct system calls, and anti-debugging mechanisms. It features diverse payload delivery methods, including reflective binary loading, the execution of .NET assemblies via CLR hosting, and various shellcode injection techniques using fibers, COM obje