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MOTIVATION: Injecting a DLL into a running process is a common way to automate or extend a closed-source executable, due to the ease of calling and intercepting internal functions. This is usually done in C or C++, but large projects can benefit from scripting. Scripting is done by using C/C++ as a middle layer, that imports internal functions and exports them to the script interpreter. WHAT IS THIS: A proof of concept for eliminating the middle layer for Python scripts, by using the standard ctypes library to directly access internal functions and variables. GOALS: 1. Accelerate the development process by making use of a REPL and higher level language. 2. Benchmark to see if there's a noticeable performance difference in typical applications. STRUCTURE: python/d2funcs.py process internals available to an injected interpreter python/d2vars.py " python/d2struct.py " python/lib/funcdefs.py decorators and functions used to neatly define the above python/lib/asm.py inline assembler required for more advanced techniques python/boot/ IDLE GUI and other startup code python/d2py.py interpreter entry point c/Engine/* DLL with Python interpreter and nothing else c/Injector/* trivial DLL injector CURRENTLY IMPLEMENTED: Variable pointers. Standard (stdcall, cdecl, MS __fastcall) function calls. Ability to inline simple assembly. ROUGH ROADMAP: 3. Do what I can with structs. They seem to really need a pretty-printer. 4. Look into simple intercepts. 5. Implement a classic, resourse-intensive program (Diablo 2 maphack) and compare to a C equivalent. 6. Look into embedding simple assembly, in order to intercept and call non-stdcall, non-cdecl functions! Originally based on some of my old code: http://code.google.com/p/d2py/ PROOF OF CONCEPT IN PROGRESS - CODE QUALITY NOT GUARANTEED!
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Inject a DLL with a Python interpreter into a process, then use pure Python to access process functions and variables!
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