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Reflective loading with Remote Memory Interactions: Controlling local operations remotely

Reflective loading with Remote Memory Interactions: Controlling local operations remotely

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Pentera Labs introduced a framework for reflective DLL loading that enables remote memory interactions, allowing attackers or researchers to control local operations on a remote host. The system uses three components: MemoryAPI to handle memory operations, BufferAPI to manage data objects, and ModuleAPI to execute functions within the DLL. For example, by loading python.dll into memory, it can allocate strings remotely and run commands like PyRun_SimpleString. This approach scales local reflective loading techniques to multiple hosts, automating exploitation and enabling execution of complex tasks such as file management and code injection across remote systems.

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