It leaves behind unbacked executable memory sections in the target process where code has been injected - which will be used to enable detection. The image below summarises the steps used in the type of DLL injection being detected by GetInjectedThreads. Executing the code written to the target process.Allocating memory in the target process.I won’t go into a detailed explanation here, particularly as there are many different techniques for injecting code into another process, but at its crux, process injection always involves three key steps: Chapter 8 of The Art of Memory Forensics.This 2019 Blackhat Paper on Windows process injection, and. ![]() I decided to collect the exact same information upon initial detection and output results to console in the same format. The post breaks down Get-InjectedThread.ps1 and details what information is collected from injected threads.This SpecterOps Post by Jared Atkinson, without which I would have been lost!.After doing some research, I decided I’d have a crack at writing some code to detect process injection and came across the following useful resources that I relied upon for writing this post and my tool: I’ve recently been using meterpreter and Cobalt Strike a lot, which both rely heavily on reflective DLL injection for execution of their second stages in memory. Over time I’ve become increasingly curious as to how process injection works and how one might detect it. ![]() While my tool currently finds injected threads and outputs information useful for responders, a Part 2 of this post will take it a step further, scanning identified processes for malware signatures and extracting useful configuration information from them! GetInjectedThreads is essentially a C# implementation of Jared Atkinson’s Get-InjectedThread.ps1 Which I’ll also discuss below. I’ll be using code snippets from my tool GetInjectedThreads throughout this post to explain the detection process and including screenshots of my tool’s output to show detection of some common malware that primarily lives in-memory. This post breaks down how to detect classic and reflective DLL injection on a live Windows host by enumerating running processes and their threads for signs of malicious code injection.
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