DumpSMBShare - A script to dump files and folders remotely from a Windows SMB share

Overview

DumpSMBShare

A script to dump files and folders remotely from a Windows SMB share.
GitHub release (latest by date)

Features

  • Only list shares with -list-shares.
  • Select only files with given extensions (with -extensions) or all files.
  • Choose the local folder to dump to with -dump-dir.
  • Select base folder to search from in the share with -base-dir.

Usage

$ ./DumpSMBShare.py -h

usage: Dump.py [-h] (-share SHARE | -list-shares) [-extensions EXTENSIONS] [-dump-dir DUMP_DIR] [-base-dir BASE_DIR] [-ts] [-debug] [-hashes LMHASH:NTHASH] [-no-pass] [-k] [-aesKey hex key] [-dc-ip ip address]
               [-target-ip ip address] [-port [destination port]]
               target

positional arguments:
  target                [[domain/]username[:password]@]<targetName or address>

optional arguments:
  -h, --help            show this help message and exit
  -share SHARE          SMB Share to dump
  -list-shares          Lists SMB shares.
  -extensions EXTENSIONS
                        Extensions
  -dump-dir DUMP_DIR    Dump directory
  -base-dir BASE_DIR    Directory to search in (Default: /)
  -ts                   Adds timestamp to every logging output
  -debug                Turn DEBUG output ON

authentication:
  -hashes LMHASH:NTHASH
                        NTLM hashes, format is LMHASH:NTHASH
  -no-pass              Don't ask for password (useful for -k)
  -k                    Use Kerberos authentication. Grabs credentials from ccache file (KRB5CCNAME) based on target parameters. If valid credentials cannot be found, it will use the ones specified in the
                        command line
  -aesKey hex key       AES key to use for Kerberos Authentication (128 or 256 bits)

connection:
  -dc-ip ip address     IP Address of the domain controller. If omitted it will use the domain part (FQDN) specified in the target parameter
  -target-ip ip address
                        IP Address of the target machine. If omitted it will use whatever was specified as target. This is useful when target is the NetBIOS name and you cannot resolve it
  -port [destination port]
                        Destination port to connect to SMB Server

Example

  • Dump all files from the SYSVOL share:

    ./DumpSMBShare.py 'LAB.local/user2:[email protected]' -debug
    

Contributing

Pull requests are welcome. Feel free to open an issue if you want to add other features.

You might also like...
Facial detection, landmark tracking and expression transfer library for Windows, Linux and Mac

Welcome to the CSIRO Face Analysis SDK. Documentation for the SDK can be found in doc/documentation.html. All code in this SDK is provided according t

This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.
This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

OpenVINO Inference API This is a repository for an object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operati

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

Swin Transformer for Object Detection This repo contains the supported code and configuration files to reproduce object detection results of Swin Tran

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Yolo v4, v3 and v2 for Windows and Linux (neural networks for object detection) Paper YOLO v4: https://arxiv.org/abs/2004.10934 Paper Scaled YOLO v4:

Pull sensitive data from users on windows including discord tokens and chrome data.
Pull sensitive data from users on windows including discord tokens and chrome data.

⭐ For a 🍪 Pegasus Pull sensitive data from users on windows including discord tokens and chrome data. Features 🟩 Discord tokens 🟩 Geolocation data

bespoke tooling for offensive security's Windows Usermode Exploit Dev course (OSED)
bespoke tooling for offensive security's Windows Usermode Exploit Dev course (OSED)

osed-scripts bespoke tooling for offensive security's Windows Usermode Exploit Dev course (OSED) Table of Contents Standalone Scripts egghunter.py fin

render sprites into your desktop environment as shaped windows using GTK

spritegtk render static or animated sprites into your desktop environment as dynamic shaped windows using GTK requires pycairo and PYGobject: pip inst

Unofficial implementation of
Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

Swin-Transformer-Tensorflow A direct translation of the official PyTorch implementation of "Swin Transformer: Hierarchical Vision Transformer using Sh

Faster RCNN pytorch windows

Faster-RCNN-pytorch-windows Faster RCNN implementation with pytorch for windows Open cmd, compile this comands: cd lib python setup.py build develop T

Comments
  • Fix Exception when -l and dir_path = None

    Fix Exception when -l and dir_path = None

    Env: Manjaro, python 3.10

    When running a list share and not specifiying DUMP_DIR, we get:

    $ python DumpSMBShare.py '42.42.42.42' -l
    DumpSMBShare v1.2 - by @podalirius_
    
    Traceback (most recent call last):
      File "/usr/bin/dumpsmbshare", line 222, in <module>
        raise e
      File "/usr/bin/dumpsmbshare", line 202, in <module>
        g = BFSDumpShare(smbClient, args.share, dump_dir=args.dump_dir)
      File "/usr/bin/dumpsmbshare", line 28, in __init__
        if not os.path.exists(self.dump_dir):
      File "/usr/lib/python3.10/genericpath.py", line 19, in exists
        os.stat(path)
    TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType
    

    My commit fixes that.

    Passing dump_dir=None prevents the default value to be set on ., omiting it works as expected.

    opened by SecT0uch 0
Releases(1.3)
Owner
Podalirius
Security Researcher 🕵️‍♂️ | Speaker 📣
Podalirius
Automatic Video Captioning Evaluation Metric --- EMScore

Automatic Video Captioning Evaluation Metric --- EMScore Overview For an illustration, EMScore can be computed as: Installation modify the encode_text

Yaya Shi 17 Nov 28, 2022
Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment

GAN-Supervised Dense Visual Alignment — Official PyTorch Implementation Paper | Project Page | Video This repo contains training, evaluation and visua

944 Jan 07, 2023
Code for How To Create A Fully Automated AI Based Trading System With Python

AI Based Trading System This code works as a boilerplate for an AI based trading system with yfinance as data source and RobinHood or Alpaca as broker

Rubén 196 Jan 05, 2023
Official implementation of Protected Attribute Suppression System, ICCV 2021

Official implementation of Protected Attribute Suppression System, ICCV 2021

Prithviraj Dhar 6 Jan 01, 2023
VACA: Designing Variational Graph Autoencoders for Interventional and Counterfactual Queries

VACA Code repository for the paper "VACA: Designing Variational Graph Autoencoders for Interventional and Counterfactual Queries (arXiv)". The impleme

Pablo Sánchez-Martín 16 Oct 10, 2022
Meandering In Networks of Entities to Reach Verisimilar Answers

MINERVA Meandering In Networks of Entities to Reach Verisimilar Answers Code and models for the paper Go for a Walk and Arrive at the Answer - Reasoni

Shehzaad Dhuliawala 271 Dec 13, 2022
Reproduction of Vision Transformer in Tensorflow2. Train from scratch and Finetune.

Vision Transformer(ViT) in Tensorflow2 Tensorflow2 implementation of the Vision Transformer(ViT). This repository is for An image is worth 16x16 words

sungjun lee 42 Dec 27, 2022
Multi-Modal Fingerprint Presentation Attack Detection: Evaluation On A New Dataset

PADISI USC Dataset This repository analyzes the PADISI-Finger dataset introduced in Multi-Modal Fingerprint Presentation Attack Detection: Evaluation

USC ISI VISTA Computer Vision 6 Feb 06, 2022
Tilted Empirical Risk Minimization (ICLR '21)

Tilted Empirical Risk Minimization This repository contains the implementation for the paper Tilted Empirical Risk Minimization ICLR 2021 Empirical ri

Tian Li 40 Nov 28, 2022
Official repo for BMVC2021 paper ASFormer: Transformer for Action Segmentation

ASFormer: Transformer for Action Segmentation This repo provides training & inference code for BMVC 2021 paper: ASFormer: Transformer for Action Segme

42 Dec 23, 2022
Dilated Convolution with Learnable Spacings PyTorch

Dilated-Convolution-with-Learnable-Spacings-PyTorch Ismail Khalfaoui Hassani Dilated Convolution with Learnable Spacings (abbreviated to DCLS) is a no

15 Dec 09, 2022
The all new way to turn your boring vector meshes into the new fad in town; Voxels!

Voxelator The all new way to turn your boring vector meshes into the new fad in town; Voxels! Notes: I have not tested this on a rotated mesh. With fu

6 Feb 03, 2022
PyTorch implementation of Super SloMo by Jiang et al.

Super-SloMo PyTorch implementation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation" by Jiang H., Sun

Avinash Paliwal 2.9k Jan 03, 2023
Simple reference implementation of GraphSAGE.

Reference PyTorch GraphSAGE Implementation Author: William L. Hamilton Basic reference PyTorch implementation of GraphSAGE. This reference implementat

William L Hamilton 861 Jan 06, 2023
FewBit — a library for memory efficient training of large neural networks

FewBit FewBit — a library for memory efficient training of large neural networks. Its efficiency originates from storage optimizations applied to back

24 Oct 22, 2022
Pytorch implementation of Compressive Transformers, from Deepmind

Compressive Transformer in Pytorch Pytorch implementation of Compressive Transformers, a variant of Transformer-XL with compressed memory for long-ran

Phil Wang 118 Dec 01, 2022
Learning to See by Looking at Noise

Learning to See by Looking at Noise This is the official implementation of Learning to See by Looking at Noise. In this work, we investigate a suite o

Manel Baradad Jurjo 82 Dec 24, 2022
This is our ARTS test set, an enriched test set to probe Aspect Robustness of ABSA.

This is the repository for our 2020 paper "Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis". Data We provide

35 Nov 16, 2022
basic tutorial on pytorch

Quick Tutorial on PyTorch PyTorch Basics Linear Regression Logistic Regression Artificial Neural Networks Convolutional Neural Networks Recurrent Neur

7 Sep 15, 2022
CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors

CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors   In order to facilitate the res

yujmo 11 Dec 12, 2022