Kerberoast with ACL abuse capabilities

Overview

targetedKerberoast

targetedKerberoast is a Python script that can, like many others (e.g. GetUserSPNs.py), print "kerberoast" hashes for user accounts that have a SPN set. This tool brings the following additional feature: for each user without SPNs, it tries to set one (abuse of a write permission on the servicePrincipalName attribute), print the "kerberoast" hash, and delete the temporary SPN set for that operation. This is called targeted Kerberoasting. This tool can be used against all users of a domain, or supplied in a list, or one user supplied in the CLI.

More information about this attack

Usage

This tool supports the following authentications

Among other things, pyWhisker supports multi-level verbosity, just append -v, -vv, ... to the command :)

usage: targetedKerberoast.py [-h] [-v] [-q] [-D TARGET_DOMAIN] [-U USERS_FILE] [--request-user username] [-o OUTPUT_FILE] [--use-ldaps] [--only-abuse] [--no-abuse] [--dc-ip ip address] [-d DOMAIN] [-u USER]
                             [-k] [--no-pass | -p PASSWORD | -H [LMHASH:]NTHASH | --aes-key hex key]

Queries target domain for SPNs that are running under a user account and operate targeted Kerberoasting

optional arguments:
  -h, --help            show this help message and exit
  -v, --verbose         verbosity level (-v for verbose, -vv for debug)
  -q, --quiet           show no information at all
  -D TARGET_DOMAIN, --target-domain TARGET_DOMAIN
                        Domain to query/request if different than the domain of the user. Allows for Kerberoasting across trusts.
  -U USERS_FILE, --users-file USERS_FILE
                        File with user per line to test
  --request-user username
                        Requests TGS for the SPN associated to the user specified (just the username, no domain needed)
  -o OUTPUT_FILE, --output-file OUTPUT_FILE
                        Output filename to write ciphers in JtR/hashcat format
  --use-ldaps           Use LDAPS instead of LDAP
  --only-abuse          Ignore accounts that already have an SPN and focus on targeted Kerberoasting
  --no-abuse            Don't attempt targeted Kerberoasting

authentication & connection:
  --dc-ip ip address    IP Address of the domain controller or KDC (Key Distribution Center) for Kerberos. If omitted it will use the domain part (FQDN) specified in the identity parameter
  -d DOMAIN, --domain DOMAIN
                        (FQDN) domain to authenticate to
  -u USER, --user USER  user to authenticate with

secrets:
  -k, --kerberos        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
  --no-pass             don't ask for password (useful for -k)
  -p PASSWORD, --password PASSWORD
                        password to authenticate with
  -H [LMHASH:]NTHASH, --hashes [LMHASH:]NTHASH
                        NT/LM hashes, format is LMhash:NThash
  --aes-key hex key     AES key to use for Kerberos Authentication (128 or 256 bits)

Below is an example what the tool can do.

Credits and references

Credits to the whole team behind Impacket and its contributors.

Owner
Shutdown
Shutdown
LCG T-TEST USING EUCLIDEAN METHOD

This project has been created for statistical usage, purposing for determining ATL takers and nontakers using LCG ttest and Euclidean Method, especially for internal business case in Telkomsel.

2 Jan 21, 2022
Code for the paper PermuteFormer

PermuteFormer This repo includes codes for the paper PermuteFormer: Efficient Relative Position Encoding for Long Sequences. Directory long_range_aren

Peng Chen 42 Mar 16, 2022
This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer Models by Reordering their Sublayers.

Improving Transformer Models by Reordering their Sublayers This repository contains the code for running the character-level Sandwich Transformers fro

Ofir Press 53 Sep 26, 2022
Machine Psychology: Python Generated Art

Machine Psychology: Python Generated Art A limited collection of 64 algorithmically generated artwork. Each unique piece is then given a title by the

Pixegami Team 67 Dec 13, 2022
GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training Code and model from our AAAI 2021 paper

Amazon Web Services - Labs 83 Jan 09, 2023
This is a GUI program that will generate a word search puzzle image

Word Search Puzzle Generator Table of Contents About The Project Built With Getting Started Prerequisites Installation Usage Roadmap Contributing Cont

11 Feb 22, 2022
LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating

LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating (Dataset) The dataset is from Amazon Review Data (2018)

Immanuvel Prathap S 1 Jan 16, 2022
Script to generate VAD dataset used in Asteroid recipe

About the dataset LibriVAD is an open source dataset for voice activity detection in noisy environments. It is derived from LibriSpeech signals (clean

11 Sep 15, 2022
A text augmentation tool for named entity recognition.

neraug This python library helps you with augmenting text data for named entity recognition. Augmentation Example Reference from An Analysis of Simple

Hiroki Nakayama 48 Oct 11, 2022
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context This repository contains the code in both PyTorch and TensorFlow for our paper

Zhilin Yang 3.3k Dec 28, 2022
This repository contains examples of Task-Informed Meta-Learning

Task-Informed Meta-Learning This repository contains examples of Task-Informed Meta-Learning (paper). We consider two tasks: Crop Type Classification

10 Dec 19, 2022
NLP project that works with news (NER, context generation, news trend analytics)

СоАвтор СоАвтор – платформа и открытый набор инструментов для редакций и журналистов-фрилансеров, который призван сделать процесс создания контента ма

38 Jan 04, 2023
Random-Word-Generator - Generates meaningful words from dictionary with given no. of letters and words.

Random Word Generator Generates meaningful words from dictionary with given no. of letters and words. This might be useful for generating short links

Mohammed Rabil 1 Jan 01, 2022
Comprehensive-E2E-TTS - PyTorch Implementation

A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultima

Keon Lee 114 Nov 13, 2022
AMUSE - financial summarization

AMUSE AMUSE - financial summarization Unzip data.zip Train new model: python FinAnalyze.py --task train --start 0 --count how many files,-1 for all

1 Jan 11, 2022
Code for CVPR 2021 paper: Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning

Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning This is the PyTorch companion code for the paper: A

Amazon 69 Jan 03, 2023
A collection of Korean Text Datasets ready to use using Tensorflow-Datasets.

tfds-korean A collection of Korean Text Datasets ready to use using Tensorflow-Datasets. TensorFlow-Datasets를 이용한 한국어/한글 데이터셋 모음입니다. Dataset Catalog |

Jeong Ukjae 20 Jul 11, 2022
A program that uses real statistics to choose the best times to bet on BloxFlip's crash gamemode

Bloxflip Smart Bet A program that uses real statistics to choose the best times to bet on BloxFlip's crash gamemode. https://bloxflip.com/crash. THIS

43 Jan 05, 2023
A demo of chinese asr

chinese_asr_demo 一个端到端的中文语音识别模型训练、测试框架 具备数据预处理、模型训练、解码、计算wer等等功能 训练数据 训练数据采用thchs_30,

4 Dec 09, 2021