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

(NTLM) Cleartext password
(NTLM) Pass-the-hash
(Kerberos) Cleartext password
(Kerberos) Pass-the-key / Overpass-the-hash
(Kerberos) Pass-the-cache (type of Pass-the-ticket)

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.

Kerberoast with ACL abuse capabilities

Related tags

Overview

targetedKerberoast

Usage

Credits and references

Owner

Shutdown

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context

Sapiens is a human antibody language model based on BERT.

Code for the paper "A Simple but Tough-to-Beat Baseline for Sentence Embeddings".

A method to generate speech across multiple speakers

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

My Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks using Tensorflow

The projects lets you extract glossary words and their definitions from a given piece of text automatically using NLP techniques

Extract rooms type, door, neibour rooms, rooms corners nad bounding boxes, and generate graph from rplan dataset

ZUNIT - Toward Zero-Shot Unsupervised Image-to-Image Translation

Random Directed Acyclic Graph Generator

Open source code for AlphaFold.

Mednlp - Medical natural language parsing and utility library

Search-Engine - 📖 AI based search engine

Pytorch-Named-Entity-Recognition-with-BERT

Build Text Rerankers with Deep Language Models

Global Rhythm Style Transfer Without Text Transcriptions

UniSpeech - Large Scale Self-Supervised Learning for Speech

Code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation".

Generating new names based on trends in data using GPT2 (Transformer network)

SimpleChinese2 集成了许多基本的中文NLP功能，使基于 Python 的中文文字处理和信息提取变得简单方便。