DC Sonar Community

Repositories

The project consists of repositories:

• dc-sonar-frontend
• dc-sonar-user-layer
• dc-sonar-workers-layer
• ntlm-scrutinizer

Disclaimer

It's only for education purposes.

Avoid using it on the production Active Directory (AD) domain.

Neither contributor incur any responsibility for any using it.

Social media

Check out our Red Team community Telegram channel

Description

Architecture

For the visual descriptions, open the diagram files using the diagrams.net tool.

The app consists of:

• The dc-sonar-frontend is the fronted part of the user web interface bases on:
  • Angular
  • Angular Material
• The dc-sonar-user-layer is the backend part of the web app bases on:
  • Python 3.10
  • Django
  • Django ORM
  • Django REST framework
  • Celery
  • RabbitMQ
  • PostgreSQL
• The dc-sonar-workers-layer is the logic layer that performs and runs analyzing processes which base on:
  • Python 3.10
  • SQLAlchemy
  • Alembic
  • APScheduler
  • RabbitMQ
  • PostgreSQL
• The ntlm-scrutinizer is the NTLM hashes performer with REST API based on:
• Python 3.10
• FastAPI
• hashcat
• impacket

Functionallity

The DC Sonar Community provides functionality for analyzing AD domains for security risks related to accounts:

• Register analyzing AD domain in the app

  

• See the statuses of domain analyzing processes

  

• Dump and brute NTLM hashes from set AD domains to list accounts with weak and vulnerable passwords

  

• Analyze AD domain accounts to list ones with never expire passwords

  

• Analyze AD domain accounts by their NTLM password hashes to determine accounts and domains where passwords repeat

  

Installation

Docker

In progress ...

Manually using dpkg

It is assumed that you have a clean Ubuntu Server 22.04 and account with the username "user".

The app will install to /home/user/dc-sonar.

The next releases maybe will have a more flexible installation.

Download dc_sonar_NNNN.N.NN-N_amd64.tar.gz from the last distributive to the server.

Create a folder for extracting files:

mkdir dc_sonar_NNNN.N.NN-N_amd64

Extract the downloaded archive:

tar -xvf dc_sonar_NNNN.N.NN-N_amd64.tar.gz -C dc_sonar_NNNN.N.NN-N_amd64

Go to the folder with the extracted files:

cd dc_sonar_NNNN.N.NN-N_amd64/

Install PostgreSQL:

sudo bash install_postgresql.sh

Install RabbitMQ:

sudo bash install_rabbitmq.sh

Install dependencies:

sudo bash install_dependencies.sh

It will ask for confirmation of adding the ppa:deadsnakes/ppa repository. Press Enter.

Install dc-sonar itself:

sudo dpkg -i dc_sonar_NNNN.N.NN-N_amd64.deb

It will ask for information for creating a Django admin user. Provide username, mail and password.

It will ask for information for creating a self-signed SSL certificate twice. Provide required information.

Open: https://localhost

Enter Django admin user credentials set during the installation process before.

Style guide

See the information in STYLE_GUIDE.md

Deployment for development

Docker

In progress ...

Manually using Windows host and Ubuntu Server guest

In this case, we will set up the environment for editing code on the Windows host while running Python code on the Ubuntu guest.

Set up the virtual machine

Create a virtual machine with 2 CPU, 2048 MB RAM, 10GB SSD using Ubuntu Server 22.04 iso in VirtualBox.

If Ubuntu installer asks for updating ubuntu installer before VM's installation - agree.

Choose to install OpenSSH Server.

VirtualBox Port Forwarding Rules:

Config Window

Download and install Python 3.10.5.

Create a folder for the DC Sonar project.

Go to the project folder using Git for Windows:

cd '{PATH_TO_FOLDER}'

Make Windows installation steps for dc-sonar-user-layer.

Make Windows installation steps for dc-sonar-workers-layer.

Make Windows installation steps for ntlm-scrutinizer.

Make Windows installation steps for dc-sonar-frontend.

Set shared folders

Make steps from "Open VirtualBox" to "Reboot VM", but add shared folders to VM VirtualBox with "Auto-mount", like in the picture below:

After reboot, run command:

sudo adduser $USER vboxsf

Perform logout and login for the using user account.

In /home/user directory, you can use mounted folders:

ls -l

Output:total 12drwxrwx--- 1 root vboxsf 4096 Jul 19 13:53 dc-sonar-user-layerdrwxrwx--- 1 root vboxsf 4096 Jul 19 10:11 dc-sonar-workers-layerdrwxrwx--- 1 root vboxsf 4096 Jul 19 14:25 ntlm-scrutinizer

Config Ubuntu Server

Config PostgreSQL

Install PostgreSQL on Ubuntu 20.04:

sudo apt updatesudo apt install postgresql postgresql-contribsudo systemctl start postgresql.service

Create the admin database account:

sudo -u postgres createuser --interactive

Output:Enter name of role to add: adminShall the new role be a superuser? (y/n) y

Create the dc_sonar_workers_layer database account:

sudo -u postgres createuser --interactive

Output:Enter name of role to add: dc_sonar_workers_layerShall the new role be a superuser? (y/n) nShall the new role be allowed to create databases? (y/n) nShall the new role be allowed to create more new roles? (y/n) n

Create the dc_sonar_user_layer database account:

sudo -u postgres createuser --interactive

Output:Enter name of role to add: dc_sonar_user_layerShall the new role be a superuser? (y/n) nShall the new role be allowed to create databases? (y/n) nShall the new role be allowed to create more new roles? (y/n) n

Create the back_workers_db database:

sudo -u postgres createdb back_workers_db

Create the web_app_db database:

sudo -u postgres createdb web_app_db

Run the psql:

sudo -u postgres psql

Set a password for the admin account:

ALTER USER admin WITH PASSWORD '{YOUR_PASSWORD}';

Set a password for the dc_sonar_workers_layer account:

ALTER USER dc_sonar_workers_layer WITH PASSWORD '{YOUR_PASSWORD}';

Set a password for the dc_sonar_user_layer account:

ALTER USER dc_sonar_user_layer WITH PASSWORD '{YOUR_PASSWORD}';

Grant CRUD permissions for the dc_sonar_workers_layer account on the back_workers_db database:

\c back_workers_dbGRANT CONNECT ON DATABASE back_workers_db to dc_sonar_workers_layer;GRANT USAGE ON SCHEMA public to dc_sonar_workers_layer;GRANT ALL ON ALL TABLES IN SCHEMA public TO dc_sonar_workers_layer;GRANT ALL ON ALL SEQUENCES IN SCHEMA public TO dc_sonar_workers_layer;GRANT ALL ON ALL FUNCTIONS IN SCHEMA public TO dc_sonar_workers_layer;

Grant CRUD permissions for the dc_sonar_user_layer account on the web_app_db database:

\c web_app_dbGRANT CONNECT ON DATABASE web_app_db to dc_sonar_user_layer;GRANT USAGE ON SCHEMA public to dc_sonar_user_layer;GRANT ALL ON ALL TABLES IN SCHEMA public TO dc_sonar_user_layer;GRANT ALL ON ALL SEQUENCES IN SCHEMA public TO dc_sonar_user_layer;GRANT ALL ON ALL FUNCTIONS IN SCHEMA public TO dc_sonar_user_layer;

Exit of the psql:

\q

Open the pg_hba.conf file:

sudo nano /etc/postgresql/12/main/pg_hba.conf

Add the line for the connection to allow the connection from the host machine to PostgreSQL, save changes and close the file:

# IPv4 local connections:host    all             all             127.0.0.1/32            md5host    all             admin           0.0.0.0/0               md5

Open the postgresql.conf file:

sudo nano /etc/postgresql/12/main/postgresql.conf

Change specified below params, save changes and close the file:

listen_addresses = 'localhost,10.0.2.15'shared_buffers = 512MBwork_mem = 5MBmaintenance_work_mem = 100MBeffective_cache_size = 1GB

Restart the PostgreSQL service:

sudo service postgresql restart

Check the PostgreSQL service status:

service postgresql status

Check the log file if it is needed:

tail -f /var/log/postgresql/postgresql-12-main.log

Now you can connect to created databases using admin account and client such as DBeaver from Windows.

Config RabbitMQ

Install RabbitMQ using the script.

Enable the management plugin:

sudo rabbitmq-plugins enable rabbitmq_management

Create the RabbitMQ admin account:

sudo rabbitmqctl add_user admin {YOUR_PASSWORD}

Tag the created user for full management UI and HTTP API access:

sudo rabbitmqctl set_user_tags admin administrator

Open management UI on http://localhost:15672/.

Install Python3.10

Ensure that your system is updated and the required packages installed:

sudo apt update && sudo apt upgrade -y

Install the required dependency for adding custom PPAs:

sudo apt install software-properties-common -y

Then proceed and add the deadsnakes PPA to the APT package manager sources list as below:

sudo add-apt-repository ppa:deadsnakes/ppa

Download Python 3.10:

sudo apt install python3.10=3.10.5-1+focal1

Install the dependencies:

sudo apt install python3.10-dev=3.10.5-1+focal1 libpq-dev=12.11-0ubuntu0.20.04.1 libsasl2-dev libldap2-dev libssl-dev

Install the venv module:

sudo apt-get install python3.10-venv

Check the version of installed python:

python3.10 --versionOutput:Python 3.10.5

Hosts

Add IP addresses of Domain Controllers to /etc/hosts

sudo nano /etc/hosts

Layers

Set venv

We have to create venv on a level above as VM VirtualBox doesn't allow us to make it in shared folders.

Go to the home directory where shared folders located:

cd /home/user

Make deploy steps for dc-sonar-user-layer on Ubuntu.

Make deploy steps for dc-sonar-workers-layer on Ubuntu.

Make deploy steps for ntlm-scrutinizer on Ubuntu.

Config modules

Make config steps for dc-sonar-user-layer on Ubuntu.

Make config steps for dc-sonar-workers-layer on Ubuntu.

Make config steps for ntlm-scrutinizer on Ubuntu.

Run

Make run steps for ntlm-scrutinizer on Ubuntu.

Make run steps for dc-sonar-user-layer on Ubuntu.

Make run steps for dc-sonar-workers-layer on Ubuntu.

Make run steps for dc-sonar-frontend on Windows.

Open https://localhost:8000/admin/ in a browser on the Windows host and agree with the self-signed certificate.

Open https://localhost:4200/ in the browser on the Windows host and login as created Django user.