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Classification |
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.github/workflows | 3 years ago | |
app | 3 years ago | |
doc | 3 years ago | |
plugins | 3 years ago | |
systems | 3 years ago | |
templates | 3 years ago | |
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CONTRIBUTING.txt | 3 years ago | |
CONTRIBUTORS.txt | 4 years ago | |
LICENSE.txt | 3 years ago | |
Makefile | 3 years ago | |
README.md | 3 years ago | |
caldera_control.py | 4 years ago | |
caldera_subset_classic.txt | 4 years ago | |
detect.py | 3 years ago | |
doc_generator.py | 3 years ago | |
experiment_control.py | 3 years ago | |
hello_world.yaml | 3 years ago | |
init.sh | 3 years ago | |
machine_control.py | 3 years ago | |
metasploit_control.py | 3 years ago | |
plugin_manager.py | 3 years ago | |
pydantic_test.py | 3 years ago | |
pylint.rc | 3 years ago | |
requirements.txt | 3 years ago | |
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README.md
PurpleDome creates simulated systems which hack each other
It creates several virtual machines to simulate a target network. A Kali attacker will be spawned and use configured attacks to blast at the targets. Those attacks can be Kali command line tools, Caldera abilities or Metasploit tools.
The goal is to test sensors and detection logic on the targets and in the network and improve them.
The system is at the same time reproducible and quite flexible (target system wise, vulnerabilities on the targets, attacks).
Installation
On a current Ubuntu 21.10 system, just execute the init.sh to install the required packages and set up the virtual env.
You need python 3.9 (which is part of this Ubuntu)
And it will not run properly in a VM as it spawns its own VMs ... unless VT-x is available. We confirmed it is working in VirtualBox. Please reserve enough disk space. The simple hello_world will already download a kali and an ubuntu image. They must be stored on your VM.
./init.sh
Default vm will be vagrant and virtualbox
Before using any PurpleDome commands switch into the python environment:
source venv/bin/activate
My first experiment
Run and be very patient. The first time it runs it will build target and attacker VMs which is time consuming and will need some bandwidth.
python3 ./experiment_control.py -vvv run --configfile hello_world.yaml
This will:
- Use vagrant to generate attacker and target
- run them
- run several attacks from the attacker to the target
- zip sensor logs and attack logs together
Building the machines from vagrant will take some time ont he first run. Please be patient.
After the experiment ran, open the zip file with the attack log and all the sensor logs:
file-roller loot/2021_11_11___12_13_14/2021_11_11___12_13_14.zip
or jump directly into the human readable attack log
evince tools/human_readable_documentation/build/latex/purpledomesimulation.pdf
(which is included in the zip as well)
Fixing issues
Machine creation
One of the big steps is creation of attacker and target machines. If this fails, you can do the step manually and check why it fails.
cd systems
vagrant up attacker
vagrant up target3
vagrant ssh attacker
# do someting
exit
vagrant ssh target
# do something
exit
vagrant destroy target3
vagrant destroy attacker
Caldera issues
The caldera server is running on the attacker. It will be contacted by the implants installed on the client and remote controlled by PurpleDome using a REST Api. This can be tested using curl:
curl -H 'KEY: ADMIN123' http://attacker:8888/api/rest -H 'Content-Type: application/json' -d '{"index":"adversaries"}'
If there are errors, connect to the attacker using ssh and monitor the server while contacting it. Maybe kill it first.
cd caldera
python3 server.py --insecure
Running the basic commands
All command line tools have a help included. You can access it by the "--help" parameter
python3 ./experiment_control.py -v run
- -v is verbosity. To spam stdout use -vvv
- run is the default command
- --configfile is optional. If not supplied it will take experiment.yaml
Most of the configuration is done in the yaml config file. For more details check out the full documentation
Testing
Basic code and unit tests can be run by
make test
That way you can also see if your env is set up properly.
It will also check the plugins you write for compatibility.
the tool
./pydantic_test.py
is not included in the make test. But you can use it manually to verify your yaml config files. As they tend to become quite complex this is a time safer.
More documentation
This README is just a short overview. In depth documentation can be found in the doc folder.
Documentation is using sphinx. To compile it, go into this folder and call
make html
Use your browser to open build/html/index.html and start reading.
Development
The code is stored in https://github.com/avast/PurpleDome. Feel free to fork it and create a pull request.
Development happens in feature branches branched of from develop branch. And all PRs go back there. The branch release is a temporary branch from develop and will be used for bug fixing before a PR to main creates a new release. Commits in main will be marked with tags and the changelog.txt file in human readable form describe the new features.
https://nvie.com/posts/a-successful-git-branching-model/
Short:
- As a user, the main branch is relevant for you
- Start a feature branch from develop
- When doing a hotfix, branch from main
GIT
Branching your own feature branch
$ git checkout development
$ git pull --rebase=preserve
$ git checkout -b my_feature
Do some coding, commit.
Rebase before pushing
$ git checkout development
$ git pull --rebase=preserve
$ git checkout my_feature
$ git rebase development
Code review will be happening on github. If everything is nice, you should squash the several commits you made into one (so one commit = one feature). This will make code management and debugging a lot simpler when you commit is added to develop and main branches
git rebase --interactive
git push --force