Copyright 2019 George Louthan, Brady Deetz, and SWCCDC. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
This module operates the park fences at Triassic Park for the Southwest
Regional Collegiate Cyber Defense Competition. It has two parts: the
Park Control Console, which is the CLI and either accessibly locally,
or by running the telnet
subcommand to expose it over telnet; and a
simple flask webservice used to score and/or degrade the fences.
Persistence to disk is optional via the -f
flag. It uses flat files
with Python's pickle module, so thread-safety and concurrency is not
guaranteed (rather the opposite, as a matter of fact).
- Python 3.7 or higher
- Linux, for the telnet server (Windows works for the local version)
- All the python modules in
requirements.txt
- Root access, to use ports 23 and 80.
-
triassic_shell.py
- The shell itself. Run this directly. See its help command (python triassic_shell.py -h
) for details. -
triassic_scoring.py
- The web service - run directly. See its help command (python triassic_shell.py -h
) for details. -
prompt_command.py
andtriassic_prompts.py
- These implement most of the behavior of the CLI, using the Prompt Toolkit library. -
data_model.py
- The data model. -
telnet/
- A patched version of Prompt Toolkit's built-in telnet server to make it a little bit more robust and allow errors to be passed up to the main server outer loop. -
degrade_step.py
- Run this every minute to degrade the fences that are failing. -
requirements.py
- A list of dependencies to install with pip.