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README.md
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README.md
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# Adaptive game assistant
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> [!WARNING]
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> As of 2024, I'm archiving this repository and removing the adaptive game try-out section from the README.md.
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> The information in this README.md was correct as of 2022, but as Vagrant, VirtualBox, Ansible and the applications
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> used in individual games change, I can't guarantee that things will continue to work the way they did.
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> [!NOTE]
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> If you're a lector or an assistant of the PA197 course, you're probably looking for the the PA197 resources in the
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> university Gitlab instead of this repository.
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The adaptive game assistant is a Python program allowing easy deployment and playing of adaptive cybersecurity games.
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When bundled with a compatible game (and a few config files), the assistant
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- (L)og - saves data from the game into a file.
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The project's wiki has a user guide with examples: [Assistant guide](https://github.com/SleepyLili/adaptive-game-assistant/wiki/Assistant-guide)
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## Requirements
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The assistant requires Python 3.7 or higher to run.
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- `hint_giver.py`. The `HintGiver` class keeps tracks of taken hints and gives new ones.
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- `level_selector.py`. The `LevelSelector` class helps decide which level to go to next.
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## Game requirements
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### Ansible tags
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The assistant expects some things of the Ansible playbooks.
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- All tasks should be tagged
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- Tasks for game setup and the first level are tagged `setup`
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- Tasks for level past the first are in the format `level + [number] + [branch, optional]` i.e. "level3", "level4a"
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### Game config files
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Besides tagged ansible playbooks, each adaptive game needs a few config files to work.
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The config files are mostly YAML lists and dicts.
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- `tools.yml`
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More about the config files and their format is on the wiki: [Config files](https://github.com/SleepyLili/adaptive-game-assistant/wiki/Config-files)
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## I want to try out the assistant, but I don't have an adaptive game
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The simplest way to try the assistant out with no access to another adaptive game is:
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1. Download the [thesis archive](https://is.muni.cz/th/mnrr8/thesis-archive.zip) of my Adaptive Cybersecurity Games thesis.
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2. In the archive, replace the `assistant/` folder with the folder of this repository.
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(The assistant included with the thesis is an earlier version.)
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3. Extract `game.zip` from the archive. (So that you have a `game/` folder.)
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4. From the file `game/provisioning/roles/attacker/tasks/main.yml`, delete lines 34-39.
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5. Run the assistant.
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The assistant should run the game included with my thesis using the sample resources files.
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The level instructions for that game are included in the `wiki/` subfolder of the thesis archive you downloaded.
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## Troubleshooting
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All known common problems are in the [troubleshooting](https://github.com/SleepyLili/adaptive-game-assistant/wiki/Troubleshooting) doc on the repository wiki.
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## Possible improvements
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Since the assistant needed to be ready and functional by a deadline,
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there are some features that would have been nice to have, but weren't necessary
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at the moment. Those features include:
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- **A "manual mode" where the user gets to decide next level**
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This would be similar to the original assistant prototype, where the user had the
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teacher tell them what branch they were choosing. It would also simplify some testing
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scenarios.
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- **A "dry run mode" for testing**
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Sometimes, it'd be nice to turn off the assistant's underlying calls to Vagrant,
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to speed up testing of features, config files, etc.
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- **The ability to turn off certain modules**
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In a game without flags, or where flag checking isn't important, the flag
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checker could be turned off, for example.
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- **Better support for branching levels -- arbitrary names, shorter and longer playthroughs**
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The assistant as it is right now expects the levels to have a naming convention, and it also expects that for every possible playthrough, there will always be the same number of levels.
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Removing these constraints would make it possible to support games of variable length, or with entire "replacement" branches, etc.
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14
assistant.py
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assistant.py
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print("Basic commands are:")
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print("(S)tart, (N)ext, (H)elp, (C)heck, (E)xit")
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while True:
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try:
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print("Waiting for your input:")
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command = input()
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command = command.lower()
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give_hint(game, hint_giver)
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else:
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print("Unknown command. Enter another command or try (H)elp.")
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except EOFError:
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print("Unknown command. Enter another command or try (H)elp.")
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print("If you want to exit the assistant, please use the `exit` command.")
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except KeyboardInterrupt:
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print("You sent a keyboard interrupt to the program.")
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print("Would you like to exit?")
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print("This will NOT save your log or end the game. yes/no")
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confirmation = input()
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confirmation = confirmation.lower()
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if confirmation in ("y", "yes"):
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return
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else:
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print("Not exiting. Continuing normal operation.")
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if __name__ == "__main__":
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"Password cracking": "The password appears to be encrypted with a simple MD5 hash. A tool like John the Ripper, which is already installed on the computer, could be used to crack the password."
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"Command line options": 'The arguments you will need to crack the password are "--format=" and "--wordlist="'
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"Database interaction": "Use the [SQL] button in the web shell to interact with log into local databases and interact with them using SQL queries."
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"Solution": "Place the hash in to_crack.txt. Run `john --format=raw-md5 --wordlist=passwords.txt to_crack.txt` to get the password."
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"Solution": "Place to hash in to_crack.txt. Run `john --format=raw-md5 --wordlist=passwords.txt to_crack.txt` to get the password."
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level5:
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level5:
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"Database interaction": "You can communicate with local databases using SQL queries."
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