#2257: rearrange software pages + creating a list of applications and services which is hopefully a single point that should be referred to
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© Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
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DataManipulationBot
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===================
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The ``DataManipulationBot`` class provides functionality to connect to a ``DatabaseService`` and execute malicious SQL statements.
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Overview
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--------
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The bot is intended to simulate a malicious actor carrying out attacks like:
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- Dropping tables
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- Deleting records
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- Modifying data
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on a database server by abusing an application's trusted database connectivity.
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The bot performs attacks in the following stages to simulate the real pattern of an attack:
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- Logon - *The bot gains credentials and accesses the node.*
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- Port Scan - *The bot finds accessible database servers on the network.*
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- Attacking - *The bot delivers the payload to the discovered database servers.*
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Each of these stages has a random, configurable probability of succeeding (by default 10%). The bot can also be configured to repeat the attack once complete.
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Usage
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-----
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- Create an instance and call ``configure`` to set:
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- Target database server IP
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- Database password (if needed)
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- SQL statement payload
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- Probabilities for succeeding each of the above attack stages
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- Call ``run`` to connect and execute the statement.
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The bot handles connecting, executing the statement, and disconnecting.
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In a simulation, the bot can be controlled by using ``DataManipulationAgent`` which calls ``run`` on the bot at configured timesteps.
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Example
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-------
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.. code-block:: python
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client_1 = Computer(
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hostname="client_1",
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ip_address="192.168.10.21",
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subnet_mask="255.255.255.0",
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default_gateway="192.168.10.1"
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operating_state=NodeOperatingState.ON # initialise the computer in an ON state
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)
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network.connect(endpoint_b=client_1.network_interface[1], endpoint_a=switch_2.network_interface[1])
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client_1.software_manager.install(DataManipulationBot)
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data_manipulation_bot: DataManipulationBot = client_1.software_manager.software.get("DataManipulationBot")
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data_manipulation_bot.configure(server_ip_address=IPv4Address("192.168.1.14"), payload="DELETE")
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data_manipulation_bot.run()
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This would connect to the database service at 192.168.1.14, authenticate, and execute the SQL statement to drop the 'users' table.
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Example with ``DataManipulationAgent``
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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If not using the data manipulation bot manually, it needs to be used with a data manipulation agent. Below is an example section of configuration file for setting up a simulation with data manipulation bot and agent.
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.. code-block:: yaml
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game_config:
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# ...
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agents:
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- ref: data_manipulation_red_bot
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team: RED
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type: RedDatabaseCorruptingAgent
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observation_space:
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type: UC2RedObservation
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options:
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nodes:
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- node_ref: client_1
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observations:
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- logon_status
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- operating_status
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applications:
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- application_ref: data_manipulation_bot
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observations:
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operating_status
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health_status
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folders: {}
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action_space:
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action_list:
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- type: DONOTHING
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- type: NODE_APPLICATION_EXECUTE
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options:
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nodes:
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- node_ref: client_1
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applications:
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- application_ref: data_manipulation_bot
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max_folders_per_node: 1
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max_files_per_folder: 1
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max_services_per_node: 1
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reward_function:
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reward_components:
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- type: DUMMY
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agent_settings:
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start_settings:
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start_step: 25
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frequency: 20
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variance: 5
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# ...
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simulation:
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network:
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nodes:
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- ref: client_1
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type: computer
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# ... additional configuration here
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applications:
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- ref: data_manipulation_bot
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type: DataManipulationBot
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options:
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port_scan_p_of_success: 0.1
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data_manipulation_p_of_success: 0.1
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payload: "DELETE"
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server_ip: 192.168.1.14
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Implementation
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--------------
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The bot extends ``DatabaseClient`` and leverages its connectivity.
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- Uses the Application base class for lifecycle management.
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- Credentials, target IP and other options set via ``configure``.
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- ``run`` handles connecting, executing statement, and disconnecting.
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- SQL payload executed via ``query`` method.
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- Results in malicious SQL being executed on remote database server.
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