Sheepl: Creating realistic user behaviour for supporting tradecraft development within lab environments
There are lots of resources available online relating to how you can build AD network environments for the development of the blue team and red team tradecraft. However, the current solutions tend to lack one important aspect in representing real-world network configurations. A network is not just a collection of static endpoints, it is a platform for communication between people.
Sheepl is a tool that aims to bridge the gap by emulating the behaviour that people normally undertake within a network environment. Using Python3 and AutoIT3 the output can be compiled into a standalone executable without any other dependencies that when executed on a Windows endpoint, executes a set of tasks randomly over a chosen time frame.
For red teamers, this can serve to present those moments of opportunity to practice tradecraft. For blue teamers, this supports focusing on detection of malicious activity indicators inside a sequence of benign user tasks.
Sheepl has two modes, commandline and interactive where commandline can be used as part of a wider scripting solution and interactive allows you to build tasks in a question/response approach.
- Dynamic task importing and reloading
- New command line interface
- Encapsulated class based functionality
- JSON format profiles to support scripting pipeline
- Built in task template for boiler plate code
- Support for subtasking for specific modules i.e. RemoteDesktop
- Additional logic checks for discarding tasks, previous output and task completion
git clone https://github.com/SpiderLabs/sheepl.git
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