Construct Active Directory graphs based on design principles and guidelines from Microsoft and cyber experts
ADSynthesizer requires Python 3
Please follow the video below and our Github page to install ADSynth.A realistic Active Directory attack graph generator
Provide realistic AD data
Implement common misconfigrations
Various security levels
Flexible configurations
Overview
Software Architecture of ADSynthesizer
(a) Node generation
(b) Edge generation
(c) Misconfiguration generation
Features
ADSynthesizer facilitates your demand for realistic AD data
Synthetic structure
Build on an abstract model
ADSynthesizer builds graphs on metagraphs with set-to-set-mapping, an intrinsic nature of Active Directory.
Implement common misconfigurations
ADSynthesizer allows simulating various misconfigurations, including privilege escalation, with different probabilities.
Configurations
ADSynthesizer generates AD data at your demand with a set of parameters
| {{value}} | |||
|---|---|---|---|
| {{ object }} | {{ item.Parameter }} | {{ item.Description }} | {{ item.Value }} |
Installation
Usage
ADSynthesizer provides commands to assist the generation process
Please visit our Github page for detailed instructions.
Publications
Please use the following publication for references to ADSynth
Full paper: Nhu Long Nguyen, Nickolas Falkner, and Hung Nguyen. 2024. ADSynth: Synthesizing Realistic Active Directory Attack Graphs. In 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, NJ, USA. [CORE A]
Software Demo: Nguyen, Nhu Long, Nickolas Falkner, and Hung Nguyen. "Synthesizing Realistic Enterprise Active Directory Attack Graphs with ADSynth". Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos. 2024. [CORE A*]
Contact
For further information, please find the listed contact info.
Nhu Long Nguyen (University of Adelaide, South Australia)
Hung Nguyen (University of Adelaide, South Australia)