TTPHunter-Automated-Extraction-of-Actionable-Intelligence-as-TTPs-from-Narrative-Threat-Reports

This repo contains output of our paper titled "TTPHunter: Automated Extraction of Actionable Intelligence as TTPs from Narrative Threat Reports". The paper is available at: https://dl.acm.org/doi/abs/10.1145/3579375.3579391

Step1:

Download the Model files using this link

Step2:

Place the files in a directory and name the directory as "MODEL"

Step3:

Run the Jupyter notebook

Note:

If you are using content of this repository in any capacity, kindly cite this work.

Rani, N., Saha, B., Maurya, V., & Shukla, S. K. (2023). TTPHunter: Automated Extraction of Actionable Intelligence as TTPs from Narrative Threat Reports. In Proceedings of the 2023 Australasian Computer Science Week (pp. 126-134).

Bibtex @incollection{rani2023ttphunter, title={TTPHunter: automated extraction of actionable intelligence as TTPs from narrative threat reports}, author={Rani, Nanda and Saha, Bikash and Maurya, Vikas and Shukla, Sandeep Kumar}, booktitle={Proceedings of the 2023 Australasian Computer Science Week}, pages={126--134}, year={2023} }

Connected Research

• Explore the extended research titled "TTPXHunter-Actionable-Threat-Intelligence-Extraction-as-TTPs-from-Finished-Cyber-Threat-Reports". The paper can be accessed at this link. The model, and inference code are available on GitHub at this repository.