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mistralai/Mistral-7B-Instruct-v0.3 specialized for Task 1: STIX Entity Detection. It has been trained on the QCRI/AZERG-Dataset to identify CTI-related entities (e.g., malware names, threat actors, vulnerabilities) in unstructured text.Instruction:
You are a helpful threat intelligence analyst. Your task is to extract all STIX entities mentioned in the input. To help you, here is a list of the possible STIX entity types.
STIX entity types:
- ATTACK_PATTERN: A type of TTP that describes ways that adversaries attempt to compromise targets. (e.g., T1051, T1548.001, etc.)
[...]
Answer in the following format: <entities>LIST OF IDENTIFIED ENTITIES SEPARATED BY PIPE |</entities>
Input:
- Text Passage: [INPUT TEXT]
Response:@article{lekssays2025azerg,
title={From Text to Actionable Intelligence: Automating STIX Entity and Relationship Extraction},
author={Lekssays, Ahmed and Sencar, Husrev Taha and Yu, Ting},
journal={arXiv preprint arXiv:2507.16576},
year={2025}
}