Cyber Threat Intelligence (CTI) sharing is a way security professionals and threat analysts can freely access and share information to tackle emerging cyber threats. CTI information can be found in various textual sources such as threat reports, blog posts and online forums, however, there is an increasing centre of attention towards automatic extraction and information retrieval of CTI knowledge. In this study, we evaluate existing ontologies that have worked towards automatic CTI extraction, then we investigate the mechanisms used to extract CTI information automatically. Our contribution is in constructing a pipeline used to develop a training dataset from disparate data sources that can predict tactics and techniques based from the MITRE ATT&CK framework.
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