Yeti – forensics intelligence platform for CTI and DFIR

Yeti is a forensics intelligence platform intended to bridge cyber threat intelligence and digital forensics and incident response.

It is built around practical investigation questions such as where a particular artifact has previously appeared, or which indicators and forensic traces are associated with a known threat. The platform lets CTI teams maintain structured intelligence while giving DFIR practitioners a searchable backend that can connect threats, observables, tactics, techniques and investigation artifacts. Its emphasis is on making intelligence directly useful during forensic work rather than treating it solely as a repository.

This is free and open source software.

Key Features

• Bulk observable searches to identify likely threat context and useful investigative leads.
• Threat-centred views that expose related TTPs, malware and DFIR artifacts.
• Storage for technical and tactical intelligence including observables, campaigns and techniques.
• Backend support for DFIR-oriented queries involving YARA signatures, Sigma rules and DFIQ.
• Web API for automated queries from incident management systems and other security tooling.
• Enrichment workflows suitable for integration with malware analysis and investigative pipelines.
• Extensible architecture for adding custom data sources, analytics and processing logic.
• User-defined export formats for feeding intelligence into SIEM and DFIR platforms.
• Ability to combine internally generated intelligence with information collected from external systems.
• Search workflows that help analysts pivot from an artifact to associated threats and from a threat back to evidence.

Website: github.com/yeti-platform/yeti
Support:
Developer: Yeti Platform
License: Apache License 2.0

Yeti is written in Python. Learn Python with our recommended free books and free tutorials.

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