OSSEM – Open Source Security Events Metadata

OSSEM – Open Source Security Events Metadata

OSSEM – Open Source Security

The Open Source Security Events Metadata (OSSEM) is a community-led project that focuses primarily on the documentation and standardization of security event logs from diverse data sources and operating systems. Security events are documented in a dictionary format and can be used as a reference for projects like the ThreatHunter-Playbook
while mapping data sources to data analytics also used to validate the detection of adversarial techniques. In addition, the project provides a common information model (CIM) that can be used for data engineers during data normalization
procedures to allow security analysts to query and then analyze data across diverse data sources. Finally, the project also
provides docu mentation about the structure and relationships identified in specific data sources to facilitate the
development of data analytics.

Project Structure
There are four main folders:

  • Common Information Model (CIM):

  • Facilitates the normalization of data sets by providing a standard way to parse security event logs
    • It is organized by specific entities associated with event logs and defined in more details by Data Dictionaries
    • The definitions of each entity and its respective field names are mostly general descriptions that could help and expedite event logs parsing procedures.


  • Data Dictionaries:

  • Contains specific information about several security event logs organized by operating system and their respective data sets
    • Each dictionary describes a single event log and its also corresponding event field names
    • The difference between the Common Information Model folder and also the data dictionaries is that in the CIM the field definitions are more general whereas in a data dictionary, each field name definition is unique to the specific event log.Detection

Data Model:

  • Focuses on defining the required data in form of data objects and then the relationships among each other needed to facilitate the creation of data analytics and validate the detection of adversary techniques
    • This is inspired by the awesome work of MITRE with their project CAR Analytics
    • The information also needed for each data object is pulled from the entities defined in the Common Information Model
  • ATTACK Data Sources:

  •  Focuses on the documentation of data sources suggested or associated with techniques defined in the Enterprise Matrix
    • In addition, here is where data sources will be mapped with specific data objects defined in the Detection Data Model part of the project with the main goal of creating a link between techniques, data sources and data analytics
  • Download: https://github.com/hunters-forge/OSSEM

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