Turbinia

Turbinia is an open-source framework for automating the running of common forensic processing tools to help with processing evidence in the Cloud.

771

Security Operations

0

Turbinia

Turbinia is an open-source framework for automating the running of common forensic processing tools to help with processing evidence in the Cloud.

Security Operations•Digital Forensics and Incident Response

Digital Forensics

771stars

GitHub Stars

05 Sep

Last commit

0

Updated 12 Oct 25

Turbinia Description

Turbinia is an open-source framework for deploying, managing, and running distributed forensic workloads. It automates the running of common forensic processing tools to help with processing evidence in the Cloud, scaling the processing of large amounts of evidence, and decreasing response time by parallelizing processing. Turbinia is composed of different components for the client, server, and workers, which can be run in the Cloud, on local machines, or as a hybrid of both. The client makes requests to process evidence to the server, which creates logical jobs and schedules forensic processing tasks to be run by the workers. Evidence is split up by the jobs when possible, and many tasks can be created to process the evidence in parallel. Workers run continuously to process tasks, and any new evidence created or discovered by the tasks is fed back into Turbinia for further processing.

Turbinia Description

Turbinia is an open-source framework for deploying, managing, and running distributed forensic workloads. It automates the running of common forensic processing tools to help with processing evidence in the Cloud, scaling the processing of large amounts of evidence, and decreasing response time by parallelizing processing. Turbinia is composed of different components for the client, server, and workers, which can be run in the Cloud, on local machines, or as a hybrid of both. The client makes requests to process evidence to the server, which creates logical jobs and schedules forensic processing tasks to be run by the workers. Evidence is split up by the jobs when possible, and many tasks can be created to process the evidence in parallel. Workers run continuously to process tasks, and any new evidence created or discovered by the tasks is fed back into Turbinia for further processing.

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