CITATION.cff

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cff-version: 1.2.0
title: Volatility 3
message: >-
  If you reference this software, please feel free to cite
  it using the information below.
type: software
authors:
  - name: Volatility Foundation
    country: US
    website: 'https://www.volatilityfoundation.org/'
identifiers:
  - type: url
    value: 'https://github.com/volatilityfoundation/volatility3'
    description: Volatility 3 source code repository
repository-code: 'https://github.com/volatilityfoundation/volatility3'
url: 'https://github.com/volatilityfoundation/volatility3'
abstract: >-
  Volatility is the world's most widely used framework for
  extracting digital artifacts from volatile memory (RAM)
  samples. The extraction techniques are performed
  completely independent of the system being investigated
  but offer visibility into the runtime state of the system.
  The framework is intended to introduce people to the
  techniques and complexities associated with extracting
  digital artifacts from volatile memory samples and provide
  a platform for further work into this exciting area of
  research.
keywords:
  - malware
  - forensics
  - memory
  - python
  - ram
  - volatility