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Port details
py-volatility3 Advanced memory forensics framework
g20200117 security on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port Version of this port present on the latest quarterly branch.
Maintainer: antoine@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2020-01-21 10:01:15
Last Update: 2020-01-21 10:01:06
SVN Revision: 523711
Also Listed In: python
License: VSL
Description:
SVNWeb : Homepage

There is no configure plist information for this port.

Dependency lines:
  • py37-volatility3>0:security/py-volatility3
To install the port: cd /usr/ports/security/py-volatility3/ && make install clean
To add the package: pkg install py37-volatility3
PKGNAME: py37-volatility3
Package flavors (<flavor>: <package>)
  • py37: py37-volatility3
distinfo:

Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. py37-setuptools>0 : devel/py-setuptools@py37
  2. python3.7 : lang/python37
Runtime dependencies:
  1. ca_root_nss>=0 : security/ca_root_nss
  2. py37-capstone>=0 : devel/py-capstone@py37
  3. py37-jsonschema>=0 : devel/py-jsonschema@py37
  4. py37-pefile>=0 : devel/py-pefile@py37
  5. py37-yara>=0 : security/py-yara@py37
  6. py37-setuptools>0 : devel/py-setuptools@py37
  7. python3.7 : lang/python37
There are no ports dependent upon this port

Configuration Options

USES:

Master Sites:
  1. https://codeload.github.com/volatilityfoundation/volatility3/tar.gz/9fe6e6b?dummy=/

Number of commits found: 1

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
21 Jan 2020 10:01:06
Original commit files touched by this commit  g20200117
Revision:523711
antoine search for other commits by this committer
New port: security/py-volatility3

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.

WWW: http://www.volatilityfoundation.org/

Number of commits found: 1

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