Source: plaso
Section: admin
Priority: optional
Maintainer: Debian Security Tools <team+pkg-security@tracker.debian.org>
Uploaders: Hilko Bengen <bengen@debian.org>
Build-Depends: debhelper (>= 12), dh-python, python, python-setuptools,
 python-yaml (>= 3.10),
 python-xlsxwriter (>= 0.9.3),
 python-artifacts (>= 20170818),
 python-lzma,
 python-biplist (>= 1.0.3),
 python-certifi (>= 2016.9.26),
 python-chardet (>= 2.0.1),
 python-dfdatetime (>= 20180704),
 python-dfvfs (>= 20181209),
 python-dfwinreg (>= 20180712),
 python-dtfabric (>= 20181128),
 python-efilter (>= 1.5),
 python-elasticsearch (>= 5.4.0),
 python-future, python-hachoir-core (>= 1.3.3),
 python-hachoir-metadata (>= 1.3.3),
 python-hachoir-parser (>= 1.3.4),
 python-idna,
 python-libbde (>= 20140531),
 python-libesedb (>= 20150409),
 python-libevt (>= 20120410),
 python-libevtx (>= 20141112),
 python-fsapfs (>= 20181205),
 python-libewf (>= 20131210),
 python-libfsntfs (>= 20151130),
 python-libfvde (>= 20160719),
 python-libfwnt (>= 20160418),
 python-libfwsi (>= 20150606),
 python-liblnk (>= 20150830),
 python-libmsiecf (>= 20150314),
 python-libolecf (>= 20151223),
 python-libqcow (>= 20131204),
 python-libregf (>= 20150315),
 python-libscca (>= 20151226),
 python-libsigscan (>= 20150627),
 python-libsmdev (>= 20140529),
 python-libsmraw (>= 20140612),
 python-libvhdi (>= 20131210),
 python-libvmdk (>= 20140421),
 python-libvshadow (>= 20160109),
 python-libvslvm (>= 20160109),
 python-lz4,
 python-pefile,
 python-psutil (>= 1.2.1),
 python-crypto (>= 2.6),
 python-pyparsing (>= 2.0.3),
 python-dateutil (>= 1.5),
 python-tsk (>= 20160721),
 python-tz,
 python-zmq (>= 2.1.11),
 python-requests (>= 2.2.1),
 python-six (>= 1.1.0),
 python-urllib3,
 python-yara (>= 3.4.0),
Standards-Version: 4.3.0
Homepage: http://plaso.kiddaland.net/
Vcs-Git: https://salsa.debian.org/pkg-security-team/plaso.git
Vcs-Browser: https://salsa.debian.org/pkg-security-team/plaso

Package: plaso
Architecture: all
Depends: ${shlibs:Depends}, ${misc:Depends}, ${python:Depends},
 python-yaml (>= 3.10),
 python-xlsxwriter (>= 0.9.3),
 python-artifacts (>= 20170818),
 python-lzma,
 python-biplist (>= 1.0.3),
 python-certifi (>= 2016.9.26),
 python-chardet (>= 2.0.1),
 python-dfdatetime (>= 20180704),
 python-dfvfs (>= 20181209),
 python-dfwinreg (>= 20180712),
 python-dtfabric (>= 20181128),
 python-efilter (>= 1.5),
 python-elasticsearch (>= 5.4.0),
 python-future, python-hachoir-core (>= 1.3.3),
 python-hachoir-metadata (>= 1.3.3),
 python-hachoir-parser (>= 1.3.4),
 python-idna,
 python-libbde (>= 20140531),
 python-libesedb (>= 20150409),
 python-libevt (>= 20120410),
 python-libevtx (>= 20141112),
 python-fsapfs (>= 20181205),
 python-libewf (>= 20131210),
 python-libfsntfs (>= 20151130),
 python-libfvde (>= 20160719),
 python-libfwnt (>= 20160418),
 python-libfwsi (>= 20150606),
 python-liblnk (>= 20150830),
 python-libmsiecf (>= 20150314),
 python-libolecf (>= 20151223),
 python-libqcow (>= 20131204),
 python-libregf (>= 20150315),
 python-libscca (>= 20151226),
 python-libsigscan (>= 20150627),
 python-libsmdev (>= 20140529),
 python-libsmraw (>= 20140612),
 python-libvhdi (>= 20131210),
 python-libvmdk (>= 20140421),
 python-libvshadow (>= 20160109),
 python-libvslvm (>= 20160109),
 python-lz4,
 python-pefile,
 python-psutil (>= 1.2.1),
 python-crypto (>= 2.6),
 python-pyparsing (>= 2.0.3),
 python-dateutil (>= 1.5),
 python-tsk (>= 20160721),
 python-tz,
 python-zmq (>= 2.1.11),
 python-requests (>= 2.2.1),
 python-six (>= 1.1.0),
 python-urllib3,
 python-yara (>= 3.4.0),
# ipython (>= 1.2.1),
# python-binplist (>= 0.1.4),
# python-construct.legacy | python-construct (<< 2.8),
# python-crypto (>= 2.6.0),
# python-dpkt (>= 1.8),
# python-protobuf,
Description: super timeline all the things
 Plaso (plaso langar að safna öllu) is the Python based back-end
 engine used by tools such as log2timeline for automatic creation of a
 super timelines. The goal of log2timeline (and thus plaso) is to
 provide a single tool that can parse various log files and forensic
 artifacts from computers and related systems, such as network
 equipment to produce a single correlated timeline. This timeline can
 then be easily analysed by forensic investigators/analysts, speeding
 up investigations by correlating the vast amount of information found
 on an average computer system.