Package: plaso
Version: 1.5.1+dfsg-4
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Forensics <forensics-devel@lists.alioth.debian.org>
Installed-Size: 9516
Depends: python:any (<< 2.8), python:any (>= 2.7.5-5~), ipython (>= 1.2.1), python-artifacts (>= 20150409), python-binplist (>= 0.1.4), python-bittorrent, python-construct.legacy | python-construct (<< 2.8), python-crypto (>= 2.6.0), python-dateutil (>= 1.5), python-dfdatetime (>= 20160319), python-dfvfs (>= 20160803), python-dfwinreg (>= 20160320), python-dpkt (>= 1.8), python-hachoir-core (>= 1.3.3), python-hachoir-metadata (>= 1.3.3), python-hachoir-parser (>= 1.3.4), python-libbde (>= 20140531), python-libesedb (>= 20150409), python-libevt (>= 20120410), python-libevtx (>= 20141112), 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-pefile, python-protobuf, python-psutil (>= 1.2.1), python-pyparsing (>= 2.0.3), python-requests (>= 2.2.1), python-six (>= 1.1.0), python-tsk (>= 20160721), python-tz, python-xlsxwriter (>= 0.9.3), python-yaml (>= 3.10), python-yara (>= 3.4.0), python-zmq (>= 2.1.11), python-efilter (>= 1.5)
Section: admin
Priority: optional
Homepage: http://plaso.kiddaland.net/
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.
