Linux Forensics Tools Repository: Package Summary for Packages on September 11, 2015:

  • fmem-kernel-modules-fc21-{i686,x86_64}-1.6-1.24.noarch.rpm - Support for the following kernels were added for Fmem:
    • 4.1.6-100 for FC21

  • lime-kernel-modules-fc21-{i686,x86_64}-1.1.r17-24.noarch.rpm - Support for the following kernels were added for LiME:
    • 4.1.6-100 for FC21

  • libvhdi{,-devel,-python,-tools}-20150905-1.(fc17,fc18,fc19,fc20,fc21,fc22,el5,el6,el7}.{i686,x86_64}.rpm - Libvhdi is a library and tools to access the Virtual Hard Disk (VHD) image format. Note that this project has an experimental status. See here for the list of supported disk formats.
  • libpff-20131028-2.{fc17,fc18,fc19,fc20,fc21,el5,el6,el7}.{i386,x86_64}.rpm - Libpff is a library and tools to access the Personal Folder File (PFF) and the Offline Folder File (OFF) format. PFF is used in PAB (Personal Address Book), PST (Personal Storage Table) and OST (Offline Storage Table) files. Static and dynamic versions of the libraries are provided. Libpff is used by DFF - the Digital Forensics Framework. See here for the list of changes. This version was rebuilt to reference libbfio externally rather than the internal version provided with libpff.
  • ffmpeg{-libs,-devel}-2.6.4-1.fc22.{i686,x86_64}.rpm - FFmpeg is a complete, cross-platform solution to record, convert and stream audio and video. It includes libavcodec - the leading audio/video codec library. These packages have been made available in are support of dff.
  • libavdevice-2.6.4-1.fc22.{i686,x86_64}.rpm - Libavdevice is a complementary library to libavf "libavformat". It provides various "special" platform-specific muxers and demuxers, e.g. for grabbing devices, audio capture and playback etc. These packages have been made available in are support of dff.
  • dff-1.3.5.20150908-2.{fc17,fc18,fc19,fc20,fc21,fc22,el7}.{i686,x86_64}.rpm - The Digital Forensics Framework (DFF) is both a digital investigation tool and a development platform. The framework is used by system administrators, law enforcement examiners, digital forensics researchers and students, and security professionals world-wide. Written in Python and C++, it exclusively uses Open Source technologies. DFF combines an intuitive user interface with a modular and cross-platform architecture. This version is the developer version as of September 8, 2015.