套件:lime-forensics-dkms(1.8.1-1)
lime-forensics-dkms 的相關連結
Debian 的資源:
下載原始碼套件 lime-forensics:
- [lime-forensics_1.8.1-1.dsc]
- [lime-forensics_1.8.1.orig.tar.gz]
- [lime-forensics_1.8.1-1.debian.tar.xz]
維護小組:
外部的資源:
- 主頁 [github.com]
相似套件:
kernel module to memory dump (DKMS)
LiME (Linux Memory Extractor, formerly DMD) is a Loadable Kernel Module (LKM), which allows the acquisition of volatile memory (RAM) from Linux and Linux-based devices, such as those powered by Android. In others words, you can use it to get a memory image from a machine.
The tool supports acquiring memory either to the file system of the device or over the network. LiME is unique in that it is the first tool that allows full memory captures from Android devices. It also minimizes its interaction between user and kernel space processes during acquisition. It will produce memory captures that are more forensically sound than those of other tools designed for Linux memory acquisition. The dump format provided as "lime" is fully compatible with volatility framework.
This package provides the source code for the lime-forensics kernel modules to be build with dkms.
Kernel source or headers are required to compile these modules.
其他與 lime-forensics-dkms 有關的套件
|
|
|
|
-
- dep: dkms (>= 2.1.0.0)
- Dynamic Kernel Module Support Framework
-
- rec: linux-headers-amd64
- Header files for Linux amd64 configuration (meta-package)
- 或者 linux-headers-686-pae
- Header files for Linux 686-pae configuration (meta-package)
- 或者 linux-headers-686
- Header files for Linux 686 configuration (meta-package)
- 或者 linux-headers-arm64
- Header files for Linux arm64 configuration (meta-package)
- 或者 linux-headers-armmp
- Header files for Linux armmp configuration (meta-package)
- 或者 linux-headers-loongson-3
- 套件暫時不可用
- 或者 linux-headers-marvell
- 套件暫時不可用
- 或者 linux-headers-octeon
- 套件暫時不可用
- 或者 linux-headers-powerpc64le
- 套件暫時不可用
- 或者 linux-headers-s390x
- 套件暫時不可用
- 或者 linux-headers
- 套件暫時不可用
-
- sug: volatility
- advanced memory forensics framework
-
- enh: volatility
- advanced memory forensics framework