Skip to main content

Python module for hardware and physmem inspection

Project description

https://img.shields.io/pypi/v/divination.svg

Overview

divination is a python package that exposes a simple interface for transacting with physical memory and IO space - cross platform (currently Windows10 and Linux).

IO and physical memory regions are mapped into the python usermode process and are transacted directly with the assistance of ctypes.

To function, the module requires a resident kernel-mode driver.

Features

  • Reading PCI configuration space

  • Reading MSRs (writing MSRs - TODO)

  • Mapping and RW from/to IO regions

  • Mapping and RW from/to physical memory regions (Linux-only - TODO Windows)

Dependencies

  • (Windows) pywin32

  • (Linux) <none>

Installation

Python module

The python module is available off PyPI:

pip3 install divination

Kernel module (Windows)

The KMDF driver can be built by installing VS, SDK + WDK and running msbuild under the driver/win directory from within the VS Developer Command Prompt.

Please do not (non-test-)sign this kernel module; we do not want to further enable attackers! Unless a restrictive DeviceGuard policy is employed, enabling testsigning should be sufficient to allow the driver to run:

bcdedit /set testsigning on ; shutdown -f -t 0 -r

Kernel module (Linux)

The Linux kernel module can be built by running make under the driver/linux directory. The usual prerequisite dependencies (kernel headers, gcc, etc.) will need to be installed.

Usage

There are currently 3 classes available: PciDevice, Msr and MemoryObject. Examples follow for usage of each.

  • PciDevice(bus, device, function)

    >>> amd_lpc = PciDevice(0, 0x14, 3)     # LPC Bridge @ D14F3
    >>> hexdump.hexdump(amd_lpc.read_cfg())
    00000000: 22 10 0E 79 0F 00 20 02  51 00 01 06 00 00 80 00  "..y.. .Q.......
    00000010: 00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    00000020: 00 00 00 00 00 00 00 00  00 00 00 00 62 14 37 7C  ............b.7|
    00000030: 00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    00000040: 04 00 00 00 40 C0 03 20  07 FF 20 03 00 00 00 00  ....@.. .. .....
    00000050: 00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    00000060: 00 00 00 00 40 16 00 0A  00 00 0F 00 00 FF FF FF  ....@...........
    00000070: 67 45 23 00 08 00 00 00  90 02 00 00 07 0A 00 00  gE#.............
    00000080: 08 00 03 A8 00 00 00 00  00 00 00 00 00 00 00 00  ................
    00000090: E0 03 00 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    000000A0: 02 00 C1 FE 2F 01 00 00  00 00 00 00 00 00 00 00  ..../...........
    000000B0: 00 00 00 00 00 00 00 00  04 00 E9 3F 00 00 00 00  ...........?....
    000000C0: 00 00 00 00 00 00 00 00  00 00 00 80 00 00 F7 FF  ................
    000000D0: 86 FF FD 08 42 00 00 00  00 00 00 00 00 00 00 00  ....B...........
    000000E0: 00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    000000F0: 00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    
  • Msr(register)

    >>> amd_hwcr = Msr(0xc0010015)
    >>> hex(amd_hwcr.read())
    '0x89000111'
    
  • MemoryObject(base_address, range, mem_type, alloc=False)

    >>> spi_bar = MemoryObject(0xfec10000, 0x100, MemoryType.IoSpace)
    >>> hexdump.hexdump(spi_bar[0:])  # MemoryObjects are sliceable and can be read from + written to
    00000000: 05 21 CC 4F 00 00 00 00  00 00 00 00 6A 00 00 02  .!.O........j...
    00000010: 06 20 04 04 06 04 9F 05  03 0B 0A 02 FF 98 06 02  . ..............
    00000020: 13 07 33 10 08 20 20 20  0C 14 06 0E C0 54 C0 14  ..3..   .....T..
    00000030: C0 14 08 46 03 00 00 00  FC FC FC FC FC 88 00 00  ...F............
    00000040: 3B 6B BB EB 00 05 00 00  01 00 00 02 02 00 06 00  ;k..............
    00000050: 00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    00000060: 00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    00000070: 00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    00000080: 00 40 40 69 24 6A 4A 16  CA C5 EB 7B E2 95 09 4C  .@@i$jJ....{...L
    00000090: C8 AD 4A FC CB 1D 83 A9  C4 82 C1 D9 7E 35 F9 27  ..J.........~5.'
    000000A0: 92 8A 43 4B 78 D3 6B 04  9C B8 AF 79 8C 68 C6 E8  ..CKx.k....y.h..
    000000B0: 2E 24 04 68 F4 97 2A CC  83 74 C9 E2 17 C0 5A C7  .$.h..*..t....Z.
    000000C0: C7 C7 C7 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    000000D0: 00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    000000E0: 00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    000000F0: 00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  ................
    

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

divination-0.2.0.tar.gz (12.7 kB view details)

Uploaded Source

Built Distribution

divination-0.2.0-py3-none-any.whl (7.7 kB view details)

Uploaded Python 3

File details

Details for the file divination-0.2.0.tar.gz.

File metadata

  • Download URL: divination-0.2.0.tar.gz
  • Upload date:
  • Size: 12.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.5

File hashes

Hashes for divination-0.2.0.tar.gz
Algorithm Hash digest
SHA256 edca572dbb84a097a34d4d8f7c3ab05764d4da6896fefd031554c30e3e118f33
MD5 eaa99e2aae7645271f5f17aa4854eaa1
BLAKE2b-256 03ca7b5c548c90ef0f56801d926e4683767c4be4328b74d40c5f761eefce8c1f

See more details on using hashes here.

File details

Details for the file divination-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: divination-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 7.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.5

File hashes

Hashes for divination-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8411248e9bec264b2b94387dcf87f0d1295c6643ed83d2a474beda3c28812285
MD5 c04726736bfc81aa89b0fe480d23fe0a
BLAKE2b-256 e0ca20bdec5ca7448bbc77762a0df925b054aa2cde6a0b2c5bd2c65bf48026a1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page