divination - platform, iospace and physmem inspection framework
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 using mmap on Linux and pywin32 on Windows.
Hardware operations require a resident kernel-mode driver; importing the module does not. The driver is opened on first use, and errors propagate as Python exceptions.
Features
Reading PCI configuration space
Reading and writing MSRs
Mapping and RW from/to IO regions
Mapping and RW from/to physical memory regions (Linux-only; Windows raises NotImplementedError)
Dependencies
Python 3.9+ on 64-bit x86 Linux or Windows, with 64-bit Python
(Windows) pywin32
(Linux) <none>
Installation
Python module
The python module is available off PyPI:
pip3 install divination
For the changes in this checkout, use pip3 install . and rebuild the matching kernel driver; MSR writes require the updated driver.
Kernel module (Windows)
The WDM 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! The driver must be test-signed because its process-exit cleanup requires /INTEGRITYCHECK. Enable testsigning to load the test-signed driver, subject to system signing policy:
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.
See the usage guide for CLI commands, Python examples, setup and troubleshooting.
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)
Use write(value) to write a 64-bit value. Reads and writes affect the CPU executing the driver request.
>>> amd_hwcr = Msr(0xc0010015) >>> hex(amd_hwcr.read()) '0x89000111'
MemoryObject(base_address, range, mem_type, alloc=False)
Reads and writes must stay within the mapped range; slice assignment cannot resize it. Use close() or a with block to release the mapping. Physical memory allocation (alloc=True) is not supported.
>>> 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 ................
1 maintainer
Metadata
1 maintainer
Release files for divination 2.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| divination-2.2.0.tar.gz | 40.5 kB | With provenance | Details for divination-2.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| divination-2.2.0-py3-none-any.whl | Python 3 | none | any | Details for divination-2.2.0-py3-none-any.whl |
Total release size: 56.2 kB
Release files / divination-2.2.0.tar.gz
| Download URL | divination-2.2.0.tar.gz |
|---|---|
| Size | 40.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2c91679ac4423438acd9ece1d1a86589403bc7409ff83e1ab17ca6b83ab71ac4
|
|
BLAKE2b-256 checksum How to use checksums |
2cb72752bfb6ea36fd37bbe2cae29d309d429c7fdcd1a091f2ff32c865903290
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 18, 2026.
Transparency logRelease files / divination-2.2.0-py3-none-any.whl
| Download URL | divination-2.2.0-py3-none-any.whl |
|---|---|
| Size | 15.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3554cca6149d486a92903c38031c2d36710e82ba574db8fc960f5872c1d91864
|
|
BLAKE2b-256 checksum How to use checksums |
4c0fd80c3af40c570f3026c267a7c4dfe7e70202d61120d7599406afd63a480e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 18, 2026.
Transparency logSecurity for divination 2.2.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for divination-2.2.0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 18, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
