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Python binding for QBDI

Project description

Introduction

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QuarkslaB Dynamic binary Instrumentation (QBDI) is a modular, cross-platform and cross-architecture DBI framework. It aims to support Linux, macOS, Android, iOS and Windows operating systems running on x86, x86-64, ARM and AArch64 architectures. In addition of C/C++ API, Python and JS/frida bindings are available to script QBDI. Information about what is a DBI framework and how QBDI works can be found in the user documentation introduction (User Documentation).

QBDI modularity means it doesn’t contain a preferred injection method and it is designed to be used in conjunction with an external injection tool. QBDI includes a tiny (LD_PRELOAD based) Linux and macOS injector for dynamic executables (QBDIPreload). QBDI is also fully integrated with Frida, a reference dynamic instrumentation toolkit, allowing anybody to use their combined powers.

A current limitation is that QBDI doesn’t handle signals, multithreading (it doesn’t deal with new threads creation) and C++ exception mechanisms. However, those system-dependent features will probably not be part of the core library (KISS), and should be integrated as a new layer (to be determined how).

Status

CPU

Operating Systems

Execution

Memory Access Information

x86-64

Android, Linux, macOS, Windows

Supported

Supported

x86

Android, Linux, macOS, Windows

Supported

Supported

ARM

Linux, Android, iOS

Planned (*)

Planned (*)

AArch64

Android

Planned (*)

Planned (*)

Installation

Python API (PyQBDI)

PyQBDI is available through PyPI. The wheel package can be either downloaded or installed with the following command:

pip install PyQBDI

The PyQBDI package is self-contained so completely independent from the C/C++ package.

Devel packages

There is no strict development timeline or scheduled release plan for the QBDI project. All the new features and fixes are merged onto the dev-next branch. Devel packages can be downloaded in the artefacts of:

Project details


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PyQBDI-0.8.0-cp39-cp39-win_amd64.whl (1.3 MB view hashes)

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PyQBDI-0.8.0-cp39-cp39-win32.whl (1.2 MB view hashes)

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PyQBDI-0.8.0-cp39-cp39-manylinux2014_x86_64.whl (2.0 MB view hashes)

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PyQBDI-0.8.0-cp39-cp39-manylinux2014_i686.whl (2.0 MB view hashes)

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PyQBDI-0.8.0-cp39-cp39-macosx_10_14_x86_64.whl (1.6 MB view hashes)

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PyQBDI-0.8.0-cp38-cp38-win_amd64.whl (1.3 MB view hashes)

Uploaded CPython 3.8 Windows x86-64

PyQBDI-0.8.0-cp38-cp38-win32.whl (1.2 MB view hashes)

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PyQBDI-0.8.0-cp38-cp38-manylinux2014_x86_64.whl (2.0 MB view hashes)

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PyQBDI-0.8.0-cp38-cp38-manylinux2014_i686.whl (2.0 MB view hashes)

Uploaded CPython 3.8

PyQBDI-0.8.0-cp38-cp38-macosx_10_14_x86_64.whl (1.6 MB view hashes)

Uploaded CPython 3.8 macOS 10.14+ x86-64

PyQBDI-0.8.0-cp37-cp37m-win_amd64.whl (1.3 MB view hashes)

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PyQBDI-0.8.0-cp37-cp37m-win32.whl (1.2 MB view hashes)

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PyQBDI-0.8.0-cp37-cp37m-manylinux2014_x86_64.whl (1.9 MB view hashes)

Uploaded CPython 3.7m

PyQBDI-0.8.0-cp37-cp37m-manylinux2014_i686.whl (2.0 MB view hashes)

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PyQBDI-0.8.0-cp37-cp37m-macosx_10_14_x86_64.whl (1.6 MB view hashes)

Uploaded CPython 3.7m macOS 10.14+ x86-64

PyQBDI-0.8.0-cp36-cp36m-win_amd64.whl (1.3 MB view hashes)

Uploaded CPython 3.6m Windows x86-64

PyQBDI-0.8.0-cp36-cp36m-win32.whl (1.2 MB view hashes)

Uploaded CPython 3.6m Windows x86

PyQBDI-0.8.0-cp36-cp36m-manylinux2014_x86_64.whl (1.9 MB view hashes)

Uploaded CPython 3.6m

PyQBDI-0.8.0-cp36-cp36m-manylinux2014_i686.whl (2.0 MB view hashes)

Uploaded CPython 3.6m

PyQBDI-0.8.0-cp36-cp36m-macosx_10_14_x86_64.whl (1.6 MB view hashes)

Uploaded CPython 3.6m macOS 10.14+ x86-64

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