The Greenbone Vulnerability Management Python API library (python-gvm) is a collection of APIs that help with remote controlling Greenbone Community Edition installations and Greenbone Enterprise Appliances. The library essentially abstracts accessing the communication protocols Greenbone Management Protocol (GMP) and Open Scanner Protocol (OSP).
The documentation for python-gvm can be found at https://greenbone.github.io/python-gvm/. Please always take a look at the documentation for further details. This README just gives you a short overview.
Please consider to always use the newest version of gvm-tools
and python-gvm
.
We frequently update this projects to add features and keep them free from bugs.
This is why installing python-gvm
using pip is recommended.
Important
To use python-gvm
with GMP version of 7, 8 or 9 you must use a release version
that is <21.5
. In the 21.5
release the support of these versions has been
dropped.
Important
To use python-gvm
with GMP version 20.8 or 21.4 you must use a release version
that is <24.6
. In the 24.6
release the support of these versions has been
dropped.
Python 3.9 and later is supported.
You can install the latest stable release of python-gvm from the Python Package Index using pip:
python3 -m pip install --user python-gvm
from gvm.connections import UnixSocketConnection
from gvm.protocols.gmp import Gmp
from gvm.transforms import EtreeTransform
from gvm.xml import pretty_print
connection = UnixSocketConnection()
transform = EtreeTransform()
with Gmp(connection, transform=transform) as gmp:
# Retrieve GMP version supported by the remote daemon
version = gmp.get_version()
# Prints the XML in beautiful form
pretty_print(version)
# Login
gmp.authenticate('foo', 'bar')
# Retrieve all tasks
tasks = gmp.get_tasks()
# Get names of tasks
task_names = tasks.xpath('task/name/text()')
pretty_print(task_names)
For any question on the usage of python-gvm please use the Greenbone Community Forum. If you found a problem with the software, please create an issue on GitHub.
This project is maintained by Greenbone AG.
Your contributions are highly appreciated. Please create a pull request on GitHub. For bigger changes, please discuss it first in the issues.
For development you should use poetry to keep you python packages separated in different environments. First install poetry via pip
python3 -m pip install --user poetry
Afterwards run
poetry install
in the checkout directory of python-gvm (the directory containing the
pyproject.toml
file) to install all dependencies including the packages only
required for development.
The python-gvm repository uses autohooks to apply linting and auto formatting via git hooks. Please ensure the git hooks are active.
$ poetry install
$ poetry run autohooks activate --force
Copyright (C) 2017-2024 Greenbone AG
Licensed under the GNU General Public License v3.0 or later.