osquery exposes an operating system as a high-performance relational database. This allows you to write SQL-based queries to explore operating system data. With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins, hardware events or file hashes.

If you're interested in learning more about osquery, visit the GitHub project, the website, and the users guide.

In osquery, SQL tables, configuration retrieval, log handling, etc are implemented via a simple, robust plugin and extensions API. This project contains the official Python bindings for creating osquery extensions in Python. Consider the following example:

import osquery

@osquery.register_plugin
class MyTablePlugin(osquery.TablePlugin):
    def name(self):
        return "foobar"

    def columns(self):
        return [
            osquery.TableColumn(name="foo", type=osquery.STRING),
            osquery.TableColumn(name="baz", type=osquery.STRING),
        ]

    def generate(self, context):
        query_data = []

        for _ in range(2):
            row = {}
            row["foo"] = "bar"
            row["baz"] = "baz"
            query_data.append(row)

        return query_data

if __name__ == "__main__":
    osquery.start_extension(name="my_awesome_extension",
                            version="1.0.0",)

This will register a table called "foobar". As you can see, the table will return two rows:

osquery> select * from foobar;
+-----+-----+
| foo | baz |
+-----+-----+
| bar | baz |
| bar | baz |
+-----+-----+
osquery>

This is obviously a contrived example, but it's easy to imagine the possibilities.

Using the instructions found on the wiki, you can easily deploy your extension with an existing osquery deployment.

Extensions are the core way that you can extend and customize osquery. At Facebook, we use extensions extensively to implement many plugins that take advantage of internal APIs and tools.

This module is currently in "beta mode". We're testing the API and UX before uploading the module to PyPI.

To install, clone this repo and run the following:

python setup.py build
python setup.py install

Alternatively, if you don't want to clone the repo, you can simply:

pip install git+git://github.com/osquery/osquery-python.git

See CONTRIBUTING.md and the osquery wiki for development information.

Facebook has a bug bounty program that includes osquery. If you find a security vulnerability in osquery, please submit it via the process outlined on that page and do not file a public issue. For more information on finding vulnerabilities in osquery, see a recent blog post about bug-hunting osquery.