![]() The context variable being passed into the function contains the values being passed into Osquery. This section contains all the logic for an Osquery extension. This section defines the columns of the table and the variable type of each column. Lastly, for this section, we have the “name” function which simply returns the name of the table to be registered within Osquery. ![]() Next, a class is defined for this plugin using the “osquery.TablePlugin” object and this class contains all the code necessary for this plugin. Install/Setup Osquery-python environment on macOS Create a directory and install Python packagesįirst, is the Python decorator which basically calls additional functionality to register this code as an Osquery plugin. With the extension acting as a proxy into Windows kernel for osquery, the possibilities can be enormous. It is a step in the direction aimed at increasing osquery footprint and adoption on Windows platform. The current release of the extension is a ‘community-only’ release. The capabilities are built using the kernel services library of PolyLogyx. PolyLogyx OSQuery Extension (plgx_win_) for Windows platform extends the core osquery on Windows by adding real time event collection capabilities to osquery on Windows platform. This capability provides the ability to create Osquery extensions in Python. In Osquery, SQL tables, configuration retrieval, log handling, etc are implemented via a simple, robust plugin and extensions API. For example, let’s say Suricata detects malicious activity and when you examine the details of the alert it will include a unique hash as the value of communityID. A CommunityID is a hash of the tuple (destination IP address, source IP address, destination port, source port, protocol) and this tuple defines a unique connection. What is communityID?ĬommunityID is a new feature being implemented by networking security applications such as Zeek and Suricata. With Osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins, hardware events or file hashes. This allows you to write SQL-based queries to explore operating system data. Osquery exposes an operating system as a high-performance relational database.
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