Once deployed, it lets you run live queries and schedule recurring queries for those agents to gather data fro m hundreds of tables a cross your entire enterprise - all within a dedicated page in Kibana. The Osquery Manager integration simplifies the deployment shown in Figure 1 by adding it to the policy assigned to the agents running on your endpoints. It’s never been easier to implement osquery at scale While this might seem complex, the Elastic Osquery Manager integration supports an easy deployment across multiple endpoints and simplifies the collection of data and aggregation of data. The following figure shows that many steps are involved in the process: It relies on an extensive schema to collect system operational information.įurthermore, osquery provides osqueryd to manage multiple hosts, run scheduled queries, and aggregate results and generate logs.ĭeploying and scaling osquery in a multi-machine environment can easily become a struggle for many IT professionals. It lets you query your operating systems - supported systems are Windows, OS X (macOS), Linux, and FreeBSD - as if they were a relational database, in that you can explore your system data with SQL-like statements. Osquery is an open source tool to monitor IT infrastructure. This blog post covers a brief introduction to osquery and the Osquery Manager integration for Elastic Agent, and provides a comprehensive configuration guide for the Agent and its usage for threat hunting for persistence on Windows endpoints. With the collection of osquery data combined with the power of Elastic Stack, you can gr eatly expand your endpoint telemetry, enabling enhanced detection and investigation and improving hunting for vulnerabilities and anomalous activities. You can find more information from the Osquery Github repository.As of the Elastic 7.16 release, Osquery Manager is generally available for Elastic Agent, providing every user the ability to easily deploy and run osquery across their environments. Osquery also provides file integrity monitoring ( FIM), and process and socket auditing features and more, thus it is an intrusion detection tool, but this calls for certain configurations before you can deploy it for such a purpose. To display a list of all implemented tables in Linux, use the. If you are running osquery on a desktop and have Firefox or Chrome installed, you can list all your add-ons using the following query. osquery> SELECT DISTINCT processes.name, listening_ports.port, processes.pid FROM listening_ports JOIN processes USING (pid) WHERE listening_ports.address = '0.0.0.0' To get a informatin about running Linux processes, run the following query. To get a list of all installed RPM packages on CentOS, RHEL and Fedora, run the following query. To get a list of all Linux kernel modules and their status, run the following query. To get a well formated list of all users on the Linux system, run the following query. To get a summarized Linux system information run the following command. Once you have successfully installed Osquery on your system, launch the osqueryi shell to start querying the state of your OS as shown. How to Monitor and Analyze Linux Using Osquery $ sudo dnf config-manager -set-enabled osquery-s3-rpm $ dnf config-manager -add-repo -add-repo On Fedora 22+ $ curl -L | sudo tee /etc/pki/rpm-gpg/RPM-GPG-KEY-osquery $ sudo yum-config-manager -enable osquery-s3-rpm-repo On RHEL/CentOS $ curl -L | sudo tee /etc/pki/rpm-gpg/RPM-GPG-KEY-osquery $ sudo apt-key adv -keyserver -recv-keys $OSQUERY_KEY The Osquery can be installed from the official repository using apt yum or dnf package management tool on your respective Linux distribution as shown. Some tables can only be found on a specific operating system, for instance, you only find the kernel_modules table on Linux systems.Īdditionally, you can run queries to monitor and analyze OS state on a single host via the osqueryi shell, or on several hosts on a network via a scheduler or execute them from any of your custom applications using osquery Thrift APIs. Osquery use a simple plugin and extensions API to implement SQL tables, there is a collection of tables in existence ready for use, and more are being written. It combines a number of tools which perform low-level OS analytics and monitoring these tools reveal an operating system as a high-performance relational database such as MySQL/ MariaDB, PostgreSQL and more, where OS concepts are represented in tabular form, thus allowing users to employ SQL commands to carry out system monitoring and analytics. It is a simple and easy-to-use operating system explorer. Osquery is a free open source, powerful and cross-platform SQL-based operating system instrumentation, monitoring, and analytics framework for Linux, FreeBSD, Windows, and Mac/OS X systems, built by Facebook.
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