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59 lines
2.2 KiB
Markdown
59 lines
2.2 KiB
Markdown
osquery
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=======
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<a target="_blank" href="https://magnum.travis-ci.com/facebook/osquery"><img src="https://magnum.travis-ci.com/facebook/osquery.svg?token=MvaZkzWisgsA98PZfNC7&branch=master"></a>
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osquery is an operating system instrumentation framework for OSX and Linux. osquery makes low-level operating system analytics and monitoring both performant and intuitive.
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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
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- running processes
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- loaded kernel modules
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- open network connections
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SQL tables are implemented via an easily extendable API. A variety of tables already exist and more are being written.
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To best understand the expressiveness that is afforded to you by osquery, consider the following SQL queries:
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```sql
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--------------------------------------------------------
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-- get the name, pid and attached port of all processes
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-- which are listening on all interfaces
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--------------------------------------------------------
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SELECT DISTINCT
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process.name,
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listening.port,
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process.pid
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FROM processes AS process
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JOIN listening_ports AS listening
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ON process.pid = listening.pid
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WHERE listening.address = '0.0.0.0';
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```
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```sql
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--------------------------------------------------------
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-- find every launchdaemon on an OS X host which
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-- * launches an executable when the operating
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-- system starts
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-- * keeps the executable running
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-- return the name of the launchdaemon and the full
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-- path (with arguments) of the executable to be ran.
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--------------------------------------------------------
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SELECT
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name,
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program || program_arguments AS executable
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FROM launchd
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WHERE
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(run_at_load = 'true' AND keep_alive = 'true')
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AND
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(program != '' OR program_arguments != '');
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```
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These queries can be:
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- performed on an ad-hoc basis to explore operating system state
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- executed via a scheduler to monitor operating system state across a distributed set of hosts over time
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- launched from custom applications using osquery APIs
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## Learn more
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If you're interested in learning more about osquery, visit the [wiki](https://github.com/facebook/osquery/wiki).
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