11/7/2022 0 Comments Osquery regexpThe schema meta-command takes an argument that helps limit the output to a partial string match. schema to list all of the tables and their schema. bail ON|OFF Stop after hitting an error default OFF You are connected to a transient 'in-memory' virtual database. Know that this 'shell' does not connect to anything, it is completely standalone. Then fire up osqueryi as your user or as a superuser and try some of the concepts below. This shell is designed for ad-hoc exploration of your OS and SQL query prototyping. See Tables with arguments for more information.īefore diving into the osquery SQL customizations, please familiarize yourself with the osquery development shell. NOTICE: Several tables, file for example, require a predicate for one of the columns, and will not work without it. SELECT only! All mutation-based verbs exist, like INSERT, UPDATE, DELETE, and ALTER but they do not do anything- except if you're fancy and creating run-time tables or VIEWs. This is a great starting place if coming from MySQL, PostgreSQL, or MSSQL. The osquery SQL language is a superset of SQLite's, please read SQL as understood by SQLite for reference. Please do a deep-dive read into how SQL can power intrusion detection, incident response, process auditing, file integrity monitoring and more within our deployment and development guides. The world of osquery is centered around SQL, decorating, scheduling, differentials, eventing, targeting, everything is SQL and hopefully as expressive as possible. Actions use primary keys as input and generate rows as output, and are best used when JOINing. Consider stating a file, or hashing a blob of data, parsing JSON or reading a SQLite database, traversing a directory or requesting a user's list of installed browser plugins. We do not inspect event-time data in real-time, but rather buffer the events as they occur and represent that buffer as a table! Concept 'actions' can be represented too, you perform an action and generate tabular data. These are the same concepts with an 'event-like' twist. Now consider event streams, each event is a row, like a new USB device connection, or file attribute modification. When you want to inspect a concept, you SELECT the data and in real-time the associated OS APIs are called. Osquery regexp series#We can force-fit this into a table with a single row and many columns or a series of key/value rows. There are several informational things like OS version, CPU features, memory details, UEFI platform vendor details- that are not tabular but rather a body of details with labeled data. Each concept becomes a SQL table, like processes, or sockets, the filesystem, a host alias, a running kernel module, etc. It may seem weird at first, but try to think of your operating system a as series of tabular concepts.
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