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We used osquery for FIM capabilities against typical download destinations and configured customized process monitoring as well. For example, in the Boss of the SOC (BOTS) version 2.0 dataset, we collected osquery data from two macOS endpoints. Osquery is a fantastic tool for hunting through granular endpoint data. The most common way to onboard osquery data is the time-tested Splunk Universal Forwarder, which can be configured to send local osquery output in real time directly into your Splunk indexers. (We have yet to see a customer running osquery in production on Windows, and the one customer seriously considering it was such a huge Microsoft fan that they then gave us a VIP tour of their collection of Zunes.)Ĭustomers looking for a solution for macOS endpoint monitoring, for example, often end up running osquery-as well as those looking to satisfy file integrity monitoring (FIM) requirements.

We’ve been seeing a gradual uptake in Splunk customers looking to analyze data at scale from osquery, especially on non-Windows endpoints. (The videos from those sessions are excellent, high definition, sometimes irreverent, and can be found at that link as well.) Other companies such as Palantir and Kolide actively extend osquery, and the popularity of the project is such that Quer圜on-an inaugural conference on all things osquery-was held in San Francisco this summer. Since it's multi-platform (Linux, Windows, and macOS) and tested at scale, it's increasingly likely to be found on corporate endpoints. Osquery is a fully open-sourced, scalable endpoint visibility project contributed to and sponsored by Facebook. One of the more prevalent endpoint data sources out there is osquery let's go deeper. (This is exactly what happened when I bought that P90x DVD last year so that I could look just like Doug Merritt.)īut I digress. The overwhelming majority of people don’t fully implement what they buy. I base this on findings from the SANS 2018 Survey on Endpoint Protection. Because guess what? It turns out you can throw all the endpoint++, machine learning, AI-based detection and prevention technology you want at your systems, but unless you’ve got 100% coverage, you still have risk. It isn’t easy-every time I open my Twitter feed, someone's going off about the latest open-source this and next-gen that. If you see him, tell him he owes me a chilled bottle of Loire Valley rosé and that I want my Smiths mixtapes back.Īs part of recent work within the Security Specialist team at Splunk, we’ve been taking a closer look at sources of endpoint data that we're seeing across our customer base. However, he asked me to come out of semi-retirement for this blog on osquery. He doesn’t understand that my current job at Splunk is to “manage” a bunch of security people-not to actively do hands-on experimentation and write up explanations of security-useful data sources.

OSQUERY FIM HOW TO

With that in mind, James goes over some interesting things he has found and how to do them! – Ryan KovarĪuthor's Note: Ryan Kovar is a taskmaster. However, along with its ability for real-time information pulls, it's also a phenomonal tool for logging.

OSQUERY FIM SERIES

This series is now legally allowed to drink! (Which is relevent when dealing with James Brodsky as a contributing author.) osquery has quickly become one of the most used resources for gathering data on *nix and MacOSs. This blog post is part twenty-one of the ' Hunting with Splunk: The Basics' series.

Osquery fim