GitHub - chainguard-dev/osquery-defense-kit: Production-ready detection & response queries for osquery

osquery queries for Detection & Incident Response, containing 250+ production-ready queries. ODK (osquery-defense-kit) is unique in that the queries are designed to be used as part of a production detection & response pipeline. The detection queries are formulated to return zero rows during normal expected behavior, so that they may be configured to generate alerts when rows are returned. At the moment, these queries are predominantly designed for execution on POSIX platforms (Linux & macOS). Pull requests to improve support on other platforms are fully welcome. Requirements osquery v5.7.0 or above macOS or Linux If you plan to do local development you will also need Go v1.20+ for osqtool Usage Local Detection Run make detect for point-in-time detection. This will not detect as much as a production installation as it will not have access to historical events. Production Detection Download a released query pack into a convenient location, and point to these files from the packs stanza of your osquery.conf file Local Data Collection for IR Run make collect. This is particularly useful for before/after analysis. Local pack generation Run make packs. For more control, you can invoke osqtool directly, to override default intervals or exclude checks. Local verification testing Run make verify File Organization detection/ - Threat detection queries tuned for alert generation. policy/ - Security policy queries tuned for alert generation. incident_response/ - Data collection to assist in responding to possible threats. Tuned for periodic evidence collection. The detection queries are further divided up by MITRE ATT&CK tactics categories. At release time, the queries are packed up in osquery query pack format. See Local Pack Generation for information on how to generate your own packs at any time. Case Studies Linux: Shikitega (September 2022) https://cybersecurity.att.com/blogs/labs-research/shikitega-new-stealthy-malware-targeting-linux Here is a partial list of what queries would have fired an alert based on these queries: Initial Dropper Execution, detected by: execution/tiny-executable-events.sql execution/tiny-executable.sql Next Stage Dropper Execution, detected by: execution/tiny-executable-events.sql execution/tiny-executable.sql execution/unexpected-shell-parents.sql Escalation Prep, detected by: execution/sketchy-fetchers.sql execution/sketchy-fetcher-events.sql c2/unexpected-talkers-linux.sql c2/exotic-command-events.sql c2/exotic-cmdline.sql Escalation Tool Execution detected by: execution/unexpected-executable-permissions.sql execution/unexpected-executable-directory-linux.sql execution/unexpected-tmp-executables.sql c2/exotic-command-events.sql c2/exotic-cmdline.sql initial_access/unexpected-shell-parents.sql evasion/missing-from-disk-linux.sql Privilege Escalation detected by: privesc/unexpected-setxid-process.sql privesc/unexpected-privilege-escalation.sql privesc/events/unexpected-privilege-escalation-events.sql evasion/name_path_mismatch.sql Persistence detected by: persistence/unexpected-cron-entries.sql execution/unexpected-executable-directory-linux.sql macOS: CloudMensis (April 2022) https://www.welivesecurity.com/2022/07/19/i-see-what-you-did-there-look-cloudmensis-macos-spyware/ Here is a partial list of what stages would have been detected by particular queries: Initial Dropper Execution, detected by: c2/unexpected-talkers-macos.sql Second Stage Execution, detected by: execution/unexpected-executable-directory-macos.sql persistence/unexpected-launch-daemon-macos.sql execution/unexpected-mounts.sql TCC Bypass, detected by: evasion/unexpected-env-values.sql Spy Agent Execution, detected by: c2/unexpected-talkers-macos.sql execution/exotic-command-events.sql execution/unexpected-executable-directory-macos.sql Policies Contributions Help Wanted! We support any new queries so long as they can be easily updated to address false positives. Users may submit false positive exceptions for popular well-known software packages, but may be asked to provide evidence for the behavior. Platform Support While originally focused on Linux and macOS, we support the addition of queries on any platform supported by osquery. In particular, we've been asked about Windows support: Chainguard doesn't have any Windows machines, but if you have Windows queries that you think would be useful and match our philosophy, we're more than willing to accept them! False Positives We endeavor to exclude real-world false positives from our detection queries. Managing false positives is easier said than done - pull requests are welcome! CPU Overhead In aggregate, queries should not consume more than 2% of the wall clock time across a day on a deployed system. Intervals Deployed intervals are automatically determined based on the tags supported by the osqtool, which we use for pack assembly.