Go to file
Thomas Stromberg 804a345da7
Add Github CI job
2023-02-24 12:18:29 -05:00
.github Add Github CI job 2023-02-24 12:18:29 -05:00
detection Fixes so that ODK can run under CI 2023-02-24 12:15:56 -05:00
fragments False positive removal and minor query perf improvements 2023-02-10 10:21:06 -05:00
images v0.0.1 2022-10-13 09:11:17 -04:00
incident_response incident_response: bugfixes across queries 2023-02-23 21:24:52 -05:00
policy Run 'make reformat' 2023-01-20 09:24:24 -05:00
.gitignore v0.0.1 2022-10-13 09:11:17 -04:00
LICENSE.txt Add license file 2022-10-13 09:21:11 -04:00
Makefile Fixes so that ODK can run under CI 2023-02-24 12:15:56 -05:00
README.md Fixes so that ODK can run under CI 2023-02-24 12:15:56 -05:00

README.md

osquery-defense-kit

Actions Status Latest Release stable

Production-ready detection & response queries for osquery

osquery-defense-kit

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.

Organization

  • detection/ - Threat detection queries tuned for alert generation.
  • policy/ - Security policy queries tuned for alert generation.
  • 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.

Detection on Linux Case Study: 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

Detection on macOS Case Study: 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

Local pack generation

Run make packs

For more control, you can invoke osqtool directly, to override default intervals or exclude checks.

Policies

Contributions

Help is 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, so long as evidence is provided 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.