Improve the README wording

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Thomas Stromberg 2022-10-19 15:39:13 -04:00
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# osquery-defense-kit
Real-world queries for using osquery as part of your detection & response pipeline.
Real-world queries for using osquery as part of a detection & response pipeline.
![osquery-defense-kit](images/logo-small.png?raw=true "osquery-defense-kit logo")
Primarily focused on threat detection on POSIX platforms (Linux, macOS), the osquery-defense-kit (ODK) differs from
existing published query sets in that they are designed to be used in an alert pipeline. Most queries (particularly those in `detection` and `policy`) should return 0 results
unless an exceptional behavior is detected.
## Organization
* `detection/` - Threat detection queries tuned for alert generation.
* `response/` - Data collection to assist in responding to possible threats. Tuned for periodic evidence collection.
* `policy/` - Security policy queries tuned for alert generation.
Where suitable, queries are further divided up by [MITRE ATT&CK](https://attack.mitre.org/) tactics categories. Queries are periodically released in [osquery query pack](https://osquery.readthedocs.io/en/stable/deployment/configuration/#query-packs) format. See `Local Pack Generation` for more information.
The detection queries are further divided up by [MITRE ATT&CK](https://attack.mitre.org/) tactics categories.
## Linux Case Study: Shikitega (September 2022)
Periodically, queries published in [osquery query pack](https://osquery.readthedocs.io/en/stable/deployment/configuration/#query-packs) format. See `Local Pack Generation` for information on how to generate your own.
## Detection on Linux Case Study: Shikitega (September 2022)
<https://cybersecurity.att.com/blogs/labs-research/shikitega-new-stealthy-malware-targeting-linux>
@ -48,7 +54,7 @@ Here is a partial list of what queries would have fired an alert based on these
* `persistence/unexpected-cron-entries.sql`
* `execution/unexpected-executable-directory-linux.sql`
## macOS Case Study: CloudMensis (April 2022)
## 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/>
@ -70,26 +76,34 @@ Here is a partial list of what stages would have been detected by particular que
* `execution/exotic-command-events.sql`
* `execution/unexpected-executable-directory-macos.sql`
## False Positive Policy
## Local pack generation
Run `make packs`
For more control, you can invoke [osqtool](https://github.com/chainguard-dev/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.
### 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!
## Tag Intervals Mapping
### CPU Overhead
Our base interval is 1 hour (3600s), but this interval is modified by the tags in place:
In aggregate, queries should not consume more than 2% of the wall clock time across a day on a deployed system.
* continuous: 15 seconds
* transient: 5 minutes
* persistent: 1 hour (default)
* postmortem: 6 hours
### Intervals
In addition, we'll also use the following modifier tags:
* Often: 4X as often (~1m for transient, 15 minutes for persistent)
* Seldom: 2X as seldomly (10 minutes for transient, 2 hours for persistent)
## Local pack generation
Run `make packs`
Deployed intervals are automatically determined based on the tags supported by the [osqtool](https://github.com/chainguard-dev/osqtool), which we use for pack assembly.