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[Rule Tuning] AWS IAM API Calls via Temporary Session Tokens #4901

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@imays11 imays11 commented Jul 10, 2025

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Summary - What I changed

rule triggers as expected, however its triggering for failed requests. Telemetry is low for this rule since it's new terms.

  • added event.outcome: success to query
  • added highlighted fields
  • adjusted rule execution window

How To Test

You can use this script for triggering this rule. You will need to create a new user with MFA enabled for this rule to work. Due to the nature of the session tokens created by GetSessionToken, "You cannot call any IAM API operations unless MFA authentication information is included in the request"

Here is a screenshot of updated working query

Screenshot 2025-07-10 at 6 55 36 PM

- rule triggers as expected, however its triggering for failed requests
- added `event.outcome: success` to query
- added highlighted fields
- adjusted rule execution window
@imays11 imays11 self-assigned this Jul 10, 2025
@imays11 imays11 added Integration: AWS AWS related rules Rule: Tuning tweaking or tuning an existing rule Team: TRADE Domain: Cloud labels Jul 10, 2025
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Rule: Tuning - Guidelines

These guidelines serve as a reminder set of considerations when tuning an existing rule.

Documentation and Context

  • Detailed description of the suggested changes.
  • Provide example JSON data or screenshots.
  • Provide evidence of reducing benign events mistakenly identified as threats (False Positives).
  • Provide evidence of enhancing detection of true threats that were previously missed (False Negatives).
  • Provide evidence of optimizing resource consumption and execution time of detection rules (Performance).
  • Provide evidence of specific environment factors influencing customized rule tuning (Contextual Tuning).
  • Provide evidence of improvements made by modifying sensitivity by changing alert triggering thresholds (Threshold Adjustments).
  • Provide evidence of refining rules to better detect deviations from typical behavior (Behavioral Tuning).
  • Provide evidence of improvements of adjusting rules based on time-based patterns (Temporal Tuning).
  • Provide reasoning of adjusting priority or severity levels of alerts (Severity Tuning).
  • Provide evidence of improving quality integrity of our data used by detection rules (Data Quality).
  • Ensure the tuning includes necessary updates to the release documentation and versioning.

Rule Metadata Checks

  • updated_date matches the date of tuning PR merged.
  • min_stack_version should support the widest stack versions.
  • name and description should be descriptive and not include typos.
  • query should be inclusive, not overly exclusive. Review to ensure the original intent of the rule is maintained.

Testing and Validation

  • Validate that the tuned rule's performance is satisfactory and does not negatively impact the stack.
  • Ensure that the tuned rule has a low false positive rate.

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3 participants