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[Rule Tuning] AWS STS GetCallerIdentity API Called for the First Time #4094

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@imays11 imays11 commented Sep 20, 2024

Pull Request

Issue link(s): https://github.com/elastic/ia-trade-team/issues/458

Summary - What I changed

Tuning this rule to exclude identity type AssumedRole as this is too common a behavior, often automated, and used to verify current identity and role assumptions. Therefore it is not as indicative of suspicious behavior when used by assumed roles. This rule will still trigger for IAMUser and FederatedUser identity types. In telemetry this change reduces alerts from ~240,000 to 43 in the last 30 days.

How To Test

Screenshot to show valid query

image

Tuning this rule to exclude identity type `AssumedRole` as this is too common a behavior, often automated, and used to verify current identity and role assumptions. Therefore it is not as indicative of suspicious behavior when used by assumed roles. This rule will still trigger for `IAM User` and `Federated User` identity types. In telemetry this change reduces alerts from ~240,000 to 43 in the last 30 days.
@imays11 imays11 added Integration: AWS AWS related rules Domain: Cloud Rule: Tuning tweaking or tuning an existing rule labels Sep 20, 2024
@imays11 imays11 self-assigned this Sep 20, 2024
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protectionsmachine commented Sep 20, 2024

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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Labels
backport: auto Domain: Cloud Integration: AWS AWS related rules Rule: Tuning tweaking or tuning an existing rule
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