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@w0rk3r w0rk3r commented Sep 5, 2025

Issues

Resolves #5057

Summary

Exclude Noisy patterns, simplify the rule logic.

@w0rk3r w0rk3r self-assigned this Sep 5, 2025
@w0rk3r w0rk3r added Rule: Tuning tweaking or tuning an existing rule OS: Windows windows related rules Domain: Endpoint backport: auto labels Sep 5, 2025
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github-actions bot commented Sep 5, 2025

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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tradebot-elastic commented Sep 5, 2025

⛔️ Test failed

Results
  • ❌ Remote Execution via File Shares (eql)
    • coverage_issue: no_rta
    • stack_validation_failed: no_rta

Co-authored-by: Samirbous <64742097+Samirbous@users.noreply.github.com>
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tradebot-elastic commented Sep 5, 2025

⛔️ Test failed

Results
  • ❌ Remote Execution via File Shares (eql)
    • coverage_issue: no_rta
    • stack_validation_failed: no_rta

@tradebot-elastic
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tradebot-elastic commented Sep 5, 2025

⛔️ Test failed

Results
  • ❌ Remote Execution via File Shares (eql)
    • coverage_issue: no_rta
    • stack_validation_failed: no_rta

@tradebot-elastic
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tradebot-elastic commented Sep 5, 2025

⛔️ Test failed

Results
  • ❌ Remote Execution via File Shares (eql)
    • coverage_issue: no_rta
    • stack_validation_failed: no_rta

@w0rk3r w0rk3r requested a review from Samirbous September 5, 2025 15:06
@tradebot-elastic
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tradebot-elastic commented Sep 10, 2025

⛔️ Test failed

Results
  • ❌ Remote Execution via File Shares (eql)
    • coverage_issue: no_rta
    • stack_validation_failed: no_rta

@tradebot-elastic
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tradebot-elastic commented Sep 10, 2025

⛔️ Test failed

Results
  • ❌ Remote Execution via File Shares (eql)
    • coverage_issue: no_rta
    • stack_validation_failed: no_rta

@tradebot-elastic
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tradebot-elastic commented Sep 11, 2025

⛔️ Test failed

Results
  • ❌ Remote Execution via File Shares (eql)
    • coverage_issue: no_rta
    • stack_validation_failed: no_rta

@w0rk3r w0rk3r merged commit b5d7795 into main Sep 11, 2025
12 checks passed
@w0rk3r w0rk3r deleted the rt_5 branch September 11, 2025 23:41
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backport: auto Domain: Endpoint OS: Windows windows related rules Rule: Tuning tweaking or tuning an existing rule

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[Rule Tuning] Remote Execution via File Shares

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