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[Rule Tuning] Potential Credential Access via DCSync#6415

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[Rule Tuning] Potential Credential Access via DCSync#6415
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Resolves elastic/ia-trade-team#1005

Reduces noise from forwarded event log data quality issues where the SubjectUserSid is S-1-0-0 (Nobody SID), indicating no valid authenticated subject. These events are artifacts of SID resolution failures in forwarded Windows Security logs and do not represent real DCSync activity, which always requires a valid domain-authenticated SID. Adds a SubjectUserSid exclusion for S-1-0-0 to the query filter.


Full telemetry triage, analytics links, and KQL verification: see linked ia-trade-team issue.

Copilot AI review requested due to automatic review settings July 10, 2026 02:19
@Mikaayenson Mikaayenson added Rule: Tuning tweaking or tuning an existing rule genai-tradecraft labels Jul 10, 2026
@botelastic botelastic Bot added Domain: Endpoint OS: Windows windows related rules labels Jul 10, 2026
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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.

@tradebot-elastic

tradebot-elastic commented Jul 10, 2026

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⛔️ Test failed

Results
  • ❌ Potential Credential Access via DCSync (kuery)
    • coverage_issue: no_rta
    • stack_validation_failed: no_rta

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Pull request overview

Tunes the existing Windows DCSync detection rule to reduce false positives from forwarded Security event artifacts where the subject SID is unresolved and appears as S-1-0-0 (“Nobody”), which should not represent valid DCSync activity.

Changes:

  • Updates the rule metadata updated_date to 2026/07/10.
  • Adds a KQL exclusion to drop events where winlog.event_data.SubjectUserSid is S-1-0-0.

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backport: auto Domain: Endpoint genai-tradecraft OS: Windows windows related rules Rule: Tuning tweaking or tuning an existing rule

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