✄𐘗
text code block:
✄𐘗from .alerts-security.*

// any alerts excluding low severity and the noisy ones
| where kibana.alert.rule.name is not null and user.name is not null and kibana.alert.risk_score > 21 and
        not kibana.alert.rule.type in ("threat_match", "machine_learning") and 
        not user.id in ("S-1-5-18", "S-1-5-19", "S-1-5-20", "0") and
        not KQL("""kibana.alert.rule.tags : "Rule Type: Higher-Order Rule" """) and
        // Top noisy influencing rules
        // Agent Spoofing - Mismatched Agent ID
        // Compression DLL Loaded by Unusual Process
        // Process Termination followed by Deletion 
        // Suspicious PrintSpooler Service Executable File Creation
        // Potential PrintNightmare File Modification
        // Multiple Vault Web Credentials Read
        // Machine Learning Detected a Suspicious Windows Event with a High Malicious Probability Score
        not kibana.alert.rule.rule_id in ("3115bd2c-0baa-4df0-80ea-45e474b5ef93", "d197478e-39f0-4347-a22f-ba654718b148", "09443c92-46b3-45a4-8f25-383b028b258d", "5bb4a95d-5a08-48eb-80db-4c3a63ec78a8", "5e87f165-45c2-4b80-bfa5-52822552c997", "44fc462c-1159-4fa8-b1b7-9b6296ab4f96", "994e40aa-8c85-43de-825e-15f665375ee8")
        
// group alerts by user.name and extract values of interest for alert triage
| stats Esql.event_module_distinct_count = COUNT_DISTINCT(event.module),
        Esql.rule_name_distinct_count = COUNT_DISTINCT(kibana.alert.rule.name),
        Esql.event_category_distinct_count = COUNT_DISTINCT(event.category),
        Esql.rule_risk_score_distinct_count = COUNT_DISTINCT(kibana.alert.risk_score),
        Esql.event_module_values = VALUES(event.module),
        Esql.rule_name_values = VALUES(kibana.alert.rule.name),
        Esql.message_values = VALUES(message),
        Esql.event_category_values = VALUES(event.category),
        Esql.event_action_values = VALUES(event.action),
        Esql.source_ip_values = VALUES(source.ip),
        Esql.destination_ip_values = VALUES(destination.ip),
        Esql.host_id_values = VALUES(host.id),
        Esql.agent_id_values = VALUES(agent.id),
        Esql.rule_severity_values = VALUES(kibana.alert.risk_score) by user.name, user.id

// filter for alerts from same destination.ip reported by different integrations with unique categories and with different severity levels
| where Esql.event_module_distinct_count >= 2 and Esql.event_category_distinct_count >= 2 and (Esql.rule_risk_score_distinct_count >= 2 or Esql.rule_severity_values == 73 or Esql.rule_severity_values == 99)
| keep user.name, Esql.*