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Query Details

HomeAI ToolsDevice Query

Anomalies Suspicious Volume Of Logins To User Account By Logon Types

Query

Anomalies
| where RuleName endswith "Suspicious volume of logins to user account by logon types" and RuleStatus != "Flighting"
| extend
    Query = ExtendedLinks[0]["DetailBladeInputs"],
    LogonType = tostring(AnomalyDetails["Observables"][1]["Value"]),
    LoginCount = toint(AnomalyDetails["Observables"][0]["Value"]),
    ExpectedLoginCount = toint(AnomalyDetails["Observables"][0]["TypicalObservations"]["Expected count"])
| project
    TimeGenerated,
    RuleName,
    Description,
    Query,
    UserName,
    LogonType,
    LoginCount,
    ExpectedLoginCount,
    Score,
    AnomalyDetails,
    Entities,
    Tactics,
    Techniques,
    ExtendedLinks

Explanation

This query is looking for anomalies related to a suspicious volume of logins to user accounts based on different logon types. It filters out any anomalies that are in a "Flighting" status. It then extends the query to include additional information such as the logon type, login count, and expected login count. Finally, it projects various fields including the time generated, rule name, description, query, username, logon type, login count, expected login count, score, anomaly details, entities, tactics, techniques, and extended links.

Details

Jose Sebastián Canós profile picture

Jose Sebastián Canós

Released: December 15, 2022

Tables

Anomalies

Keywords

Anomalies,RuleName,RuleStatus,ExtendedLinks,Query,LogonType,LoginCount,ExpectedLoginCount,TimeGenerated,Description,UserName,Score,AnomalyDetails,Entities,Tactics,Techniques

Operators

whereendswith!=extendtostringtointproject

Actions