Query Details

Multiple IP Entity AAD Service Principal Sign In Logs

Query

// This query assumes a feed of threat indicators is ingested/synchronized periodically, and each synchronization ingests new indicators and only old indicators that have been modified.
// Active threat indicators in Sentinel are renovated as ThreatIntelligenceIndicator events every ~12 days.
let query_frequency = 1h;
let query_period = 14d;
let query_wait = 0h;
let table_query_lookback = 14d;
let _TIBenignProperty =
    _GetWatchlist('ID-TIBenignProperty')
    | where Notes has_any ("[SourceIPAddress]")
    | project IndicatorId, BenignProperty
;
let _TIExcludedSources = toscalar(
    _GetWatchlist('Activity-ExpectedSignificantActivity')
    | where Activity == "ThreatIndicatorSource"
    | summarize make_list(Auxiliar)
    );
let _TITableMatch = (table_start: datetime, table_end: datetime, only_new_ti: boolean, ti_start: datetime = datetime(null)) {
    // Scheduled Analytics rules have a query period limit of 14d
    let _Indicators =// materialize(
        ThreatIntelligenceIndicator
        | where TimeGenerated > ago(query_period)
        // Take the earliest TimeGenerated and the latest column info
        | summarize hint.strategy=shuffle
            minTimeGenerated = min(TimeGenerated),
            arg_max(TimeGenerated, Active, Description, ActivityGroupNames, IndicatorId, ThreatType, DomainName, Url, ExpirationDateTime, ConfidenceScore, AdditionalInformation, ExternalIndicatorId, NetworkIP, NetworkSourceIP, NetworkDestinationIP, EmailSourceIpAddress)
            by IndicatorId
        // Remove inactive or expired indicators
        | where not(not(Active) or ExpirationDateTime < now())
        // Pick indicators that contain the desired entity type
        | mv-expand IPAddress = pack_array(NetworkIP, NetworkSourceIP, NetworkDestinationIP, EmailSourceIpAddress) to typeof(string)
        | where isnotempty(IPAddress)
        | extend TI_IPAddress = IPAddress
        // Remove indicators from specific sources
        | where not(AdditionalInformation has_any (_TIExcludedSources) or Description has_any (_TIExcludedSources))
        // Remove excluded indicators with benign properties
        | join kind=leftanti _TIBenignProperty on IndicatorId, $left.IPAddress == $right.BenignProperty
        // Deduplicate indicators by IPAddress column, equivalent to using join kind=innerunique afterwards
        | summarize hint.strategy=shuffle
            minTimeGenerated = min(minTimeGenerated),
            take_any(*)
            by IPAddress
        // If we want only new indicators, remove indicators received previously
        | where not(only_new_ti and minTimeGenerated < ti_start)
    //)
    ;
    //let _IndicatorsLength = toscalar(_Indicators | summarize count());
    //let _IndicatorsPrefilter = toscalar(
    //    _Indicators
    //    | extend AuxiliarField = tostring(extract(@"([0-9A-Za-f]+)[\.\:]", 1, IPAddress))
    //    | summarize make_set_if(AuxiliarField, isnotempty(AuxiliarField), 10000)
    //);
    //let _IndicatorsPrefilterLength = array_length(_IndicatorsPrefilter);
    let _TableEvents =
        AADServicePrincipalSignInLogs
        | where TimeGenerated between (table_start .. table_end)
        // Filter events that may contain indicators
        //| where not(_IndicatorsPrefilterLength < 10000 and not(IPAddress has_any (_IndicatorsPrefilter))) // "has_any" limit 10000
        //| where not(_IndicatorsLength < 1000000 and not(IPAddress in (toscalar(_Indicators | summarize make_list(TI_IPAddress))))) // "in" limit 1.000.000
        | project-rename AADServicePrincipalSignInLogs_TimeGenerated = TimeGenerated
    ;
    _Indicators
    | join kind=inner hint.strategy=shuffle _TableEvents on IPAddress
    // Take only a single event by key columns
    //| summarize hint.strategy=shuffle take_any(*) by IPAddress, ServicePrincipalName
    | project
        AADServicePrincipalSignInLogs_TimeGenerated,
        Description, ActivityGroupNames, IndicatorId, ThreatType, DomainName, Url, ExpirationDateTime, ConfidenceScore, AdditionalInformation, TI_IPAddress, NetworkIP, NetworkSourceIP, NetworkDestinationIP, EmailSourceIpAddress,
        Category, ServicePrincipalName, IPAddress, Location, ResultType, ResultDescription, AuthenticationProcessingDetails, AppId, ResourceDisplayName, ServicePrincipalId, ServicePrincipalCredentialKeyId, ServicePrincipalCredentialThumbprint, CorrelationId
};
union// isfuzzy=true
    // Match      current table events                                all indicators available
    _TITableMatch(ago(query_frequency + query_wait), ago(query_wait), false),
    // Match      past table events                                                          new indicators since last query execution
    _TITableMatch(ago(table_query_lookback + query_wait), ago(query_frequency + query_wait), true, ago(query_frequency))
| summarize arg_max(AADServicePrincipalSignInLogs_TimeGenerated, *) by IndicatorId, ServicePrincipalName
| extend
    timestamp = AADServicePrincipalSignInLogs_TimeGenerated,
    AccountCustomEntity = ServicePrincipalName,
    IPCustomEntity = TI_IPAddress

Explanation

This KQL query is designed to identify and analyze security events related to threat indicators and Azure Active Directory (AAD) service principal sign-ins. Here's a simplified breakdown of what the query does:

  1. Setup and Definitions:

    • The query defines several parameters and helper functions to manage time frames and filter criteria.
    • It uses watchlists to exclude certain benign properties and expected sources from the analysis.
  2. Threat Indicator Processing:

    • It retrieves threat indicators from the ThreatIntelligenceIndicator table, focusing on those generated within the last 14 days.
    • The query filters out inactive or expired indicators and those from excluded sources.
    • It further refines the list by removing indicators with benign properties and deduplicates them based on IP addresses.
  3. Event Matching:

    • The query looks at the AADServicePrincipalSignInLogs to find sign-in events that match the filtered threat indicators.
    • It considers both current and past events, matching them with all available indicators and newly received ones, respectively.
  4. Result Compilation:

    • The query combines the results from current and past event matches.
    • It summarizes the data to keep the most recent event for each unique combination of threat indicator and service principal name.
    • Finally, it extends the results with additional fields for easier analysis, such as timestamps and custom entities for accounts and IPs.

In essence, this query helps identify potential security threats by correlating threat intelligence indicators with AAD service principal sign-in events, while excluding known benign or expected activities.

Details

Jose Sebastián Canós profile picture

Jose Sebastián Canós

Released: December 13, 2023

Tables

ThreatIntelligenceIndicatorAADServicePrincipalSignInLogs

Keywords

ThreatIntelligenceIndicatorAADServicePrincipalSignInLogs

Operators

lethas_anyprojecttoscalarwheresummarizemake_listdatetimematerializeagoarg_maxmv-expandpack_arraytypeofisnotemptyextendjoinkindleftantion$left$righttake_anybyproject-renamebetweenunionisfuzzy

Actions

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