Query Details

Multiple IP Entity AAD Non Interactive User 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 _UncompromisedFailureResultTypes = toscalar(
    _GetWatchlist('ResultType-SignInLogsErrorCodes')
    | where isnotempty(ResultDescription) and not(Notes has_any ("[Success]", "[Expired]"))
    | summarize make_list(ResultType)
    );
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 =
        AADNonInteractiveUserSignInLogs
        | where TimeGenerated between (table_start .. table_end)
        // Filter events that may contain indicators
        | where not(ResultType in (_UncompromisedFailureResultTypes))
        //| 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 AADNonInteractiveUserSignInLogs_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, UserId
    | project
        AADNonInteractiveUserSignInLogs_TimeGenerated,
        Description, ActivityGroupNames, IndicatorId, ThreatType, DomainName, Url, ExpirationDateTime, ConfidenceScore, AdditionalInformation, TI_IPAddress, NetworkIP, NetworkSourceIP, NetworkDestinationIP, EmailSourceIpAddress,
        Category, UserPrincipalName, UserDisplayName, IPAddress, Location, ResultType, ResultDescription, ClientAppUsed, AppDisplayName, ResourceDisplayName, DeviceDetail, UserAgent, AuthenticationDetails, ConditionalAccessPolicies, RiskState, RiskEventTypes, RiskLevelDuringSignIn, RiskLevelAggregated, UserId, OriginalRequestId, 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(AADNonInteractiveUserSignInLogs_TimeGenerated, *) by IndicatorId, UserId
| extend
    timestamp = AADNonInteractiveUserSignInLogs_TimeGenerated,
    AccountCustomEntity = UserPrincipalName,
    IPCustomEntity = TI_IPAddress

Explanation

This query is designed to identify and analyze potential security threats by matching threat indicators with user sign-in logs. 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 periods 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 a data source, focusing on those that are active and not expired.
    • The query filters out indicators from specific sources and those with benign properties.
    • It ensures that only new or modified indicators are considered by comparing timestamps.
  3. User Sign-In Log Analysis:

    • It examines non-interactive user sign-in logs within a specified time frame.
    • The query filters out logs with certain result types that are considered non-compromised.
  4. Matching and Joining:

    • The query matches threat indicators with sign-in logs based on IP addresses.
    • It performs an inner join to find logs that correspond to the threat indicators.
  5. Result Compilation:

    • The query compiles results by taking the most recent log entry for each indicator and user combination.
    • It extends the results with additional information such as timestamps and user details for further analysis.

In summary, this query is used to detect potential security incidents by correlating threat intelligence data with user sign-in activities, while excluding known benign or expected activities.

Details

Jose Sebastián Canós profile picture

Jose Sebastián Canós

Released: December 13, 2023

Tables

ThreatIntelligenceIndicatorAADNonInteractiveUserSignInLogs

Keywords

ThreatIntelligenceIndicatorAADNonInteractiveUserSignInLogsUserDevice

Operators

lethas_anyprojecttoscalarwhereisnotemptyandnotsummarizemake_listdatetimeagomaterializeminarg_maxmv-expandextendjoinkindleftantibytake_anybetweeninproject-renameunion*

Actions

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