Query Details

Multiple IP Entity Audit 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 =
        AuditLogs
        | where TimeGenerated between (table_start .. table_end)
        | extend UserPrincipalName = tostring(InitiatedBy.user.userPrincipalName)
        | extend IPAddress = tostring(InitiatedBy[tostring(bag_keys(InitiatedBy)[0])].ipAddress)
        // Filter events that may contain indicators
        | where not(Category == "UserManagement" and LoggedByService == "Self-service Password Management" and OperationName == "Self-service password reset flow activity progress" and (Result == "failure" or (Result == "success" and ResultReason == "User submitted their user ID")))
        | where isnotempty(IPAddress)
        //| where not(_IndicatorsPrefilterLength < 10000 and not(InitiatedBy 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 AuditLogs_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, InitiatedBy
    | project
        AuditLogs_TimeGenerated,
        Description, ActivityGroupNames, IndicatorId, ThreatType, DomainName, Url, ExpirationDateTime, ConfidenceScore, AdditionalInformation, TI_IPAddress, NetworkIP, NetworkSourceIP, NetworkDestinationIP, EmailSourceIpAddress,
        Category, OperationName, Result, ResultDescription, Identity, UserPrincipalName, IPAddress, InitiatedBy = tostring(InitiatedBy), LoggedByService, AdditionalDetails, TargetResources, 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(AuditLogs_TimeGenerated, *) by IndicatorId, InitiatedBy
| extend
    timestamp = AuditLogs_TimeGenerated,
    AccountCustomEntity = UserPrincipalName,
    IPCustomEntity = TI_IPAddress

Explanation

This query is designed to identify and correlate threat indicators with audit log events in Microsoft Sentinel. Here's a simplified breakdown of what it does:

  1. Setup and Parameters:

    • It defines several parameters like query_frequency, query_period, query_wait, and table_query_lookback to control the time range and frequency of the query execution.
    • It retrieves benign properties and excluded sources from watchlists to filter out non-threatening indicators.
  2. Threat Indicator Processing:

    • It fetches threat indicators from the ThreatIntelligenceIndicator table that are active and not expired.
    • It filters out indicators from specific sources and those with benign properties.
    • It deduplicates indicators based on IP addresses and optionally filters out indicators that were received before a certain time.
  3. Audit Log Processing:

    • It retrieves events from the AuditLogs table within a specified time range.
    • It filters out certain types of events that are not relevant for threat detection.
    • It extracts IP addresses from the events for comparison with threat indicators.
  4. Correlation:

    • It joins the processed threat indicators with audit log events based on matching IP addresses.
    • It ensures that only unique events are considered for each indicator and user combination.
  5. Output:

    • It combines results from current and past events to identify new threats.
    • It summarizes the results to show the most recent event for each indicator and user combination.
    • It extends the results with additional fields for easier analysis, such as timestamp, AccountCustomEntity, and IPCustomEntity.

In essence, this query helps in detecting potential security threats by correlating known threat indicators with user activities logged in audit events, while filtering out non-threatening or irrelevant data.

Details

Jose Sebastián Canós profile picture

Jose Sebastián Canós

Released: December 13, 2023

Tables

ThreatIntelligenceIndicatorAuditLogs

Keywords

ThreatIntelligenceIndicatorAuditLogsUserPrincipalNameIPAddressIndicatorIdActivityGroupNamesThreatTypeDomainNameUrlExpirationDateTimeConfidenceScoreAdditionalInformationNetworkIPNetworkSourceIPNetworkDestinationIPEmailSourceIpAddressCategoryOperationNameResultResultDescriptionIdentityLoggedByServiceAdditionalDetailsTargetResourcesCorrelationId

Operators

lethas_anyprojecttoscalarwheresummarizemake_listarg_maxmv-expandisnotemptyextendjoinkind=leftantiproject-renamebetweentostringbag_keysunionby

Actions

GitHub