Query Details

Multiple IP Entity Azure SQL

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, SourceSystem, Tags, 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 =
        AzureDiagnostics
        | where TimeGenerated between (table_start .. table_end)
        | where ResourceProvider == "MICROSOFT.SQL"
        | extend IPAddress = column_ifexists("client_ip_s", "")
        // Filter events that may contain indicators
        | where isnotempty(IPAddress) and (isnotempty(parse_ipv4(IPAddress)) or isnotempty(parse_ipv6(IPAddress)))
        //| where not(_IndicatorsPrefilterLength < 10000 and not(IPAddress has_any (_IndicatorsPrefilter))) // "has_any" limit 10000
        | where not(isnotempty(parse_ipv4(IPAddress)) and (ipv4_is_private(IPAddress) or ipv4_is_in_any_range(IPAddress, "0.0.0.0/8", "127.0.0.0/8")))
        //| where not(_IndicatorsLength < 1000000 and not(IPAddress in (toscalar(_Indicators | summarize make_list(TI_IPAddress))))) // "in" limit 1.000.000
        | extend
            HostName = column_ifexists("host_name_s", ""),
            ApplicationName = column_ifexists("application_name_s", ""),
            ActionName = column_ifexists("action_name_s", ""),
            ClassTypeDescription = column_ifexists("class_type_description_s", ""),
            ServerPrincipalName = column_ifexists("server_principal_name_s", ""),
            ServerInstanceName = column_ifexists("server_instance_name_s", ""),
            LogicalServerName = column_ifexists("LogicalServerName_s", ""),
            DatabasePrincipalName = column_ifexists("database_principal_name_s", ""),
            DatabaseName = column_ifexists("database_name_s", ""),
            AzureDiagnostics_AdditionalInformation = column_ifexists("additional_information_s", "")
        | project-rename AzureDiagnostics_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, ResourceId
    | project
        AzureDiagnostics_TimeGenerated,
        Description,
        ActivityGroupNames,
        IndicatorId,
        ThreatType,
        DomainName,
        Url,
        ExpirationDateTime,
        ConfidenceScore,
        SourceSystem,
        Tags,
        AdditionalInformation,
        TI_IPAddress,
        NetworkIP,
        NetworkSourceIP,
        NetworkDestinationIP,
        EmailSourceIpAddress,
        Category,
        ResourceId,
        ResourceType,
        OperationName,
        ActionName,
        HostName,
        IPAddress,
        ApplicationName,
        ClassTypeDescription,
        ServerPrincipalName,
        ServerInstanceName,
        LogicalServerName,
        DatabasePrincipalName,
        DatabaseName,
        AzureDiagnostics_AdditionalInformation
};
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(AzureDiagnostics_TimeGenerated, *) by IndicatorId, ResourceId
| extend
    timestamp = AzureDiagnostics_TimeGenerated,
    HostCustomEntity = HostName,
    IPCustomEntity = TI_IPAddress

Explanation

This query is designed to identify and correlate threat indicators with events in Azure SQL databases. Here's a simplified breakdown of what it does:

  1. Setup and Definitions:

    • It defines several parameters and helper functions to manage the query's time frames and exclusions.
    • It retrieves lists of 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, focusing on those generated in the last 14 days.
    • It filters out inactive or expired indicators and those from excluded sources.
    • It further refines the list by removing indicators with benign properties and deduplicating them based on IP addresses.
  3. Event Matching:

    • It retrieves events from the AzureDiagnostics table related to Microsoft SQL resources, focusing on those generated within specific time frames.
    • It filters these events to ensure they contain valid IP addresses and excludes private or reserved IP ranges.
  4. Correlation:

    • It joins the filtered threat indicators with the filtered SQL events based on matching IP addresses.
    • The query then selects relevant fields from both the indicators and events for further analysis.
  5. Output:

    • It combines results from current and past events with new indicators, ensuring that each indicator-event pair is unique.
    • The final output includes details about the threat indicators and the associated SQL events, with custom entities for further investigation.

In essence, this query helps identify potential security threats by correlating known threat indicators with SQL database events, allowing security teams to focus on relevant incidents.

Details

Jose Sebastián Canós profile picture

Jose Sebastián Canós

Released: December 13, 2023

Tables

ThreatIntelligenceIndicatorAzureDiagnostics

Keywords

ThreatIntelligenceIndicatorAzureDiagnosticsMicrosoftSqlHostNameApplicationNameActionNameClassTypeDescriptionServerPrincipalNameServerInstanceNameLogicalServerNameDatabasePrincipalNameDatabaseNameResourceIdResourceTypeOperationNameTagsSourceSystemConfidenceScoreExpirationDateTimeThreatTypeDomainNameUrlActivityGroupNamesDescription

Operators

lethas_anyprojecttoscalarwheresummarizemake_listdatetimeagomaterializearg_maxnotmv-expandisnotemptyextendjoinleftanticolumn_ifexistsproject-renamebetweenparse_ipv4parse_ipv6ipv4_is_privateipv4_is_in_any_rangeinunionisfuzzyby

Actions

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