Query Details

Multiple IP Entity Storage Blob 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, 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 =
        StorageBlobLogs
        | where ingestion_time() between (table_start .. table_end)
        // Filter events that may contain indicators
        | where isnotempty(CallerIpAddress)
        //| where not(_IndicatorsPrefilterLength < 10000 and not(CallerIpAddress has_any (_IndicatorsPrefilter))) // "has_any" limit 10000
        | extend ClientIPValues = extract_all(@'\[?(::ffff:)?(?P<IPAddress>(\d+\.\d+\.\d+\.\d+)|[^\]%]+)(%\d+)?\]?([-:](?P<Port>\d+))?', dynamic(["IPAddress", "Port"]), CallerIpAddress)[0]
        | extend IPAddress = tostring(ClientIPValues[0])
        | where isnotempty(parse_ipv6(IPAddress)) or not(isnotempty(parse_ipv4(IPAddress)) and ipv4_is_private(IPAddress))
        //| where not(_IndicatorsLength < 1000000 and not(IPAddress in (toscalar(_Indicators | summarize make_list(TI_IPAddress))))) // "in" limit 1.000.000
        | project-rename StorageBlobLogs_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, AccountName
    | project
        StorageBlobLogs_TimeGenerated,
        Description,
        ActivityGroupNames,
        IndicatorId,
        ThreatType,
        DomainName,
        Url,
        ExpirationDateTime,
        ConfidenceScore,
        SourceSystem,
        Tags,
        AdditionalInformation,
        TI_IPAddress,
        NetworkIP,
        NetworkSourceIP,
        NetworkDestinationIP,
        EmailSourceIpAddress,
        _ResourceId,
        Category,
        AccountName,
        CallerIpAddress,
        IPAddress,
        OperationName,
        LastModifiedTime,
        AuthenticationType,
        AuthenticationHash,
        Protocol,
        StatusCode,
        StatusText,
        ReferrerHeader,
        Uri,
        ConditionsUsed,
        UserAgentHeader,
        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(StorageBlobLogs_TimeGenerated, *) by IndicatorId, AccountName
| extend
    timestamp = StorageBlobLogs_TimeGenerated,
    IPCustomEntity = TI_IPAddress

Explanation

This KQL (Kusto Query Language) script is designed to identify and analyze potential security threats by matching threat indicators with events in storage blob logs. Here's a simplified breakdown of what the query does:

  1. Setup Parameters:

    • Defines time intervals for querying data (query_frequency, query_period, query_wait, table_query_lookback).
  2. Load Watchlists:

    • Loads a watchlist of benign properties (_TIBenignProperty) to exclude certain indicators.
    • Loads a watchlist of excluded sources (_TIExcludedSources) to filter out indicators from specific sources.
  3. Define Indicator Matching Function (_TITableMatch):

    • Retrieves threat indicators from the ThreatIntelligenceIndicator table, focusing on recent and active indicators.
    • Filters out inactive, expired, or benign indicators.
    • Deduplicates indicators based on IP addresses.
    • Optionally filters to only include new indicators since the last query execution.
  4. Retrieve and Filter Events:

    • Extracts events from StorageBlobLogs within specified time frames.
    • Filters events to include only those with valid IP addresses, excluding private IPs.
  5. Match Indicators with Events:

    • Joins threat indicators with storage blob events based on IP addresses to find matches.
    • Projects relevant fields from both indicators and events for further analysis.
  6. Combine Results:

    • Uses union to combine results from current and past events with all available indicators.
    • Summarizes results to ensure only the most recent event per indicator and account is kept.
  7. Output:

    • Extends the output with additional fields for easier analysis, such as timestamp and IPCustomEntity.

In essence, this query is designed to continuously monitor and correlate threat intelligence indicators with storage blob logs to identify potential security threats, while excluding known benign or irrelevant data.

Details

Jose Sebastián Canós profile picture

Jose Sebastián Canós

Released: December 13, 2023

Tables

ThreatIntelligenceIndicatorStorageBlobLogs

Keywords

ThreatIntelligenceIndicatorStorageBlobLogs

Operators

lethas_anyprojecttoscalarwheresummarizemake_listdatetimematerializeagoarg_maxmv-expandpack_arraytypeofisnotemptyextendjoinkindleftantihint.strategytake_anybetweeningestion_timeextract_alldynamictostringparse_ipv6parse_ipv4ipv4_is_privateproject-renameunionisfuzzy

Actions

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