Query Details

Multiple IP Entity Storage File 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 =
        StorageFileLogs
        | 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 StorageFileLogs_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
        StorageFileLogs_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(StorageFileLogs_TimeGenerated, *) by IndicatorId, AccountName
| extend
    timestamp = StorageFileLogs_TimeGenerated,
    IPCustomEntity = TI_IPAddress

Explanation

This query is designed to identify and analyze potential security threats by matching threat indicators with events in a log table. Here's a simplified breakdown of what the query does:

  1. Setup and Parameters:

    • The query is set to run every hour (query_frequency = 1h) and looks back over a 14-day period (query_period = 14d).
    • It uses watchlists to exclude certain benign properties and expected sources from the analysis.
  2. Threat Indicators Processing:

    • It retrieves 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 expands the indicators to include various IP address fields and removes duplicates.
  3. Log Events Processing:

    • It retrieves events from the StorageFileLogs table within a specified time range.
    • It filters these events to include only those with non-empty caller IP addresses and excludes private IP addresses.
  4. Matching Indicators with Events:

    • The query matches threat indicators with log events based on IP addresses.
    • It combines current events with all available indicators and past events with new indicators since the last query execution.
  5. Result Compilation:

    • The results are summarized to keep the most recent event for each indicator and account name combination.
    • The output includes various details about the threat indicators and the corresponding log events, such as timestamps, descriptions, threat types, and more.

Overall, the query aims to detect potential security threats by correlating threat intelligence data with actual network events, while excluding known benign or expected activities.

Details

Jose Sebastián Canós profile picture

Jose Sebastián Canós

Released: December 13, 2023

Tables

ThreatIntelligenceIndicatorStorageFileLogs

Keywords

ThreatIntelligenceIndicatorStorageFileLogs

Operators

lethas_anyprojecttoscalarwheresummarizemake_listarg_maxmv-expandisnotemptyextendjoinleftantiproject-renameextract_allparse_ipv6parse_ipv4ipv4_is_privateinunionagobetween

Actions

GitHub