Multiple IP Entity Azure Data Lake
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.DATALAKESTORE"
and ResourceType == "ACCOUNTS"
and Category in ("Requests")
// Filter events that may contain indicators
| where isnotempty(CallerIPAddress)
//| where not(_IndicatorsPrefilterLength < 10000 and not(CallerIPAddress has_any (_IndicatorsPrefilter))) // "has_any" limit 10000
| extend IPAddress = trim_start("::ffff:", CallerIPAddress)
| 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
| 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,
identity_s,
CallerIPAddress,
OperationName,
ResultType,
HttpMethod_s,
Path_s,
QueryParameters_s,
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(AzureDiagnostics_TimeGenerated, *) by IndicatorId, ResourceId
| extend
timestamp = AzureDiagnostics_TimeGenerated,
IPCustomEntity = TI_IPAddressExplanation
This query is designed to identify and analyze potential security threats by matching threat indicators with events in Azure Diagnostics logs. Here's a simplified breakdown of what the query does:
-
Setup and Configuration:
- The query defines several parameters and helper functions to control its behavior, such as how often it runs (
query_frequency), the period it covers (query_period), and how far back it looks for data (table_query_lookback).
- The query defines several parameters and helper functions to control its behavior, such as how often it runs (
-
Threat Indicator Preparation:
- It retrieves threat indicators from a feed, focusing on those that are active and not expired.
- It filters out indicators from certain sources and those with benign properties, ensuring only relevant threat indicators are considered.
-
Event Filtering:
- It examines Azure Diagnostics logs for events related to data lake store accounts, specifically looking for those with non-private IP addresses that might match the threat indicators.
-
Matching Process:
- The query attempts to match the filtered threat indicators with the filtered events from the logs.
- It performs this matching for both current events and past events, considering only new indicators for past events.
-
Result Compilation:
- It compiles the results, ensuring each match is unique by using the most recent event for each indicator-resource pair.
- The output includes detailed information about the matched threat indicators and the corresponding events, such as timestamps, IP addresses, and other relevant details.
In essence, this query helps identify potential security threats by correlating known threat indicators with actual events in Azure, allowing for timely detection and response to suspicious activities.
Details

Jose Sebastián Canós
Released: December 13, 2023
Tables
ThreatIntelligenceIndicatorAzureDiagnostics
Keywords
ThreatIntelligenceIndicatorAzureDiagnosticsMicrosoftDataLakeStoreAccountsRequestsCallerIPAddressResourceProviderResourceTypeCategoryIndicatorIdResourceId
Operators
lethas_anyprojecttoscalarwheresummarizemake_listdatetimematerializeagominarg_maxmv-expandpack_arraytypeofisnotemptyextendjoinkindleftantitrim_startparse_ipv4ipv4_is_privateipv4_is_in_any_rangeproject-renameinunionisfuzzyby