Multiple IP Entity Azure Activity
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 =
AzureActivity
| 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 IPAddress = CallerIpAddress //trim_start("::ffff:", CallerIpAddress)
//| where not(_IndicatorsLength < 1000000 and not(IPAddress in (toscalar(_Indicators | summarize make_list(TI_IPAddress))))) // "in" limit 1.000.000
| project-rename AzureActivity_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, Caller
| project
AzureActivity_TimeGenerated,
Description, ActivityGroupNames, IndicatorId, ThreatType, DomainName, Url, ExpirationDateTime, ConfidenceScore, AdditionalInformation, TI_IPAddress, NetworkIP, NetworkSourceIP, NetworkDestinationIP, EmailSourceIpAddress,
CategoryValue, Level, ResourceProviderValue, _ResourceId, Caller, CallerIpAddress, OperationNameValue, ActivityStatusValue, HTTPRequest, Properties, 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(AzureActivity_TimeGenerated, *) by IndicatorId, Caller
| extend
timestamp = AzureActivity_TimeGenerated,
AccountCustomEntity = Caller,
IPCustomEntity = TI_IPAddressExplanation
This query is designed to identify and analyze threat indicators from a feed that is regularly updated. Here's a simplified breakdown of what the query does:
-
Setup and Definitions:
- It defines several parameters like
query_frequency,query_period, andquery_waitto control the timing and scope of the query. - It retrieves two watchlists: one for benign properties (
_TIBenignProperty) and another for excluded sources (_TIExcludedSources).
- It defines several parameters like
-
Threat Indicator Processing:
- It fetches threat indicators from the
ThreatIntelligenceIndicatortable that have been generated within the last 14 days. - It filters out inactive or expired indicators and those from excluded sources.
- It removes indicators with benign properties and deduplicates them based on IP addresses.
- It fetches threat indicators from the
-
Event Matching:
- It retrieves events from the
AzureActivitytable within a specified time range that might contain threat indicators. - It matches these events with the processed threat indicators based on IP addresses.
- It retrieves events from the
-
Union and Summarization:
- It combines current events with all available indicators and past events with new indicators since the last query execution.
- It summarizes the results to get the most recent event for each indicator and caller combination.
-
Output:
- The final output includes details like the time of the Azure activity, threat description, threat type, confidence score, and other relevant information.
- It also extends the output with custom entities for account and IP address for further analysis.
In essence, this query helps in identifying and correlating threat indicators with Azure activity logs to detect potential security threats while excluding known benign or irrelevant data.
Details

Jose Sebastián Canós
Released: December 13, 2023
Tables
ThreatIntelligenceIndicatorAzureActivity
Keywords
ThreatIntelligenceIndicatorAzureActivityCallerIpAddressIndicatorIdNetworkIPNetworkSourceIPNetworkDestinationIPEmailSourceIpAddress
Operators
lethas_anyprojecttoscalarwheresummarizemake_listdatetimematerializeagoarg_maxmv-expandisnotemptyextendjoinkindleftantitake_anybybetweenproject-renameunion