// Set a mass export threshold for users who have no historical activity.
let mass_export_threshold = 10000;
let query_lookback = 14d;
let query_frequency = 1h;
let export_activity = DataverseActivity
| where Message == "ExportToExcel"
| extend QueryCount = iif(QueryResults has ",", todouble(countof(tostring(QueryResults), ',') + 1), double(1));
let current_activity = export_activity
| where TimeGenerated > ago(query_frequency)
| extend RecordId = split(QueryResults, ",")
| summarize
FirstEvent = min(TimeGenerated),
CurrentExportRate = sum(QueryCount),
SampleRecordIds = make_set(RecordId, 1000)
by UserId, InstanceUrl;
let historical_activity = export_activity
| where TimeGenerated between(ago(query_lookback) .. ago(query_frequency))
| summarize HistoricalBaseline = sum(QueryCount) by HistoricalUserId = UserId, InstanceUrl;
current_activity
| join kind=leftouter(historical_activity) on $left.UserId == $right.HistoricalUserId, InstanceUrl
| extend BaselineThreshold = iif(isnotnull(HistoricalBaseline), HistoricalBaseline, todouble(mass_export_threshold))
| where CurrentExportRate > BaselineThreshold
| join kind=inner(export_activity
| where TimeGenerated > ago(query_frequency)
| summarize EntityCount = sum(QueryCount) by UserId, ClientIp, InstanceUrl, EntityName
| extend Details = bag_pack("EntityName", EntityName, "EntityCount", EntityCount)
| summarize Details = make_set(Details, 100) by UserId, ClientIp, InstanceUrl)
on UserId, InstanceUrl
| extend
CloudAppId = int(32780),
AccountName = tostring(split(UserId, '@')[0]),
UPNSuffix = tostring(split(UserId, '@')[1])
| project
FirstEvent,
UserId,
ClientIp,
BaselineThreshold,
CurrentExportRate,
Details,
SampleRecordIds,
InstanceUrl,
AccountName,
UPNSuffix,
CloudAppId
name: Dataverse - Mass export of records to Excel
relevantTechniques:
- T1567
id: 57000f0d-ff5d-4166-94b6-aa5fb62b16ec
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft Business Applications/Analytic Rules/Dataverse - Mass export of records to Excel.yaml
requiredDataConnectors:
- dataTypes:
- DataverseActivity
connectorId: Dataverse
eventGroupingSettings:
aggregationKind: AlertPerResult
version: 3.2.0
severity: Low
triggerThreshold: 0
queryPeriod: 14d
entityMappings:
- fieldMappings:
- identifier: Name
columnName: AccountName
- identifier: UPNSuffix
columnName: UPNSuffix
entityType: Account
- fieldMappings:
- identifier: AppId
columnName: CloudAppId
- identifier: InstanceName
columnName: InstanceUrl
entityType: CloudApplication
- fieldMappings:
- identifier: Address
columnName: ClientIp
entityType: IP
alertDetailsOverride:
alertDisplayNameFormat: 'Dataverse - mass export to Excel activity in {{{InstanceUrl}} '
alertDescriptionFormat: User {{UserId}} exported {{{CurrentExportRate}} records using the ExportToExcel function in Dataverse.
queryFrequency: 1h
status: Available
query: |
// Set a mass export threshold for users who have no historical activity.
let mass_export_threshold = 10000;
let query_lookback = 14d;
let query_frequency = 1h;
let export_activity = DataverseActivity
| where Message == "ExportToExcel"
| extend QueryCount = iif(QueryResults has ",", todouble(countof(tostring(QueryResults), ',') + 1), double(1));
let current_activity = export_activity
| where TimeGenerated > ago(query_frequency)
| extend RecordId = split(QueryResults, ",")
| summarize
FirstEvent = min(TimeGenerated),
CurrentExportRate = sum(QueryCount),
SampleRecordIds = make_set(RecordId, 1000)
by UserId, InstanceUrl;
let historical_activity = export_activity
| where TimeGenerated between(ago(query_lookback) .. ago(query_frequency))
| summarize HistoricalBaseline = sum(QueryCount) by HistoricalUserId = UserId, InstanceUrl;
current_activity
| join kind=leftouter(historical_activity) on $left.UserId == $right.HistoricalUserId, InstanceUrl
| extend BaselineThreshold = iif(isnotnull(HistoricalBaseline), HistoricalBaseline, todouble(mass_export_threshold))
| where CurrentExportRate > BaselineThreshold
| join kind=inner(export_activity
| where TimeGenerated > ago(query_frequency)
| summarize EntityCount = sum(QueryCount) by UserId, ClientIp, InstanceUrl, EntityName
| extend Details = bag_pack("EntityName", EntityName, "EntityCount", EntityCount)
| summarize Details = make_set(Details, 100) by UserId, ClientIp, InstanceUrl)
on UserId, InstanceUrl
| extend
CloudAppId = int(32780),
AccountName = tostring(split(UserId, '@')[0]),
UPNSuffix = tostring(split(UserId, '@')[1])
| project
FirstEvent,
UserId,
ClientIp,
BaselineThreshold,
CurrentExportRate,
Details,
SampleRecordIds,
InstanceUrl,
AccountName,
UPNSuffix,
CloudAppId
tactics:
- Exfiltration
kind: Scheduled
description: Identifies users exporting a large amount of records from Dynamics 365 to Excel, significantly more records exported than any other recent activity by that user. Large exports from users with no recent activity are identified using a predefined threshold.
triggerOperator: gt