Dataverse - New non-interactive identity granted access

Status: available
Severity: informational
Time window: 14d
Source: github.com/Azure/Azure-Sentinel

Identifies API level access grants, either via the delegated permissions of a Microsoft Entra application or direct assignment within Dataverse as an application user.

MITRE ATT&CK coverage

Tactic	Techniques
Persistence	`T1078` Valid Accounts, `T1098` Account Manipulation
Privilege Escalation	`T1078` Valid Accounts, `T1098` Account Manipulation
Persistence	`T0859` Valid Accounts
Lateral Movement	`T0859` Valid Accounts

Rule body kusto

id: 682e230c-e5da-4085-8666-701d1f1be7de
kind: Scheduled
name: Dataverse - New non-interactive identity granted access
description: Identifies API level access grants, either via the delegated permissions
  of a Microsoft Entra application or direct assignment within Dataverse as an application
  user.
severity: Informational
status: Available
requiredDataConnectors:
  - connectorId: Dataverse
    dataTypes:
      - DataverseActivity
  - connectorId: AzureActiveDirectory
    dataTypes:
      - AuditLogs
queryFrequency: 1h
queryPeriod: 14d
triggerOperator: gt
triggerThreshold: 0
tactics:
  - Persistence
  - LateralMovement
  - PrivilegeEscalation
relevantTechniques:
  - T1098
  - T0859
  - T1078
query: |
  let dataverse_app_id = "00000007-0000-0000-c000-000000000000";
  let query_frequency = 1h;
  let azure_ad_changes = AuditLogs
      | where TimeGenerated >= ago(query_frequency)
      | where OperationName =~ 'Update application'
      | where TargetResources has dataverse_app_id
      | extend TargetAppName = tostring(TargetResources[0].displayName)
      | extend TargetAppId = tostring(TargetResources[0].id)
      | extend UserId = tostring(parse_json(tostring(InitiatedBy.user)).userPrincipalName)
      | extend ClientIp = tostring(parse_json(tostring(InitiatedBy.user)).ipAddress)
      | extend NewData = tostring(parse_json(tostring(parse_json(TargetResources)[0].modifiedProperties))[0].newValue)
      | where NewData has dataverse_app_id;
  let dataverse_changes = DataverseActivity
      | where TimeGenerated >= ago(query_frequency)
      | where (Message == "Create" and EntityName == "systemuser" and parse_json(Fields)[0].Name == "applicationid")
      | extend TargetAppId = tostring(Fields[0].Value);
  union azure_ad_changes, dataverse_changes
  | extend
      CloudAppId = int(32780),
      AccountName = tostring(split(UserId, '@')[0]),
      UPNSuffix = tostring(split(UserId, '@')[1])
  | project
      TimeGenerated,
      UserId,
      ClientIp,
      TargetAppName,
      TargetAppId,
      InstanceUrl,
      CloudAppId,
      AccountName,
      UPNSuffix
eventGroupingSettings:
  aggregationKind: AlertPerResult
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: Name
        columnName: AccountName
      - identifier: UPNSuffix
        columnName: UPNSuffix
  - entityType: CloudApplication
    fieldMappings:
      - identifier: AppId
        columnName: CloudAppId
      - identifier: InstanceName
        columnName: InstanceUrl
  - entityType: IP
    fieldMappings:
      - identifier: Address
        columnName: ClientIp
  - entityType: Account
    fieldMappings:
      - identifier: AadUserId
        columnName: TargetAppId
alertDetailsOverride:
  alertDisplayNameFormat: Dataverse - new non-interactive access granted
  alertDescriptionFormat: '{{UserId}} granted access to an Azure AD app {{{TargetAppName}}.
    Check to validate this access was authorized.'
version: 3.2.0

Stages and Predicates

Parameters

let dataverse_app_id = "00000007-0000-0000-c000-000000000000";
let query_frequency = 1h;

Let binding: `azure_ad_changes`

let azure_ad_changes = AuditLogs
    | where TimeGenerated >= ago(query_frequency)
    | where OperationName =~ 'Update application'
    | where TargetResources has dataverse_app_id
    | extend TargetAppName = tostring(TargetResources[0].displayName)
    | extend TargetAppId = tostring(TargetResources[0].id)
    | extend UserId = tostring(parse_json(tostring(InitiatedBy.user)).userPrincipalName)
    | extend ClientIp = tostring(parse_json(tostring(InitiatedBy.user)).ipAddress)
    | extend NewData = tostring(parse_json(tostring(parse_json(TargetResources)[0].modifiedProperties))[0].newValue)
    | where NewData has dataverse_app_id;

Derived from dataverse_app_id, query_frequency.

Let binding: `dataverse_changes`

let dataverse_changes = DataverseActivity
    | where TimeGenerated >= ago(query_frequency)
    | where (Message == "Create" and EntityName == "systemuser" and parse_json(Fields)[0].Name == "applicationid")
    | extend TargetAppId = tostring(Fields[0].Value);

Derived from query_frequency.

union (2 sources)

Each leg below queries one source; the rule matches if any leg does. Sources: azure_ad_changes, dataverse_changes

Leg 1: `azure_ad_changes`

Leg 2: `dataverse_changes`

Applied to the combined result

| extend
    CloudAppId = int(32780),
    AccountName = tostring(split(UserId, '@')[0]),
    UPNSuffix = tostring(split(UserId, '@')[1]) | project
    TimeGenerated,
    UserId,
    ClientIp,
    TargetAppName,
    TargetAppId,
    InstanceUrl,
    CloudAppId,
    AccountName,
    UPNSuffix

Indicators

Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.

Field	Kind	Values
`EntityName`	eq	`systemuser` transforms: `cased` corpus 3 (kusto 3)
`Message`	eq	`Create` transforms: `cased` corpus 2 (kusto 2)
`Name`	eq	`applicationid` transforms: `cased`
`NewData`	match	`00000007-0000-0000-c000-000000000000` transforms: `term`
`OperationName`	eq	`Update application`
`TargetResources`	match	`00000007-0000-0000-c000-000000000000` transforms: `term`

Output fields

Fields the rule emits when it matches. Chronicle authors list these in the outcome block; they appear on the detection and $risk_score drives alerting. Sentinel / Defender XDR rules build them up through project / summarize / extend stages. Sentinel maps these into alert fields via entityMappings and customDetails; Defender XDR custom detections surface them as alert fields directly.

Field	Source
`AccountName`	`project`
`ClientIp`	`project`
`CloudAppId`	`project`
`InstanceUrl`	`project`
`TargetAppId`	`project`
`TargetAppName`	`project`
`TimeGenerated`	`project`
`UPNSuffix`	`project`
`UserId`	`project`

`j` / `k`	Scroll down / up
`d` / `u`	Half-page down / up
`gg` / `G`	Top / bottom
`h` / `l`	History back / forward
`f`	Follow link (`Shift` = new tab)
`/`	Focus search
`?`	Toggle this help
`↑` / `↓`	Navigate search results
`Enter`	Open highlighted result
`Esc`	Close results / dialog

`type:`	`events` / `rules` / `providers`
`vendor:`	`sigma` / `elastic` / `splunk` / `kusto` / `chronicle` (vendor name alone also works: `sigma:`, `kql:`, `secops:`…)
`tactic:`	TA-id, slug, or name: `credential_access`, `TA0006`
`technique:`	technique or sub-technique ID: `T1003`, `T1003.001` (alias `tech:`)
`severity:`	`critical` / `high` / `medium` / `low` / `informational` (alias `sev:`)
`risk_score`	Numeric comparison on the Elastic risk score (0 to 100): `risk_score>50`, `risk_score<=20`, `risk_score=99` (alias `risk`; Elastic rules only)
`stages:`	Rules with exactly N pipeline stages
`correlation:`	`single_event` / `sequence` / `alternatives` / `alternatives_cross_log` / `all_required` / `correlated`
`with:`	Co-occurrence event-id; stacks (`with:4624 with:4769`) to require all, while a comma list in one occurrence (`with:4624,4769`) is an either-or group. Implies multi-event
`like:`	Structural neighbors of a rule slug (equivalents + subsumption stricter / broader): `like:comsvcs_lsass_memory_dump-splunk-sysmon`
`groupby:`	Entity-grouping substring match against `group_by_keys`: `groupby:user`, `groupby:host`
`uses:`	Rules whose predicate tree touches the field (any kind, any value): `uses:CommandLine`
`excludes:`	Rules with top-level `not()` clauses on the field (FP whitelists): `excludes:ParentImage`
`field:` / `value:`	Predicate search; narrows rule cards to those with a matching leaf and drives the indicator tier. Unquoted = substring, wildcards allowed (`value:mimikatz`)
`indicator:`	Shorthand for `field:F value:V`: `indicator:Image=*\powershell.exe`
`kind:`	Filter by predicate kind. Narrows rule cards to those carrying a matching predicate leaf (`vendor:elastic kind:cidr_match`) and drives the indicator tier: `contains` / `starts_with` / `ends_with` / `regex` / `cidr` / `eq` / `in` … (operator aliases `op:`/`match:`)
`has:` / `no:`	`sample`, `field`, `notes`, `refs`, `trace`, `thirdparty`, `rule`, `pattern`, `timewindow`, `threshold`, `newterms`, `sigma`/`elastic`/`splunk`/`kusto`/`chronicle`
`-op:val`	Exclude matches; works on most operators but not `type:`/`like:`/`has:`/`no:` (use `no:<flag>` to exclude a rule flag): `tactic:execution -vendor:splunk`. Standalone `-kind:`/`-field:`/`-value:` drop every rule carrying a matching predicate leaf (`type:rules -kind:is_null`)
`field:"…"` / `value:"…"`	Quoted value = anchored exact match (also allows spaces): `value:"net user"`
`a,b`	Comma = OR inside one operator (`vendor:sigma,elastic`, `severity:high,critical`); repeating a facet merges the same way. `field:`/`value:` never split (literal commas)
`vendors:` / `stage:`	Singular and plural spellings fold to the canonical operator and value: `tactics:` = `tactic:`, `type:event` = `type:events`, `correlation:sequences` = `correlation:sequence`, `has:thresholds` = `has:threshold`
`"quoted phrase"`	Exact-match a multi-word phrase (free text)

Dataverse - New non-interactive identity granted access

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: `azure_ad_changes`

Let binding: `dataverse_changes`

union (2 sources)

Leg 1: `azure_ad_changes`

Leg 2: `dataverse_changes`

Applied to the combined result

Indicators

Output fields

Keyboard shortcuts

Search operators

Dataverse - New non-interactive identity granted access

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: azure_ad_changes

Let binding: dataverse_changes

union (2 sources)

Leg 1: azure_ad_changes

Leg 2: dataverse_changes

Applied to the combined result

Indicators

Output fields

Let binding: `azure_ad_changes`

Let binding: `dataverse_changes`

Leg 1: `azure_ad_changes`

Leg 2: `dataverse_changes`