Dataverse - New Dataverse application user activity type

Status: available
Severity: medium
Time window: 14d
Group by: InstanceUrl, UserId
Source: github.com/Azure/Azure-Sentinel

Identifies new or previously unseen activity types associated with Dataverse application (non-interactive) user.

MITRE ATT&CK coverage

Tactic	Techniques
Privilege Escalation	`T1078` Valid Accounts
Credential Access	`T1635` Steal Application Access Token
Execution	`T0871` Execution through API

Rule body kusto

id: 5c768e7d-7e5e-4d57-80d4-3f50c96fbf70
kind: Scheduled
name: Dataverse - New Dataverse application user activity type
description: Identifies new or previously unseen activity types associated with Dataverse
  application (non-interactive) user.
severity: Medium
status: Available
requiredDataConnectors:
  - connectorId: Dataverse
    dataTypes:
      - DataverseActivity
queryFrequency: 1h
queryPeriod: 14d
triggerOperator: gt
triggerThreshold: 0
tactics:
  - CredentialAccess
  - Execution
  - PrivilegeEscalation
relevantTechniques:
  - T1635
  - T0871
  - T1078
query: |
  let query_frequency = 1h;
  let query_lookback = 14d;
  let app_user_regex = "^[0-9A-Fa-f]{8}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{12}\\.com$";
  let guid_regex = "([0-9A-Fa-f]{8}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{12})";
  let application_users = DataverseActivity
      | where UserId !endswith "@onmicrosoft.com" and UserId != "Unknown"
      | summarize by UserId
      | where split(UserId, "@")[1] matches regex app_user_regex;
  let historical_app_activity = application_users
      | join kind = inner (
          DataverseActivity
          | where TimeGenerated between(ago(query_lookback) .. ago(query_frequency))
          | summarize by UserId, EntityName, Message, InstanceUrl)
          on
          UserId;
  let current_activity = application_users
      | join kind= inner (
          DataverseActivity
          | where TimeGenerated >= ago(query_frequency)
          | summarize by UserId, EntityName, Message, InstanceUrl)
          on
          UserId;
  current_activity
  | join kind = leftanti (historical_app_activity) on UserId, Message, EntityName, InstanceUrl
  | summarize NewActivities = make_set(strcat(Message, " ", EntityName), 1000) by UserId, InstanceUrl
  | extend
      AadUserId = extract(guid_regex, 1, tostring(split(UserId, "@")[0])),
      CloudAppId = int(32780)
  | project
      UserId,
      NewActivities,
      InstanceUrl,
      AadUserId,
      CloudAppId
eventGroupingSettings:
  aggregationKind: SingleAlert
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: AadUserId
        columnName: AadUserId
  - entityType: CloudApplication
    fieldMappings:
      - identifier: AppId
        columnName: CloudAppId
      - identifier: InstanceName
        columnName: InstanceUrl
alertDetailsOverride:
  alertDisplayNameFormat: 'Dataverse - Unusual non-interactive account activity in
    {{InstanceUrl}} '
  alertDescriptionFormat: '{{UserId}} generated new activities in {{InstanceUrl}}
    which had not been seen previously in the Dataverse.'
version: 3.2.0

Stages and Predicates

Parameters

let query_frequency = 1h;
let query_lookback = 14d;
let app_user_regex = "^[0-9A-Fa-f]{8}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{12}\\.com$";
let guid_regex = "([0-9A-Fa-f]{8}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{12})";

Let binding: `historical_app_activity`

let historical_app_activity = application_users
    | join kind = inner (
        DataverseActivity
        | where TimeGenerated between(ago(query_lookback) .. ago(query_frequency))
        | summarize by UserId, EntityName, Message, InstanceUrl)
        on
        UserId;

Derived from query_frequency, query_lookback, application_users.

The stages below define let current_activity (the rule's main pipeline source).

Stage 1: `source`

DataverseActivity

Stage 2: `where`

| where UserId !endswith "@onmicrosoft.com" and UserId != "Unknown"

Stage 3: `summarize`

| summarize by UserId

Stage 4: `where`

| where split(UserId, "@")[1] matches regex app_user_regex

Stage 5: `join`

| join kind= inner (
        DataverseActivity
        | where TimeGenerated >= ago(query_frequency)
        | summarize by UserId, EntityName, Message, InstanceUrl)
        on
        UserId

The stages below run on current_activity (the outer pipeline).

Stage 6: `join` (negated)

current_activity
| join kind = leftanti (historical_app_activity) on UserId, Message, EntityName, InstanceUrl

Stage 7: `summarize`

| summarize NewActivities = make_set(strcat(Message, " ", EntityName), 1000) by UserId, InstanceUrl

Stage 8: `extend`

| extend
    AadUserId = extract(guid_regex, 1, tostring(split(UserId, "@")[0])),
    CloudAppId = int(32780)

Stage 9: `project`

| project
    UserId,
    NewActivities,
    InstanceUrl,
    AadUserId,
    CloudAppId

Exclusions

Top-level NOT(...) conjuncts: predicates this rule actively suppresses.

Field	Kind	Excluded values
`UserId`	ends_with	`@onmicrosoft.com`
`UserId`	ne	`Unknown`

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
`UserId`	ends_with	`@onmicrosoft.com`
`UserId`	ne	`Unknown` transforms: `cased` corpus 4 (splunk 2, kusto 2)

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
`AadUserId`	`project`
`CloudAppId`	`project`
`InstanceUrl`	`project`
`NewActivities`	`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 Dataverse application user activity type

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: `historical_app_activity`

Stage 1: `source`

Stage 2: `where`

Stage 3: `summarize`

Stage 4: `where`

Stage 5: `join`

Stage 6: `join` (negated)

Stage 7: `summarize`

Stage 8: `extend`

Stage 9: `project`

Exclusions

Indicators

Output fields

Keyboard shortcuts

Search operators

Dataverse - New Dataverse application user activity type

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: historical_app_activity

Stage 1: source

Stage 2: where

Stage 3: summarize

Stage 4: where

Stage 5: join

Stage 6: join (negated)

Stage 7: summarize

Stage 8: extend

Stage 9: project

Exclusions

Indicators

Output fields

Let binding: `historical_app_activity`

Stage 1: `source`

Stage 2: `where`

Stage 3: `summarize`

Stage 4: `where`

Stage 5: `join`

Stage 6: `join` (negated)

Stage 7: `summarize`

Stage 8: `extend`

Stage 9: `project`