Dataverse - Malware found in SharePoint document management site

Status: available
Severity: medium
Time window: 14d
Group by: MalwareUserId, SharePointUrl, Site_Url, SourceFileName
Source: github.com/Azure/Azure-Sentinel

This query identifies malware uploaded via Dynamics 365 document management or directly in SharePoint impacting Dataverse associated SharePoint sites.

MITRE ATT&CK coverage

Tactic	Techniques
Execution	`T1204` User Execution

Rule body kusto

id: 2e3878bb-d519-43aa-9992-ea069df099e4
kind: Scheduled
name: Dataverse - Malware found in SharePoint document management site
description: This query identifies malware uploaded via Dynamics 365 document management
  or directly in SharePoint impacting Dataverse associated SharePoint sites.
severity: Medium
status: Available
requiredDataConnectors:
  - connectorId: Dataverse
    dataTypes:
      - DataverseActivity
  - connectorId: Office365
    dataTypes:
      - OfficeActivity (SharePoint)
queryFrequency: 1h
queryPeriod: 14d
triggerOperator: gt
triggerThreshold: 0
tactics:
  - Execution
relevantTechniques:
  - T1204
query: |
  let query_frequency = 15m;
    let malware_events = OfficeActivity
        | where OfficeWorkload == "SharePoint" and Operation == "FileMalwareDetected"
        | summarize by MalwareUserId = UserId, SourceFileName, Site_Url
        | join kind=inner (DataverseSharePointSites) on $left.Site_Url == $right.SharePointUrl;
    let file_upload_events = OfficeActivity
        | where OfficeWorkload == "SharePoint" and Operation == "FileUploaded"
        | project TimeGenerated, UserId, Site_Url, SourceFileName, ApplicationId, ClientIP;
    let d365_upload_events = DataverseActivity
        | where TimeGenerated >= ago(query_frequency)
        | where Message == "UploadDocument"
        | summarize by UserId, D365ClientIp = ClientIp;
    malware_events
    | join kind=inner (file_upload_events) on SourceFileName, Site_Url
    | lookup (d365_upload_events) on UserId
    | extend ClientIp = iif(ApplicationId == "00000007-0000-0000-c000-000000000000", D365ClientIp, ClientIP)
    | extend
        CloudAppId = int(32780),
        SharePointId = int(20892),
        AccountName = tostring(split(UserId, '@')[0]),
        UPNSuffix = tostring(split(UserId, '@')[1])
    | project
        TimeGenerated,
        UserId,
        ClientIp,
        InstanceUrl,
        SharePointUrl,
        SourceFileName,
        CloudAppId,
        SharePointId,
        AccountName,
        UPNSuffix
eventGroupingSettings:
  aggregationKind: SingleAlert
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: Name
        columnName: AccountName
      - identifier: UPNSuffix
        columnName: UPNSuffix
  - entityType: IP
    fieldMappings:
      - identifier: Address
        columnName: ClientIp
  - entityType: File
    fieldMappings:
      - identifier: Name
        columnName: SourceFileName
  - entityType: CloudApplication
    fieldMappings:
      - identifier: AppId
        columnName: CloudAppId
      - identifier: InstanceName
        columnName: InstanceUrl
  - entityType: CloudApplication
    fieldMappings:
      - identifier: AppId
        columnName: SharePointId
      - identifier: InstanceName
        columnName: SharePointUrl
alertDetailsOverride:
  alertDisplayNameFormat: 'Dataverse - Malware was found in SharePoint document management
    site for {{InstanceUrl}} '
  alertDescriptionFormat: A malicious file {{SourceFileName}} was found in SharePoint
    site {{SharePointUrl}}. The file was uploaded by {{UserId}}
version: 3.2.0

Stages and Predicates

Parameters

let query_frequency = 15m;

Let binding: `file_upload_events`

let file_upload_events = OfficeActivity
      | where OfficeWorkload == "SharePoint" and Operation == "FileUploaded"
      | project TimeGenerated, UserId, Site_Url, SourceFileName, ApplicationId, ClientIP;

Let binding: `d365_upload_events`

let d365_upload_events = DataverseActivity
      | where TimeGenerated >= ago(query_frequency)
      | where Message == "UploadDocument"
      | summarize by UserId, D365ClientIp = ClientIp;

Derived from query_frequency.

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

Stage 1: `source`

OfficeActivity

Stage 2: `where`

| where OfficeWorkload == "SharePoint" and Operation == "FileMalwareDetected"

Stage 3: `summarize`

| summarize by MalwareUserId = UserId, SourceFileName, Site_Url

Stage 4: `join`

| join kind=inner (DataverseSharePointSites) on $left.Site_Url == $right.SharePointUrl

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

Stage 5: `join`

malware_events
| join kind=inner (file_upload_events) on SourceFileName, Site_Url

Stage 6: `kusto:lookup`

| lookup (d365_upload_events) on UserId

Stage 7: `extend`

| extend ClientIp = iif(ApplicationId == "00000007-0000-0000-c000-000000000000", D365ClientIp, ClientIP)

Stage 8: `extend`

| extend
      CloudAppId = int(32780),
      SharePointId = int(20892),
      AccountName = tostring(split(UserId, '@')[0]),
      UPNSuffix = tostring(split(UserId, '@')[1])

Stage 9: `project`

| project
      TimeGenerated,
      UserId,
      ClientIp,
      InstanceUrl,
      SharePointUrl,
      SourceFileName,
      CloudAppId,
      SharePointId,
      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
`OfficeWorkload`	eq	`SharePoint` transforms: `cased` corpus 3 (kusto 3)
`Operation`	eq	`FileMalwareDetected` transforms: `cased` corpus 2 (splunk 1, kusto 1) `FileUploaded` transforms: `cased` corpus 4 (kusto 4)

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`
`SharePointId`	`project`
`SharePointUrl`	`project`
`SourceFileName`	`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 - Malware found in SharePoint document management site

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: `file_upload_events`

Let binding: `d365_upload_events`

Stage 1: `source`

Stage 2: `where`

Stage 3: `summarize`

Stage 4: `join`

Stage 5: `join`

Stage 6: `kusto:lookup`

Stage 7: `extend`

Stage 8: `extend`

Stage 9: `project`

Indicators

Output fields

Keyboard shortcuts

Search operators

Dataverse - Malware found in SharePoint document management site

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: file_upload_events

Let binding: d365_upload_events

Stage 1: source

Stage 2: where

Stage 3: summarize

Stage 4: join

Stage 5: join

Stage 6: kusto:lookup

Stage 7: extend

Stage 8: extend

Stage 9: project

Indicators

Output fields

Let binding: `file_upload_events`

Let binding: `d365_upload_events`

Stage 1: `source`

Stage 2: `where`

Stage 3: `summarize`

Stage 4: `join`

Stage 5: `join`

Stage 6: `kusto:lookup`

Stage 7: `extend`

Stage 8: `extend`

Stage 9: `project`