Detection rules › Splunk

Windows Azure PowerShell Module Installation Via PowerShell Script

Status
production
Severity
medium
Group by
Guid, Name, Opcode, Path, ScriptBlockId, ScriptBlockText, computer_name, process_id, signature, signature_id, user_id, vendor_product
Author
Raven Tait, Splunk
Source
github.com/splunk/security_content

This analytic detects the installation of Azure AD and cloud management modules via PowerShell Script Block Logging. Tools such as AADInternals, AzureAD, MSOnline, and Az.Resources provide deep access to Azure Active Directory objects, user accounts, service principals, and tenant configurations making them high-value targets for adversaries conducting reconnaissance, privilege escalation, or persistence operations post-compromise.

MITRE ATT&CK coverage

Event coverage

Rule body splunk

name: Windows Azure PowerShell Module Installation Via PowerShell Script
id: 344bed10-9a8b-4398-8bf3-ec9114125260
version: 2
creation_date: '2026-05-05'
modification_date: '2026-05-13'
author: Raven Tait, Splunk
status: production
type: Anomaly
description: |-
    This analytic detects the installation of Azure AD and cloud management modules via PowerShell Script Block Logging.
    Tools such as AADInternals, AzureAD, MSOnline, and Az.Resources provide deep access to Azure Active Directory objects, user accounts, service principals, and tenant configurations making them high-value targets for adversaries conducting reconnaissance, privilege escalation, or persistence operations post-compromise.
data_source:
    - Powershell Script Block Logging 4104
search: |-
    `powershell`
    EventID="4104"
    ScriptBlockText IN (
        "*Install-Module -Name AADInternals*",
        "*Install-Module -Name Az.Resources*",
        "*Install-Module -Name AzureAd*",
        "*Install-Module -Name MSOnline*",
        "*Install-Module AADInternals*",
        "*Install-Module Az.Resources*",
        "*Install-Module AzureAd*",
        "*Install-Module MSOnline*"
    )
    | fillnull
    | stats count min(_time) as firstTime
            max(_time) as lastTime
      by Computer EventID ScriptBlockText signature signature_id
         user_id vendor_product Guid Opcode
         Name Path ProcessID ScriptBlockId
    
    | rename Computer as dest
    | `security_content_ctime(firstTime)`
    | `security_content_ctime(lastTime)`
    | `windows_azure_powershell_module_installation_via_powershell_script_filter`
how_to_implement: The detection is based on data that originates from Endpoint Detection and Response (EDR) agents. These agents are designed to provide security-related telemetry from the endpoints where the agent is installed. To implement this search, you must ingest logs that contain the process GUID, process name, and parent process. Additionally, you must ingest complete command-line executions. These logs must be processed using the appropriate Splunk Technology Add-ons that are specific to the EDR product. The logs must also be mapped to the `Processes` node of the `Endpoint` data model. Use the Splunk Common Information Model (CIM) to normalize the field names and speed up the data modeling process.
known_false_positives: Legitimate administrators often install these modules for managing Azure environments. Filter alerts for authorized personnel and approved administrative activities.
drilldown_searches:
    - earliest_offset: $info_min_time$
      latest_offset: $info_max_time$
      name: View the detection results for - "$user$" and "$dest$"
      search: '%original_detection_search% | search  user = "$user$" dest = "$dest$"'
    - name: View risk events for the last 7 days for - "$user$" and "$dest$"
      search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$", "$dest$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
      earliest_offset: 7d
      latest_offset: "0"
intermediate_findings:
    entities:
        - field: dest
          type: system
          score: 50
          message: Potential Azure PowerShell module installation observed on $dest$ via script block $ScriptBlockId$.
analytic_story:
    - Azure Active Directory Account Takeover
    - Azure Active Directory Persistence
    - Azure Active Directory Privilege Escalation
asset_type: Endpoint
mitre_attack_id:
    - T1078
    - T1021.007
    - T1136.003
    - T1098
    - T1069.003
product:
    - Splunk Enterprise
    - Splunk Enterprise Security
    - Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
    - name: True Positive Test
      attack_data:
        - data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1078/snapattack/snapattack.log
          source: XmlWinEventLog:Microsoft-Windows-PowerShell/Operational
          sourcetype: XmlWinEventLog
      test_type: unit

Stages and Predicates

Stage 1: search

`powershell`
EventID="4104"
ScriptBlockText IN (
    "*Install-Module -Name AADInternals*",
    "*Install-Module -Name Az.Resources*",
    "*Install-Module -Name AzureAd*",
    "*Install-Module -Name MSOnline*",
    "*Install-Module AADInternals*",
    "*Install-Module Az.Resources*",
    "*Install-Module AzureAd*",
    "*Install-Module MSOnline*"
)

Stage 2: fillnull

| fillnull

Stage 3: stats

| stats count min(_time) as firstTime
        max(_time) as lastTime
  by Computer EventID ScriptBlockText signature signature_id
     user_id vendor_product Guid Opcode
     Name Path ProcessID ScriptBlockId

Stage 4: rename

| rename Computer as dest

Stage 5: search

| `security_content_ctime(firstTime)`

Stage 6: search

| `security_content_ctime(lastTime)`

Stage 7: search

| `windows_azure_powershell_module_installation_via_powershell_script_filter`

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.

FieldKindValues
EventIDeq
  • "4104" corpus 268 (splunk 268)
ScriptBlockTextin
  • "*Install-Module -Name AADInternals*"
  • "*Install-Module -Name Az.Resources*"
  • "*Install-Module -Name AzureAd*"
  • "*Install-Module -Name MSOnline*"
  • "*Install-Module AADInternals*"
  • "*Install-Module Az.Resources*"
  • "*Install-Module AzureAd*"
  • "*Install-Module MSOnline*"