Detection: Azure AD Federated Identity Credential Added To Service Principal

Description

The following analytic detects additions of federated identity credentials to Entra ID service principals. It leverages Azure Active Directory AuditLogs for the "Update service principal" or "Update application" operations and filters on the FederatedIdentityCredentials modifiedProperty. Workload identity federation allows external OIDC workloads such as GitHub Actions or Kubernetes to authenticate as the SP without a secret. If an attacker adds a federated credential pointing to a controlled OIDC issuer, they gain a persistent secretless authentication path into the SP that survives credential rotations and is not visible in standard secrets monitoring.

 1`azure_monitor_aad`
 2category=AuditLogs
 3operationName IN ("Update application", "Update service principal")
 4properties.targetResources{}.modifiedProperties{}.displayName="FederatedIdentityCredentials"
 5
 6
 7| rename properties.* as *
 8
 9| rename initiatedBy.user.userPrincipalName as initiatedBy
10
11| rename initiatedBy.app.displayName as initiatedByApp
12
13
14| eval actor = coalesce(initiatedBy, initiatedByApp)
15
16
17| rename targetResources{}.displayName as targetSpName
18
19| rename userAgent as user_agent
20
21
22| eval index_number=mvfind('targetResources{}.modifiedProperties{}.displayName', "FederatedIdentityCredentials")
23
24| eval newCreds = mvindex('targetResources{}.modifiedProperties{}.newValue', index_number)
25
26| eval oldCreds = mvindex('targetResources{}.modifiedProperties{}.oldValue', index_number)
27
28
29| spath input=newCreds path={}.name output=newCredNames
30
31| spath input=oldCreds path={}.name output=oldCredNames
32
33
34| where mvcount(newCredNames) > coalesce(mvcount(oldCredNames), 0)
35
36
37| fillnull
38
39
40| stats count min(_time) as firstTime
41              max(_time) as lastTime
42  BY dest src vendor_account vendor_product user_agent
43     actor targetSpName newCreds oldCreds signature
44
45
46| rename actor as user
47
48
49| `security_content_ctime(firstTime)`
50
51| `security_content_ctime(lastTime)`
52
53| `azure_ad_federated_identity_credential_added_to_service_principal_filter`

Data Source

Name Platform Sourcetype Source
Azure Active Directory Azure icon Azure 'azure:monitor:aad' 'Azure AD'

Macros Used

Name Value
azure_monitor_aad sourcetype=azure:monitor:aad
azure_ad_federated_identity_credential_added_to_service_principal_filter search *
azure_ad_federated_identity_credential_added_to_service_principal_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK
+ Kill Chain Phases
+ NIST
+ CIS
- Threat Actors
ID Technique Tactic
T1078.004 Cloud Accounts Initial Access
T1098.001 Additional Cloud Credentials Persistence
T1586.003 Cloud Accounts Privilege Escalation
Exploitation
Delivery
Weaponization
Installation
DE.CM
CIS 10

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting Value
Disabled true
Cron Schedule 0 * * * *
Earliest Time -70m@m
Latest Time -10m@m
Schedule Window auto
Creates Finding (Notable) Yes
Rule Title %name%
Rule Description %description%
Notable Event Fields user, dest
Creates Intermediate Finding (Risk Event) Yes
TTP detections generate a Finding (Notable) and may generate Intermediate Findings (Risk Events) for associated entities.

Implementation

You must install the latest version of Splunk Add-on for Microsoft Cloud Services from Splunkbase (https://splunkbase.splunk.com/app/3110/#/details). You must be ingesting Azure Active Directory events into your Splunk environment through an EventHub. This analytic was written to be used with the "azure:monitor:aad sourcetype" leveraging the AuditLogs log category.

Known False Positives

Platform engineers legitimately configure federated credentials when setting up GitHub Actions OIDC federation, Kubernetes Workload Identity, or other secretless CI/CD patterns. Validate the actor, the target SP, and whether the issuer in newCreds corresponds to a known trusted OIDC provider. Unknown issuers or overly permissive subject claims in the newCreds JSON warrant immediate investigation.

Associated Analytic Story

Finding

Title Entity Field Entity Type Risk Score
User [$user$] added Federated Identity Credential to service principal [$targetSpName$] from [$src$] user user 50

Intermediate Findings

Message Entity Field Entity Type Risk Score
User [$user$] added Federated Identity Credential to service principal [$targetSpName$] from [$src$] targetSpName user 50

References

Detection Testing

Test Type Status Dataset Source Sourcetype
Validation ✅ Passing N/A N/A N/A
Unit ✅ Passing Dataset Azure AD azure:monitor:aad
Integration ✅ Passing Dataset Azure AD azure:monitor:aad

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range


Source: GitHub |

Version: 1