T1098.001 Splunk · SPL

Detect Additional Cloud Credentials in Splunk

Adversaries may add adversary-controlled credentials to a cloud account to maintain persistent access to victim accounts and instances within the environment. This includes adding credentials to Azure/Entra ID Service Principals and Applications (x509 keys and passwords), generating or importing SSH keys in AWS/GCP, creating AWS IAM access keys or login profiles, and adding app passwords to Entra ID user accounts to bypass MFA. These techniques allow persistent access even if the original compromised credentials are rotated.

MITRE ATT&CK

Tactic
Persistence Privilege Escalation
Technique
T1098 Account Manipulation
Sub-technique
T1098.001 Additional Cloud Credentials
Canonical reference
https://attack.mitre.org/techniques/T1098/001/

SPL Detection Query

Splunk (SPL)
spl
index=azure_audit OR index=o365 sourcetype="azure:aad:audit"
(
  OperationName="Add service principal credentials"
  OR OperationName="Update application – Certificates and secrets management"
  OR OperationName="Add application"
  OR OperationName="Update service principal"
  OR OperationName="Add owner to application"
  OR OperationName="Add app role assignment to service principal"
  OR OperationName="Create application password for user"
  OR OperationName="Update application password for user"
)
| spath input=InitiatedBy path=user.userPrincipalName output=InitiatingUPN
| spath input=InitiatedBy path=user.ipAddress output=InitiatingIPAddress
| spath input=InitiatedBy path=app.displayName output=InitiatingApp
| spath input=TargetResources{}.displayName output=TargetResource
| spath input=TargetResources{}.type output=TargetType
| eval Result=coalesce(Result, "unknown")
| eval CredentialType=case(
    match(OperationName, "(?i)certificate|secret"), "Certificate_or_Secret",
    match(OperationName, "(?i)password"), "AppPassword",
    match(OperationName, "(?i)credentials"), "ServicePrincipalCredential",
    true(), "Other"
  )
| eval IsHighRisk=case(
    OperationName="Create application password for user", "True_MFA_Bypass_Risk",
    OperationName="Add service principal credentials", "True_SP_Credential_Add",
    OperationName="Add owner to application", "True_Ownership_Change",
    true(), "False"
  )
| eval IsSelfModification=if(InitiatingUPN=TargetResource, "Yes", "No")
| eval IsServiceAccount=if(match(InitiatingUPN, "(?i)(svc-|service|automation|pipeline|deploy|robot|bot)"), "Yes", "No")
| where Result="success" OR Result="unknown"
| table _time, OperationName, Result, InitiatingUPN, InitiatingApp, InitiatingIPAddress, TargetResource, TargetType, CredentialType, IsHighRisk, IsSelfModification, IsServiceAccount, CorrelationId
| sort - _time
high severity high confidence

Detects cloud credential additions in Azure/Entra ID using azure:aad:audit sourcetype. Parses Entra ID Audit Logs to identify service principal credential additions, app password creation (MFA bypass risk), application ownership changes, and role assignments. Calculates risk flags including high-risk operation type, self-modification patterns, and service account initiators. Results are sorted by most recent.

Data Sources

Cloud Service: Cloud Service ModificationUser Account: User Account ModificationAzure AD Audit Logs

Required Sourcetypes

azure:aad:audit

False Positives & Tuning

  • Legitimate DevOps automation rotating service principal credentials on a schedule (CI/CD pipelines, Terraform, Ansible)
  • Application registrations during normal software development lifecycle where developers add test credentials
  • Break-glass/emergency account setup by authorized IT administrators during incident response
  • Managed Identity and service connection setup during Azure DevOps pipeline configuration by authorized teams
  • App password creation by end users for legacy applications (e.g., Office clients without MFA support) when permitted by policy
Download portable Sigma rule (.yml)

Other platforms for T1098.001


Testing Methodology

Validate this detection against 4 adversary techniques from Atomic Red Team. Each test below lists the behaviour to exercise and the telemetry you should expect to see. Executable commands and cleanup steps are available with Pro.

  1. Test 1Add Client Secret to Entra ID Application via Azure CLI

    Expected signal: Entra ID Audit Logs: OperationName='Update application – Certificates and secrets management' or 'Add service principal credentials' with Result=success. InitiatedBy will show the authenticated CLI user. TargetResources will contain the application object ID and display name. ModifiedProperties will include the new credential's KeyId, StartDate, EndDate, and CustomKeyIdentifier.

  2. Test 2Create AWS IAM Access Key for Existing User via AWS CLI

    Expected signal: AWS CloudTrail: EventName='CreateAccessKey' with requestParameters.userName=<TARGET_USERNAME>, responseElements.accessKey.accessKeyId=<NEW_KEY_ID>, responseElements.accessKey.status='Active'. UserIdentity section shows the requesting account. EventSource=iam.amazonaws.com.

  3. Test 3Add Certificate Credential to Entra ID Service Principal via PowerShell

    Expected signal: Entra ID Audit Logs: OperationName='Add service principal credentials' with Result=success. ModifiedProperties will contain KeyCredentials with Type=AsymmetricX509Cert, Usage=Verify, and the certificate's StartDate/EndDate. PowerShell ScriptBlock Logging (Event ID 4104) will capture the New-AzADSpCredential command. Sysmon Event ID 1 will show powershell.exe execution.

  4. Test 4Create Entra ID App Password for MFA Bypass via Microsoft Graph API

    Expected signal: Entra ID Audit Logs: OperationName='Create application password for user' with Result=success. InitiatedBy will show the authenticated Graph API caller. TargetResources will contain the target user's UPN and object ID. Microsoft Defender for Cloud Apps may also generate an alert for unusual MFA modification activity.

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