Detection rules › Sigma
SAML Token Issuer Anomaly
Indicates the SAML token issuer for the associated SAML token is potentially compromised. The claims included in the token are unusual or match known attacker patterns
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Credential Access | T1606 Forge Web Credentials |
Rule body yaml
title: SAML Token Issuer Anomaly
id: e3393cba-31f0-4207-831e-aef90ab17a8c
status: test
description: Indicates the SAML token issuer for the associated SAML token is potentially compromised. The claims included in the token are unusual or match known attacker patterns
references:
- https://learn.microsoft.com/en-us/entra/id-protection/concept-identity-protection-risks#token-issuer-anomaly
- https://learn.microsoft.com/en-us/entra/architecture/security-operations-user-accounts#unusual-sign-ins
author: Mark Morowczynski '@markmorow', Gloria Lee, '@gleeiamglo'
date: 2023-09-03
tags:
- attack.t1606
- attack.credential-access
logsource:
product: azure
service: riskdetection
detection:
selection:
riskEventType: 'tokenIssuerAnomaly'
condition: selection
falsepositives:
- We recommend investigating the sessions flagged by this detection in the context of other sign-ins from the user.
level: high
Stages and Predicates
Stage 0: condition
selectionStage 1: selection
selection:
riskEventType: 'tokenIssuerAnomaly'
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 |
|---|---|---|
riskEventType | eq |
|