Keycloak LDAP Federation Deserialization via Malicious LDAP (CVE-2025-13467)
CVE-2025-13467 Published on November 25, 2025

Org.keycloak.storage.ldap: keycloak: deserialization of untrusted data in ldap user federation
A flaw was found in the Keycloak LDAP User Federation provider. This vulnerability allows an authenticated realm administrator to trigger deserialization of untrusted Java objects via a malicious LDAP server configuration.

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Vulnerability Analysis

CVE-2025-13467 can be exploited with network access, and requires user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a small impact on confidentiality and integrity, and no impact on availability.

Exploitation:
NONE
Automatable:
NO
Technical Impact:
PARTIAL
Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
HIGH
User Interaction:
NONE
Scope:
CHANGED
Confidentiality Impact:
LOW
Integrity Impact:
LOW
Availability Impact:
NONE

Timeline

Reported to Red Hat.

Made public. 5 days later.

Weakness Type

What is a Marshaling, Unmarshaling Vulnerability?

The application deserializes untrusted data without sufficiently verifying that the resulting data will be valid.

CVE-2025-13467 has been classified to as a Marshaling, Unmarshaling vulnerability or weakness.


Products Associated with CVE-2025-13467

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Red Hat Build Keycloak
Red Hat Keycloak

Affected Versions

Keycloak: Red Hat build of Keycloak 26.2: Red Hat build of Keycloak 26.2: Red Hat build of Keycloak 26.2: Red Hat build of Keycloak 26.2.11: Red Hat build of Keycloak 26.4: Red Hat build of Keycloak 26.4: Red Hat build of Keycloak 26.4: Red Hat build of Keycloak 26.4.6:

Vulnerable Packages

The following package name and versions may be associated with CVE-2025-13467

Package Manager Vulnerable Package Versions Fixed In
maven org.keycloak:keycloak-ldap-federation < 26.4.6 26.4.6

Exploit Probability

EPSS
0.47%
Percentile
41.25%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.