Data Corruption via luksmeta on LUKS1 Disks
CVE-2025-11568 Published on October 15, 2025

Luksmeta: data corruption when handling luks1 partitions with luksmeta
A data corruption vulnerability has been identified in the luksmeta utility when used with the LUKS1 disk encryption format. An attacker with the necessary permissions can exploit this flaw by writing a large amount of metadata to an encrypted device. The utility fails to correctly validate the available space, causing the metadata to overwrite and corrupt the user's encrypted data. This action leads to a permanent loss of the stored information. Devices using the LUKS formats other than LUKS1 are not affected by this issue.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2025-11568 is exploitable with local system 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 no impact on confidentiality, a high impact on integrity, and no impact on availability.

Attack Vector:
LOCAL
Attack Complexity:
LOW
Privileges Required:
HIGH
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
NONE
Integrity Impact:
HIGH
Availability Impact:
NONE

Timeline

Reported to Red Hat.

Made public.

Weakness Type

Improper Validation of Specified Quantity in Input

The product receives input that is expected to specify a quantity (such as size or length), but it does not validate or incorrectly validates that the quantity has the required properties.


Products Associated with CVE-2025-11568

stack.watch emails you whenever new vulnerabilities are published in Red Hat Enterprise Linux (RHEL) or Red Hat Openshift. Just hit a watch button to start following.

 
 

Affected Versions

Latchset luksmeta: Red Hat Enterprise Linux 8: Red Hat Enterprise Linux 10: Red Hat Enterprise Linux 7: Red Hat Enterprise Linux 9: Red Hat OpenShift Container Platform 4:

Exploit Probability

EPSS
0.02%
Percentile
4.65%

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.