Hibernate Reactive DoS via HTTP Close Connection Leak
CVE-2025-14969 Published on January 26, 2026

Hibernate-reactive-core: hibernate reactive: denial of service due to connection leak on http client disconnect
A flaw was found in Hibernate Reactive. When an HTTP endpoint is exposed to perform database operations, a remote client can prematurely close the HTTP connection. This action may lead to leaking connections from the database connection pool, potentially causing a Denial of Service (DoS) by exhausting available database connections.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2025-14969 can be exploited with network access, and requires small amount of 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 and integrity, and a small impact on availability.

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

Timeline

Reported to Red Hat.

Made public.

Weakness Type

Missing Release of Resource after Effective Lifetime

The software does not release a resource after its effective lifetime has ended, i.e., after the resource is no longer needed. When a resource is not released after use, it can allow attackers to cause a denial of service by causing the allocation of resources without triggering their release. Frequently-affected resources include memory, CPU, disk space, power or battery, etc.


Products Associated with CVE-2025-14969

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Affected Versions

Red Hat build of Quarkus 3.27.2: Red Hat JBoss Enterprise Application Platform 8: Red Hat JBoss Enterprise Application Platform 8: Red Hat JBoss Enterprise Application Platform Expansion Pack: Red Hat JBoss Enterprise Application Platform Expansion Pack: Red Hat OpenShift Dev Spaces: Red Hat OpenShift Dev Spaces:

Exploit Probability

EPSS
0.01%
Percentile
2.28%

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.