CVE-2025-14969: Red Hat build of Quarkus 3.27.2.redhat · Missing Release of Resource after Effective Lifetime
Affects Red Hat build of Quarkus 3.27.2.redhatSource CVE Database V5
Not known to be exploited · CVSS 4.3 Medium.
Data as of 26 Oct 2026, 07:57 UTC
- EPSS
- 0.4% chance of exploitation in 30 days – higher than 34% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:LExploitation evidence
Disclosed: evidence found.
CVE published 26 Jan 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Red HatRed Hat build of Quarkus 3.27.2.redhat | Affected– | Fixed in– |
| Red HatRed Hat JBoss Enterprise Application Platform 8 | Affected– | Fixed in– |
| Red HatRed Hat JBoss Enterprise Application Platform Expansion Pack | Affected– | Fixed in– |
| Red HatRed Hat OpenShift Dev Spaces | Affected– | Fixed in– |
AI-suggested
1. Monitor database connection pool metrics closely to detect abnormal connection usage or leaks. 2. Implement connection timeout and maximum lifetime settings in the connection pool configuration to automatically reclaim leaked connections. 3. Restrict access to HTTP endpoints performing database operations to trusted clients or networks using network segmentation or firewall rules. 4. Employ rate limiting or throttling on HTTP endpoints to reduce the risk of connection exhaustion attacks. 5. Update to patched versions of Red Hat Quarkus build and Hibernate Reactive once available from Red Hat. 6. Conduct thorough testing of application behavior under premature connection closure scenarios to identify and address resource leaks. 7. Consider using circuit breakers or fallback mechanisms in the application to maintain availability during resource exhaustion. 8. Engage with Red Hat support for guidance and early access to fixes or workarounds.
Description
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.