A flaw was found in the virtio-crypto device of QEMU. A malicious guest operating system can exploit a missing length limit in the AKCIPHER path, leading to uncontrolled memory allocation. This can result in a denial of service (DoS) on the host system by causing the QEMU process to terminate unexpectedly.
Conclusion & alert: CVE-2025-14876 is rated Low Risk (23.3/100): CVSS Medium severity, with low exploitation likelihood (EPSS 0.14%). Mandatory action: Monitor for updates and reassess as exploit intelligence or EPSS changes.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-06-15 | 0.01% | 0.14% | +0.12% |
| 2 | 2026-02-19 | — | 0.01% | — |
Full EPSS history (2 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 5.5 | 3.1 | MEDIUM |
|
1.8 | 3.6 | [email protected] |
| vendor | priority | summary | link |
|---|---|---|---|
debian
|
unimportant | CVE-2025-14876 unimportant priority: Debian including 1 source packages (qemu), 5 status rows across 5 suites (bookworm, bullseye, forky, sid, trixie): resolved 4, open 1. | https://security-tracker.debian.org/tracker/CVE-2025-14876 |
redhat
|
medium | — | https://access.redhat.com/security/cve/CVE-2025-14876 |
suse
|
medium | — | https://www.suse.com/security/cve/CVE-2025-14876/ |
ubuntu
|
medium | CVE-2025-14876 medium priority: Ubuntu including 1 source packages (qemu), 9 status rows across 9 suites (bionic, focal, jammy, noble, plucky, questing, trusty, upstream, xenial): not-affected 5, released 2, ignored 1, needs-triage 1. | https://ubuntu.com/security/CVE-2025-14876 |
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||