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Vulnerability · Published Jun 19, 2026 · Assigned by redhat

CVE-2026-56210Libaom: libaom: heap-buffer-overflow read via missing bounds check in ctrl_set_layer_id

High 7.1

In plain English

A high-severity out-of-bounds read in Red Hat AI Inference Server from Red Hat. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.6% (higher than 48% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.1High
Exploit odds (30 days)0.6%top 52.2% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official description

A heap-buffer-overflow read vulnerability was found in libaom, the reference AV1 codec implementation. A missing bounds check in the SVC (Scalable Video Coding) layer ID control function allows setting a spatial_layer_id exceeding the configured number of layers. This causes an out-of-bounds heap read of approximately 40,728 bytes when computing a layer context array index. An attacker who can influence SVC encoder parameters in a network-facing service could exploit this for information disclosure (heap content leak) or denial of service (segmentation fault from hitting unmapped memory).

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
Debian:12aom3.6.0-1+deb12u3DEBIAN-CVE-2026-56210
Debian:13aom3.12.1-1+deb13u1DEBIAN-CVE-2026-56210
Debian:14aom3.14.1-1DEBIAN-CVE-2026-56210
Ubuntu:24.04:LTSaom3.8.2-2ubuntu0.2UBUNTU-CVE-2026-56210
Ubuntu:24.04:LTSaom3.8.2-2ubuntu0.2USN-8772-1
Ubuntu:25.10aomno fix listedUBUNTU-CVE-2026-56210
Ubuntu:26.04:LTSaom3.13.1-2ubuntu0.1USN-8772-1
Ubuntu:26.04:LTSaom3.13.1-2ubuntu0.1UBUNTU-CVE-2026-56210

Affected products (as reported)

VendorProductVersions
Red Hat Red Hat Enterprise Linux AI 3.3 for RHEL 9 see references
Red Hat Red Hat Enterprise Linux AI 3.4 for RHEL 9 see references
Red Hat Red Hat Enterprise Linux AI 3.5 for RHEL 9 see references
Red Hat Red Hat AI Inference Server 3.2 see references
Red Hat Red Hat AI Inference Server 3.2 see references
Red Hat Red Hat AI Inference Server 3.2 see references
Red Hat Red Hat AI Inference Server 3.3 see references
Red Hat Red Hat AI Inference Server 3.3 see references
Red Hat Red Hat AI Inference Server 3.3 see references
Red Hat Red Hat AI Inference Server 3.3 see references
Red Hat Red Hat Enterprise Linux AI 3.3 see references
Red Hat Red Hat Enterprise Linux AI 3.3 see references
Red Hat Red Hat Enterprise Linux AI 3.3 see references
Red Hat Red Hat Enterprise Linux AI 3.3 see references
Red Hat Red Hat Enterprise Linux AI 3.3 see references
Red Hat Red Hat Enterprise Linux AI 3.3 see references
Red Hat Red Hat Enterprise Linux AI 3.3 see references
Red Hat Red Hat Hardened Images see references
Red Hat Red Hat OpenShift AI 3.3 see references
Red Hat Red Hat OpenShift AI 3.3 see references
Red Hat Red Hat OpenShift AI 3.3 see references
Red Hat Red Hat OpenShift AI 3.3 see references
Red Hat Red Hat OpenShift AI 3.3 see references
Red Hat Red Hat OpenShift AI 3.3 see references
Red Hat Red Hat OpenShift AI 3.3 see references
Red Hat Red Hat OpenShift AI 3.3 see references
Red Hat Red Hat OpenShift AI 3.4 see references
Red Hat Red Hat OpenShift AI 3.4 see references
Red Hat Red Hat OpenShift AI 3.4 see references
Red Hat Red Hat OpenShift AI 3.4 see references

Weakness: CWE-125 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H

References