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Vulnerability · Published Jun 19, 2026 · Assigned by redhat

CVE-2026-56211Libaom: libaom: remote code execution via svc layer context handling with attacker-controlled frames

High 7.1

In plain English

A high-severity out-of-bounds write 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 0.9% (higher than 59% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.1High
Exploit odds (30 days)0.9%top 40.8% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official description

A remote code execution vulnerability was found in libaom, the reference AV1 codec implementation. Insufficient bounds validation in the AV1 encoder's SVC (Scalable Video Coding) layer ID control allows an attacker to supply crafted video frame pixels that overlap with internal encoder layer context structures. In fork-based video processing services, an attacker can use this to hijack the cyclic refresh map pointer, brute-force the process base address via a crash oracle, and redirect control flow to achieve arbitrary command execution. Exploitation requires the target service to use libaom with SVC encoding enabled and accept attacker-supplied video frames.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
Debian:12aom3.6.0-1+deb12u3DEBIAN-CVE-2026-56211
Debian:13aom3.12.1-1+deb13u1DEBIAN-CVE-2026-56211
Debian:14aom3.14.1-1DEBIAN-CVE-2026-56211
Ubuntu:24.04:LTSaom3.8.2-2ubuntu0.2UBUNTU-CVE-2026-56211
Ubuntu:24.04:LTSaom3.8.2-2ubuntu0.2USN-8772-1
Ubuntu:25.10aomno fix listedUBUNTU-CVE-2026-56211
Ubuntu:26.04:LTSaom3.13.1-2ubuntu0.1USN-8772-1
Ubuntu:26.04:LTSaom3.13.1-2ubuntu0.1UBUNTU-CVE-2026-56211

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-787 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:L/I:H/A:H

References