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VulnerabilityPublished Updated

CVE-2026-56210: Red Hat Enterprise Linux AI 3.3 for RHEL 9 · Out-of-bounds Read

Affects Red Hat Enterprise Linux AI 3.3 for RHEL 9Source CVE Database V5

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Not known to be exploited · CVSS 7.1 High.

Data as of 1 Nov 2026, 22:58 UTC

CVSS 3.1 base score
7.1High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.5% chance of exploitation in 30 days – higher than 47% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 19 Jun 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq 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 1 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
Red Hat Enterprise Linux AI 3.3 for RHEL 9aomAffected–Fixed in–
Red Hat Enterprise Linux AI 3.4 for RHEL 9aomAffected–Fixed in–
Red Hat Enterprise Linux AI 3.5 for RHEL 9aomAffected–Fixed in–
Red Hat AI Inference Server 3.2rhaiis/vllm-cuda-rhel9Affected–Fixed in–
Red Hat AI Inference Server 3.2rhaiis/model-opt-cuda-rhel9Affected–Fixed in–
Red Hat AI Inference Server 3.2rhaiis/vllm-rocm-rhel9Affected–Fixed in–

AI-suggested

Red Hat has released security updates that fix this vulnerability. Users of Red Hat Enterprise Linux AI 3.3 and 3.5 for RHEL 9 should apply the updated RPM packages aom and libaom version 3.14.0-0.1.hum1 or 3.14.0-1.el9ai as provided in advisories RHSA-2026:30814 and RHSA-2026:42875. Before applying these updates, ensure all previously released errata relevant to your system have been applied. There is no indication that the vulnerability is mitigated without applying these updates. No known exploits are reported in the wild at this time.

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).

References

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