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oesa-2026-2866
Vulnerability from osv_openeuler
The Alliance for Open Media’s focus is to deliver a next-generation video format that is:
Security Fix(es):
An arbitrary address write 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 an attacker to inject an arbitrary pointer into the cyclic refresh map field via crafted image pixel values. The encoder then writes approximately 1,200 bytes at the attacker-controlled address. This is fully deterministic and does not require a separate information leak. An attacker who can supply frames to a network-facing libaom encoder with SVC enabled could exploit this for denial of service or potential code execution.(CVE-2026-56209)
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).(CVE-2026-56210)
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.(CVE-2026-56211)
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"aarch64": [
"aom-3.8.0-6.oe2403sp1.aarch64.rpm",
"aom-debuginfo-3.8.0-6.oe2403sp1.aarch64.rpm",
"aom-debugsource-3.8.0-6.oe2403sp1.aarch64.rpm",
"libaom-3.8.0-6.oe2403sp1.aarch64.rpm",
"libaom-devel-3.8.0-6.oe2403sp1.aarch64.rpm"
],
"src": [
"aom-3.8.0-6.oe2403sp1.src.rpm"
],
"x86_64": [
"aom-3.8.0-6.oe2403sp1.x86_64.rpm",
"aom-debuginfo-3.8.0-6.oe2403sp1.x86_64.rpm",
"aom-debugsource-3.8.0-6.oe2403sp1.x86_64.rpm",
"libaom-3.8.0-6.oe2403sp1.x86_64.rpm",
"libaom-devel-3.8.0-6.oe2403sp1.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:24.03-LTS-SP1",
"name": "aom",
"purl": "pkg:rpm/openEuler/aom\u0026distro=openEuler-24.03-LTS-SP1"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.8.0-6.oe2403sp1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"severity": "High"
},
"details": "The Alliance for Open Media\u2019s focus is to deliver a next-generation video format that is:\r\n\r\nSecurity Fix(es):\n\nAn arbitrary address write 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 an attacker to inject an arbitrary pointer into the cyclic refresh map field via crafted image pixel values. The encoder then writes approximately 1,200 bytes at the attacker-controlled address. This is fully deterministic and does not require a separate information leak. An attacker who can supply frames to a network-facing libaom encoder with SVC enabled could exploit this for denial of service or potential code execution.(CVE-2026-56209)\n\nA 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).(CVE-2026-56210)\n\nA remote code execution vulnerability was found in libaom, the reference AV1 codec implementation. Insufficient bounds validation in the AV1 encoder\u0026apos;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.(CVE-2026-56211)",
"id": "OESA-2026-2866",
"modified": "2026-08-06T11:11:46Z",
"published": "2026-07-06T11:11:46Z",
"references": [
{
"type": "ADVISORY",
"url": "https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2026-2866"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-56209"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-56210"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-56211"
}
],
"schema_version": "1.7.2",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:H",
"type": "CVSS_V3"
}
],
"summary": "aom security update",
"upstream": [
"CVE-2026-56209",
"CVE-2026-56210",
"CVE-2026-56211"
]
}
CVE-2026-56209 (GCVE-0-2026-56209)
Vulnerability from cvelistv5 – Published: 2026-06-19 16:28 – Updated: 2026-09-01 12:04- CWE-787 - Out-of-bounds Write
| Vendor | Product | Version | |
|---|---|---|---|
| Red Hat | Red Hat Enterprise Linux AI 3.3 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.4 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.5 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.5::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787860580 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787772157 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787884873 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat Hardened Images |
Unaffected:
3.14.0-0.1.hum1 , < *
(rpm)
cpe:/a:redhat:hummingbird:1 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1786611800 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3
|
|
| Red Hat | Red Hat Enterprise Linux 10 |
cpe:/o:redhat:enterprise_linux:10
|
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9
|
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
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{
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}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-25T03:55:32.013407Z",
"version": "2.0.3"
},
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CVE-2026-56210 (GCVE-0-2026-56210)
Vulnerability from cvelistv5 – Published: 2026-06-19 16:28 – Updated: 2026-09-01 12:04- CWE-125 - Out-of-bounds Read
| Vendor | Product | Version | |
|---|---|---|---|
| Red Hat | Red Hat Enterprise Linux AI 3.3 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.4 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.5 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.5::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787860580 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787772157 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787884873 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat Hardened Images |
Unaffected:
3.14.0-0.1.hum1 , < *
(rpm)
cpe:/a:redhat:hummingbird:1 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1786611800 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3
|
|
| Red Hat | Red Hat Enterprise Linux 10 |
cpe:/o:redhat:enterprise_linux:10
|
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9
|
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
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CVE-2026-56211 (GCVE-0-2026-56211)
Vulnerability from cvelistv5 – Published: 2026-06-19 16:28 – Updated: 2026-09-01 12:05- CWE-787 - Out-of-bounds Write
| Vendor | Product | Version | |
|---|---|---|---|
| Red Hat | Red Hat Enterprise Linux AI 3.3 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.4 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.5 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.5::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787860580 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787772157 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787884873 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat Hardened Images |
Unaffected:
3.14.0-0.1.hum1 , < *
(rpm)
cpe:/a:redhat:hummingbird:1 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1786611800 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3
|
|
| Red Hat | Red Hat Enterprise Linux 10 |
cpe:/o:redhat:enterprise_linux:10
|
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9
|
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.