Libaom: libaom: heap-buffer-overflow read via missing bounds check in ctrl_set_layer_id
CVSS score
7.1
EPSS probability
%0.6
Risk score
0.0
Published
4 mo ago
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Vulnerability description
DayBreach CVE AI Research
CVE-2026-56210 has vendor, distribution, patch and security-source records on file. We can compare them and prepare an explanation linked to the evidence.
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).
IMPACT: Affected Products and Software
Affected Products
The following products are affected by CVE-2026-56210 vulnerability. Where our threat engine knows the exact affected versions, they are listed below.
| ID | VENDOR | PRODUCT | ACTION |
|---|---|---|---|
| 1 | Red Hat | Red Hat Enterprise Linux AI 3.3 for RHEL 9 | View |
| 2 | Red Hat | Red Hat Enterprise Linux AI 3.4 for RHEL 9 | View |
| 3 | Red Hat | Red Hat Enterprise Linux AI 3.5 for RHEL 9 | View |
| 4 | Red Hat | Red Hat AI Inference Server 3.2 | View |
| 5 | Red Hat | Red Hat AI Inference Server 3.2 | View |
| 6 | Red Hat | Red Hat AI Inference Server 3.2 | View |
| 7 | Red Hat | Red Hat AI Inference Server 3.3 | View |
| 8 | Red Hat | Red Hat AI Inference Server 3.3 | View |
| 9 | Red Hat | Red Hat AI Inference Server 3.3 | View |
| 10 | Red Hat | Red Hat AI Inference Server 3.3 | View |
| 11 | Red Hat | Red Hat Enterprise Linux AI 3.3 | View |
| 12 | Red Hat | Red Hat Enterprise Linux AI 3.3 | View |
| 13 | Red Hat | Red Hat Enterprise Linux AI 3.3 | View |
| 14 | Red Hat | Red Hat Enterprise Linux AI 3.3 | View |
| 15 | Red Hat | Red Hat Enterprise Linux AI 3.3 | View |
| 16 | Red Hat | Red Hat Enterprise Linux AI 3.3 | View |
| 17 | Red Hat | Red Hat Hardened Images | View |
| 18 | Red Hat | Red Hat OpenShift AI 3.3 | View |
| 19 | Red Hat | Red Hat OpenShift AI 3.3 | View |
| 20 | Red Hat | Red Hat OpenShift AI 3.3 | View |
| 21 | Red Hat | Red Hat OpenShift AI 3.3 | View |
| 22 | Red Hat | Red Hat OpenShift AI 3.3 | View |
| 23 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 24 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 25 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 26 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 27 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 28 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 29 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 30 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 31 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 32 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 33 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 34 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 35 | Red Hat | Red Hat OpenShift AI 3.4 | View |
| 36 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 37 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 38 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 39 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 40 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 41 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 42 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 43 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 44 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 45 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 46 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 47 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 48 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 49 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 50 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 51 | Red Hat | Red Hat OpenShift AI 3.5 | View |
| 52 | Red Hat | Red Hat AI Inference Server | View |
| 53 | Red Hat | Red Hat Enterprise Linux 10 | View |
| 54 | Red Hat | Red Hat Enterprise Linux 9 | View |
| 55 | Red Hat | Red Hat OpenShift AI (RHOAI) | View |
RED HAT CSAF/VEX: Product Impact Check
SCORING: CVSS from Multiple Sources
CVSS Scores
The Common Vulnerability Scoring System is a standardised framework for assessing the severity of vulnerabilities in software and systems. We collect and display CVSS scores from several sources for each CVE.
| SCORE | VERSION | SEVERITY | VECTOR | SOURCE |
|---|---|---|---|---|
| 7.1 | CVSS V31 | HIGH | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H | NVD |
| 7.1 | CVSS V3_1 | HIGH | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H | CVE CNA |
| 7.1 | CVSS V3_1 | HIGH | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H | CVE ADP |
Patch and Remediation Guide
Solution & Remediation Advisory
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Public exploit and active exploitation status
Verified exploit intelligence
No verified public PoC, exploit repository or Metasploit module has been found for this CVE yet.
Weakness Classification and Attack Patterns (CWE & CAPEC)
CWE - Common Weakness Enumeration
While CVE identifies specific instances of vulnerabilities, CWE categorises the common flaws or weaknesses that can lead to vulnerabilities. CVE-2026-56210 is associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2026-56210 weaknesses.
Attack Vector and Accessibility
Official Sources and Advisories
Similar Vulnerabilities
Get this vulnerability through the API
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