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).
Veri: CVE.org, NVD, CISA KEV, FIRST EPSS, Ubuntu. Bilgiler kaynaktaki haliyle, İngilizce yayımlanır.
| Üretici | Ürün | Sürümler | |
|---|---|---|---|
| ai inference server | 3.2 | — | |
| ai inference server | 3.3 | — | |
| enterprise linux ai | 3.3 | — | |
| enterprise linux ai | 3.4 | — | |
| enterprise linux ai | 3.5 | — | |
| openshift ai | 3.3 | — | |
| openshift ai | 3.4 | — | |
| openshift ai | 3.5 | — | |
| Red Hat | Red Hat AI Inference Server | all versions | |
| Red Hat | Red Hat AI Inference Server 3.2 | all versions | |
| Red Hat | Red Hat AI Inference Server 3.3 | all versions | |
| Red Hat | Red Hat Enterprise Linux 10 | all versions | |
| Red Hat | Red Hat Enterprise Linux 9 | all versions | |
| Red Hat | Red Hat Enterprise Linux AI 3.3 | all versions | |
| Red Hat | Red Hat Enterprise Linux AI 3.3 for RHEL 9 | all versions | |
| Red Hat | Red Hat Enterprise Linux AI 3.4 for RHEL 9 | all versions | |
| Red Hat | Red Hat Enterprise Linux AI 3.5 for RHEL 9 | all versions | |
| Red Hat | Red Hat Hardened Images | all versions | |
| Red Hat | Red Hat OpenShift AI 3.3 | all versions | |
| Red Hat | Red Hat OpenShift AI 3.4 | all versions | |
| Red Hat | Red Hat OpenShift AI 3.5 | all versions | |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
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