Vulnerabilidades do Red Hat Red Hat OpenShift AI 3.3
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CVEs publicadas que afetam Red Hat Red Hat OpenShift AI 3.3: 28 registro(s), com versões afetadas e correções.
CVE-2026-56208
Alta · 7.6
CWE-122 19/06/2026
Libaom: libaom: heap buffer overflow in av1 encoder first-pass stats buffer via lap mode
A heap buffer overflow vulnerability was found in libaom, the reference AV1 codec implementation. A flaw in the AV1 encoder's Look-Ahead Processing (LAP) mode causes the first-pass stats ring buffer wrap-around guard to be bypassed when g_lag_in_frames is set to 1 or higher. This results in a 232-byte out-of-bounds write on every encoded frame after the second, corrupting adjacent heap objects. An attacker who can influence encoder configuration in a transcoding service or WebRTC session could exploit this to cause a denial of service (process crash) or potentially achieve code execution.
CVE-2026-5483
Crítica · 9.9
CWE-201 10/04/2026
Odh-dashboard: odh dashboard kubernetes service account exposure
A flaw was found in odh-dashboard in Red Hat Openshift AI. This vulnerability in the `odh-dashboard` component of Red Hat OpenShift AI (RHOAI) allows for the disclosure of Kubernetes Service Account tokens through a NodeJS endpoint. This could enable an attacker to gain unauthorized access to Kubernetes resources.
CVE-2025-6170
Baixa · 2.5
CWE-121 16/06/2025
Libxml2: stack buffer overflow in xmllint interactive shell command handling
A flaw was found in the interactive shell of the xmllint command-line tool, used for parsing XML files. When a user inputs an overly long command, the program does not check the input size properly, which can cause it to crash. This issue might allow attackers to run harmful code in rare configurations without modern protections.