Threats Tagged 'cve-2026-5497'

Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models (LLMs) for enterprise applications. This update provides the latest Red Hat Enterprise Linux AI 3.4.1 container images. For a full list of changes in this release, see the Red Hat Enterprise Linux AI Release Notes linked in the References section.

Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models (LLMs) for enterprise applications. This update provides the latest Red Hat Enterprise Linux AI 3.4.1 container disk images for use with OpenShift Virtualization. For a full list of changes in this release, see the Red Hat Enterprise Linux AI Release Notes linked in the References section.

vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication.