Threats Tagged 'cve-2026-34756'

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 3.4.4 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.

Red Hat AI Inference

Red Hat AI Inference

Red Hat® AI Inference Server Model Optimization Tools

CVE-2026-26740 is a high-severity vulnerability affecting Red Hat AI Inference Server 3.2.2 (CUDA). It involves a security issue categorized under multiple CWEs including out-of-bounds write (CWE-787) and others. The vulnerability impacts the integrity and availability of the affected product. No official patch or fix is currently provided by Red Hat. There are no known exploits in the wild at this time. The vendor advisory confirms the availability of the updated Red Hat AI Inference Server 3.2.2 (CUDA) but does not specify a fix for this CVE. The affected versions include Red Hat AI Inference Server 3.2 and related container images. No geographic targeting is indicated.

vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n parameter in the ChatCompletionRequest and CompletionRequest Pydantic models, an unauthenticated attacker can send a single HTTP request with an astronomically large n value. This completely blocks the Python asyncio event loop and causes immediate Out-Of-Memory crashes by allocating millions of request object copies in the heap before the request even reaches the scheduling queue. This vulnerability is fixed in 0.19.0.