Threats Tagged 'cve-2026-54234'

Red Hat AI Inference

Red Hat AI Inference

Red Hat AI Inference

Red Hat AI Inference

CVE-2026-44222 is a denial of service vulnerability in vLLM, an inference engine for large language models, as integrated into Red Hat AI Inference Server 3.3.6 (Spyre). Unauthenticated attackers can cause worker termination by submitting malformed multimodal inputs or text prompts with special tokens, disrupting AI inference workloads. No fix is currently available that meets Red Hat's criteria for deployment and stability.

The buildah package provides a tool for facilitating building OCI container images. Among other things, buildah enables you to: Create a working container, either from scratch or using an image as a starting point; Create an image, either from a working container or using the instructions in a Dockerfile; Build both Docker and OCI images. Security Fix(es): * runc: container escape and denial of service due to arbitrary write gadgets and procfs write redirects (CVE-2025-52881) * golang: archive/tar: Unbounded allocation when parsing GNU sparse map (CVE-2025-58183) For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, a frontend-legal multi-request speculative decoding workload can cause the rejection sampler to produce a recovered token equal to the model vocabulary size boundary value, which is then converted to negative one when the engine selects the next live token for a request and is written back into the drafter's input ids; that out-of-vocabulary value is later consumed by the model's embedding and attention path and crashes the engine worker with a GPU device-side assertion. The same triggering request sequence is reachable through the public gRPC Generate and Abort endpoints, so a remote client that can send generation requests can crash the shared engine worker, aborting concurrent requests and causing a service-wide denial of service for other clients of the deployment until the worker is restarted. This issue is fixed in version 0.24.0.

The multicluster engine for Kubernetes provides the foundational components that are necessary for the centralized management of multiple Kubernetes-based clusters across data centers, public clouds, and private clouds. You can use the engine to create new Red Hat OpenShift Container Platform clusters or to bring existing Kubernetes-based clusters under management by importing them. After the clusters are managed, you can use the APIs that are provided by the engine to distribute configuration based on placement policy.