Threats Tagged 'cve-2026-44222'

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.

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.

vLLM is an inference and serving engine for large language models (LLMs). From 0.6.1 to before 0.20.0, there is a a Token Injection vulnerability in vLLM’s multimodal processing. Unauthenticated, text-only prompts that spell special tokens are interpreted as control. Image and video placeholder sequences supplied without matching data cause vLLM to index into empty grids during input-position computation, raising an unhandled IndexError and terminating the worker or degrading availability. Multimodal paths that rely on image_grid_thw/video_grid_thw are affected. This vulnerability is fixed in 0.20.0.

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.