Threats Tagged 'cve-2026-55574'
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Threats Tagged 'cve-2026-55574'
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Red Hat AI Inference Join the discussion | GCVE Database | 09/23/2026, 17:13:26 UTC Added: 09/22/2026, 02:04:23 UTC |
Red Hat AI Inference Join the discussion | GCVE Database | 09/21/2026, 14:32:33 UTC Added: 09/22/2026, 02:04:23 UTC |
Red Hat AI Inference Join the discussion | GCVE Database | 09/21/2026, 14:30:50 UTC Added: 09/22/2026, 02:04:23 UTC |
Red Hat AI Inference Join the discussion | GCVE Database | 09/21/2026, 14:29:35 UTC Added: 09/22/2026, 02:04:23 UTC |
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. Join the discussion | GCVE Database | 08/26/2026, 16:25:47 UTC Added: 08/31/2026, 15:42:17 UTC |
0 vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, the structured_outputs.regex API parameter passes a user-supplied regular expression string directly to the grammar compiler backends with no compilation timeout; in the xgrammar backend the string reaches the regex compiler with no guard, and in the outlines backend the validation step blocks structural issues such as lookarounds and backreferences but performs no complexity analysis, so a pattern with nested quantifiers passes all checks and causes exponential state-space expansion, allowing a single request containing an adversarial regex to hang an inference worker indefinitely and deny service. This issue is fixed in version 0.24.0. Join the discussion | CVE Database V5 | 07/06/2026, 20:05:31 UTC Added: 07/06/2026, 20:37:16 UTC |
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. Join the discussion | GCVE Database | 04/16/2026, 10:06:55 UTC Added: 05/26/2026, 20:57:56 UTC |
0 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. Join the discussion | GCVE Database | 11/25/2025, 05:23:44 UTC Added: 05/26/2026, 20:58:34 UTC |
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