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Advisory severityMedium4.3Vendor: LowRed Hat Linux

Medium [CVE-2026-53923] Information disclosure via integer truncation

This medium-severity Red Hat Linux advisory covers CVE-2026-53923 affecting Red Hat AI Inference Server 3.3, Red Hat Enterprise Linux AI 3.3.

Aggregated and source-linked by VulniPulse. Data sources, validation and limitations.

CVE-2026-53923 Source published Source updated

VulniPulse record published Record updated

CVE-2026-53923
Affected products & platforms
Red Hat LinuxUnclassified
Open source advisory

Summary

vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing.

The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory.

In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.

A flaw was found in vLLM. Red Hat rates this issue as having Low impact for Red Hat AI products.

The upstream issue is limited information disclosure via integer truncation in vLLM sampling parameters. Red Hat OpenShift AI, Red Hat AI Inference Server, and Red Hat Enterprise Linux AI images are not considered affected because untrusted clients cannot control the vulnerable parameters in supported deployment models.

Red Hat severity: Low — CVSS 4.3 (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N). Weakness: CWE-824.

Red Hat fixing advisory: RHSA-2026:59138, RHSA-2026:59139, RHSA-2026:60363, RHSA-2026:62335, RHSA-2026:62336.

Is CVE-2026-53923 exploited?

No exploitation is reported in the sources VulniPulse tracks: CVE-2026-53923 is not in the CISA KEV catalog (checked ) and this advisory does not report exploitation. That is not proof the vulnerability cannot be exploited.

How do I fix CVE-2026-53923?

Upgrade to a fixed release named by Red Hat:

  • 0.23
  • rhaiis/vllm-cuda-rhel9:1787161382
  • rhaiis/vllm-rocm-rhel9:1787161803
  • rhaiis/vllm-spyre-rhel9:1787161776
  • rhelai3/disk-image-cuda-rhel9:1788290314
  • rhelai3/bootc-aws-cuda-rhel9:1788273908
  • rhelai3/bootc-azure-cuda-rhel9:1788273909
  • rhelai3/bootc-azure-rocm-rhel9:1788273908
  • rhelai3/bootc-cuda-rhel9:1788260684
  • rhelai3/bootc-gcp-cuda-rhel9:1788273977
  • rhelai3/bootc-rocm-rhel9:1788260620
  • RHSA-2026:59138

4 more fixed releases are listed below.

Confirm against the vendor advisory before you patch.

Affected versions

No affected-version range was extracted from the source record. The vendor advisory is authoritative. Check it before change work.

Official advisory · high-confidence parse· fetched 14 days ago·verify at source

Fixed versions
  • 0.23
  • rhaiis/vllm-cuda-rhel9:1787161382
  • rhaiis/vllm-rocm-rhel9:1787161803
  • rhaiis/vllm-spyre-rhel9:1787161776
  • rhelai3/disk-image-cuda-rhel9:1788290314
  • rhelai3/bootc-aws-cuda-rhel9:1788273908
  • rhelai3/bootc-azure-cuda-rhel9:1788273909
  • rhelai3/bootc-azure-rocm-rhel9:1788273908
  • rhelai3/bootc-cuda-rhel9:1788260684
  • rhelai3/bootc-gcp-cuda-rhel9:1788273977
  • rhelai3/bootc-rocm-rhel9:1788260620
  • RHSA-2026:59138
  • RHSA-2026:59139
  • RHSA-2026:60363
  • RHSA-2026:62335
  • RHSA-2026:62336

Official advisory · high-confidence parse· fetched 14 days ago·verify at source

Mitigation checklist

Recommended fix / mitigation
  • No mitigation is required for unaffected deployments. Restrict untrusted access to inference APIs as a general hardening measure.

Official advisory · high-confidence parse· fetched 14 days ago·verify at source

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