vLLM GGUF Kernels: int64_t to int truncation of tensor dimensions causes GPU buffer overflow
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- Passive
- Attack complexity
- Low
- Attack requirements
- None
- Impact type
- Information disclosure
- Confidentiality · integrity · availability
- Low · Low · None
- Fix status
- Fixed
Attack profile from CVSS 4.0 · CNA. Fix status from CNA, GitHub and Red Hat. Impact type from CWE-200.
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.
Why it matters now
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- None
- Automatable
- No
- Technical impact
- Partial
The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.
Affected products
| Vendor | Product | Affected versions | Fixed in | Status | Source |
|---|---|---|---|---|---|
| vllm-project | vllm | 0.5.5 to before 0.23.1rc0 | 0.23.1rc0 | Patch available | CNA |
| — | vllm (PyPI) | 0.5.5 to before 0.24.0 | 0.24.0 | Patch available | GHSA-5jv2-g5wq-cmr4 |
- vllm Vendorvllm-project Affected 0.5.5 to before 0.23.1rc0 Fixed in 0.23.1rc0 Patch available CNA
- vllm (PyPI) Vendor— Affected 0.5.5 to before 0.24.0 Fixed in 0.24.0 Patch available GHSA-5jv2-g5wq-cmr4
Remediation
- Fix · CNA vllm (vllm-project) Fixed in 0.23.1rc0
- Fix · GHSA-5jv2-g5wq-cmr4 vllm (PyPI) Fixed in 0.24.0 Advisory →
Red Hat 5 advisories
- RHSA-2026:62336 Released 2026-09-01 · Red Hat rating ImportantRed Hat Enterprise Linux AI 3.3.6 enhancement update
- Red Hat Enterprise Linux AI 3.3 registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9, registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9, registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9 +3
- RHSA-2026:62335 Released 2026-09-01 · Red Hat rating ImportantRed Hat Enterprise Linux AI 3.3.6 enhancement update
- Red Hat Enterprise Linux AI 3.3 registry.redhat.io/rhelai3/disk-image-cuda-rhel9
- RHSA-2026:60363 Released 2026-08-26 · Red Hat rating ImportantRed Hat AI Inference Server 3.3.6 (Spyre)
- Red Hat AI Inference Server 3.3 registry.redhat.io/rhaiis/vllm-spyre-rhel9
Show 2 more Red Hat advisories
- RHSA-2026:59139 Released 2026-08-24 · Red Hat rating ImportantRed Hat AI Inference Server 3.3.6 (ROCm)
- Red Hat AI Inference Server 3.3 registry.redhat.io/rhaiis/vllm-rocm-rhel9
- RHSA-2026:59138 Released 2026-08-24 · Red Hat rating ImportantRed Hat AI Inference Server 3.3.6 (CUDA)
- Red Hat AI Inference Server 3.3 registry.redhat.io/rhaiis/vllm-cuda-rhel9
Vendor assessments
Red Hat
Red Hat rating: Low. Red Hat's page for this CVE →
| Product | Status | Plan or fix |
|---|---|---|
| Red Hat AI Inference Server 3.3 | Fixed | RHSA-2026:59138, RHSA-2026:59139, RHSA-2026:60363 |
| Red Hat Enterprise Linux AI 3.3 | Fixed | RHSA-2026:62335, RHSA-2026:62336 |
Not affected: 3 products
- Red Hat AI Inference Server
- Red Hat Enterprise Linux AI (RHEL AI) 3
- Red Hat OpenShift AI (RHOAI)
Timeline
- 2026-10-02 Threatist record created from CVE-2026-53923
- 2026-10-03 Alias added: GHSA-5jv2-g5wq-cmr4
References
Advisory 3
More vllm-project vulnerabilities
- TI-2024-10229 Remote Code Execution in vllm-project/vllm CVSS 3.0CRITICAL 9.8
- TI-2024-08404 Remote Code Execution in vllm-project/vllm CVSS 3.1CRITICAL 9.8
- TI-2026-36017 vLLM: OpenAI auth bypass CVSS 3.1CRITICAL 9.1
- TI-2026-63056 vLLM before 0.28.0 Denial of Service via negative token ID CVSS 4.0HIGH 8.7
- TI-2026-04308 Hardcoded trust_remote_code=True in vllm-project/vllm Bypasses User Security Control CVSS 3.0HIGH 8.8
- TI-2026-39137 vLLM: Remote DoS in vLLM via Invalid Recovered Token Reinjection CVSS 3.1HIGH 7.5
Sources
- CVE-2026-53923 · CVE Program
- CVE-2026-53923 · NVD
- FIRST EPSS
- GHSA-5jv2-g5wq-cmr4 · GitHub Advisory Database · CC BY 4.0
- CVE-2026-53923 · Red Hat security data · CC BY 4.0
This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences