VLLM deserialization vulnerability leading to DoS and potential RCE
Key facts
- Attack vector
- Network
- Privileges required
- Low
- User interaction
- None
- Attack complexity
- Low
- Impact type
- Code execution
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- Partial Red Hat: 4 fixed, 1 without a fix
Attack profile from CVSS 3.1 · CNA. Fix status from CNA, GitHub and Red Hat. Impact type from CWE-502.
Summary
vLLM is an inference and serving engine for large language models (LLMs). From versions 0.10.2 to before 0.11.1, a memory corruption vulnerability could lead to a crash (denial-of-service) and potentially remote code execution (RCE), exists in the Completions API endpoint. When processing user-supplied prompt embeddings, the endpoint loads serialized tensors using torch.load() without sufficient validation. Due to a change introduced in PyTorch 2.8.0, sparse tensor integrity checks are disabled by default. As a result, maliciously crafted tensors can bypass internal bounds checks and trigger an out-of-bounds memory write during the call to to_dense(). This memory corruption can crash vLLM and potentially lead to code execution on the server hosting vLLM. This issue has been patched in version 0.11.1.
Why it matters now
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- None
- Automatable
- No
- Technical impact
- Total
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 | 0.10.2 to before 0.11.1 | 0.11.1 | Patch available | CNA |
| — | vllm (PyPI) | 0.10.2 to before 0.11.1 | 0.11.1 | Patch available | GHSA-mrw7-hf4f-83pf |
- vllm Vendorvllm-project Affected 0.10.2 to before 0.11.1 Fixed in 0.11.1 Patch available CNA
- vllm (PyPI) Vendor— Affected 0.10.2 to before 0.11.1 Fixed in 0.11.1 Patch available GHSA-mrw7-hf4f-83pf
Remediation
- Fix · CNA vllm (vllm-project) Fixed in 0.11.1
- Fix · GHSA-mrw7-hf4f-83pf vllm (PyPI) Fixed in 0.11.1 Advisory →
Red Hat 10 advisories
- RHSA-2026:30087 Released 2026-06-25 · Red Hat rating CriticalRed Hat AI Inference Server 3.3.5 (Spyre)
- Red Hat AI Inference Server 3.3 registry.redhat.io/rhaiis/vllm-spyre-rhel9
- RHSA-2026:19712 Released 2026-05-20 · Red Hat rating CriticalRHOAI 3.3.3 - Red Hat OpenShift AI
- Red Hat OpenShift AI 3.3 registry.redhat.io/rhoai/odh-built-in-detector-rhel9, registry.redhat.io/rhoai/odh-dashboard-rhel9, registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9 +33
- RHSA-2026:3713 Released 2026-03-04 · Red Hat rating CriticalRHOAI 3.3 - Red Hat OpenShift AI
- Red Hat OpenShift AI 3.3 registry.redhat.io/rhoai/odh-built-in-detector-rhel9, registry.redhat.io/rhoai/odh-dashboard-rhel9, registry.redhat.io/rhoai/odh-data-science-pipelines-argo-argoexec-rhel9 +47
Show 7 more Red Hat advisories
- RHSA-2026:3462 Released 2026-02-27 · Red Hat rating CriticalRed Hat AI Inference Server 3.2.2 (ROCm)
- Red Hat AI Inference Server 3.2 registry.redhat.io/rhaiis/vllm-rocm-rhel9
- RHSA-2026:3461 Released 2026-02-27 · Red Hat rating CriticalRed Hat AI Inference Server 3.2.2 (CUDA)
- Red Hat AI Inference Server 3.2 registry.redhat.io/rhaiis/vllm-cuda-rhel9
- RHSA-2025:23531 Released 2025-12-17 · Red Hat rating ImportantRHOAI 2.25.1 - Red Hat OpenShift AI
- Red Hat OpenShift AI 2.25 registry.redhat.io/rhoai/odh-built-in-detector-rhel9, registry.redhat.io/rhoai/odh-caikit-nlp-rhel9, registry.redhat.io/rhoai/odh-caikit-tgis-serving-rhel9 +34
- RHSA-2025:23449 Released 2025-12-17 · Red Hat rating ImportantRed Hat AI Inference Server 3.2.5 (ROCm)
- Red Hat AI Inference Server 3.2 registry.redhat.io/rhaiis/vllm-rocm-rhel9
- RHSA-2025:23209 Released 2025-12-15 · Red Hat rating ImportantRed Hat AI Inference Server 3.2.5 (TPU)
- Red Hat AI Inference Server 3.2 registry.redhat.io/rhaiis/vllm-tpu-rhel9
- RHSA-2025:23205 Released 2025-12-15 · Red Hat rating ImportantRed Hat AI Inference Server 3.2.5 (ROCm)
- Red Hat AI Inference Server 3.2 registry.redhat.io/rhaiis/vllm-rocm-rhel9
- RHSA-2025:23204 Released 2025-12-15 · Red Hat rating ImportantRed Hat AI Inference Server 3.2.5 (CUDA)
- Red Hat AI Inference Server 3.2 registry.redhat.io/rhaiis/vllm-cuda-rhel9
Vendor assessments
Red Hat
Red Hat rating: Important. Red Hat's page for this CVE →
| Product | Status | Plan or fix |
|---|---|---|
| Red Hat Enterprise Linux AI (RHEL AI) 3 | Affected | No fix planned: Will not fix |
| Red Hat AI Inference Server 3.2 | Fixed | RHSA-2025:23204, RHSA-2025:23205, RHSA-2025:23209, RHSA-2025:23449, RHSA-2026:3461, RHSA-2026:3462 |
| Red Hat AI Inference Server 3.3 | Fixed | RHSA-2026:30087 |
| Red Hat OpenShift AI 2.25 | Fixed | RHSA-2025:23531 |
| Red Hat OpenShift AI 3.3 | Fixed | RHSA-2026:19712, RHSA-2026:3713 |
Not affected: 4 products
- Red Hat Enterprise Linux AI (RHEL AI)
- Red Hat OpenShift AI (RHOAI)
- Red Hat OpenShift AI 2.25
- Red Hat OpenShift AI 3.3
Timeline
- 2026-10-02 Threatist record created from CVE-2025-62164
- 2026-10-03 Alias added: GHSA-mrw7-hf4f-83pf
References
Patch 2
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-2025-62164 · CVE Program
- CVE-2025-62164 · NVD
- FIRST EPSS
- GHSA-mrw7-hf4f-83pf · GitHub Advisory Database · CC BY 4.0
- CVE-2025-62164 · 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