vLLM vulnerable to remote code execution via transformers_utils/get_config
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- Required
- Attack complexity
- Low
- Impact type
- Code execution
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- Partial Red Hat: 4 fixed, 3 without a fix
Attack profile from CVSS 3.1 · NVD. Fix status from CNA, GitHub and Red Hat. Impact type from CWE-94.
Summary
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.11.1, vllm has a critical remote code execution vector in a config class named Nemotron_Nano_VL_Config. When vllm loads a model config that contains an auto_map entry, the config class resolves that mapping with get_class_from_dynamic_module(...) and immediately instantiates the returned class. This fetches and executes Python from the remote repository referenced in the auto_map string. Crucially, this happens even when the caller explicitly sets trust_remote_code=False in vllm.transformers_utils.config.get_config. In practice, an attacker can publish a benign-looking frontend repo whose config.json points via auto_map to a separate malicious backend repo; loading the frontend will silently run the backend’s code on the victim host. This vulnerability is fixed in 0.11.1.
Why it matters now
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- None
- Automatable
- Yes
- 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 | before 0.11.1 | 0.11.1 | Patch available | CNA |
| — | vllm (PyPI) | before 0.11.1 | 0.11.1 | Patch available | GHSA-8fr4-5q9j-m8gm |
- vllm Vendorvllm-project Affected before 0.11.1 Fixed in 0.11.1 Patch available CNA
- vllm (PyPI) Vendor— Affected before 0.11.1 Fixed in 0.11.1 Patch available GHSA-8fr4-5q9j-m8gm
Remediation
- Fix · CNA vllm (vllm-project) Fixed in 0.11.1
- Fix · GHSA-8fr4-5q9j-m8gm vllm (PyPI) Fixed in 0.11.1 Advisory →
Red Hat 13 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-2026:3782 Released 2026-03-04 · Red Hat rating CriticalRHOAI 2.25.3 - Red Hat OpenShift AI
- Red Hat OpenShift AI 2.25 registry.redhat.io/rhoai/odh-caikit-tgis-serving-rhel9, registry.redhat.io/rhoai/odh-codeflare-operator-rhel9, registry.redhat.io/rhoai/odh-dashboard-rhel9 +27
Show 10 more Red Hat advisories
- 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
- 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-2025:23449 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
- RHSA-2025:23080 Released 2025-12-10 · Red Hat rating ImportantRed Hat AI Inference Server Model Optimization Tools 3.2.2 (CUDA)
- Red Hat AI Inference Server 3.2 registry.redhat.io/rhaiis/model-opt-cuda-rhel9
- RHSA-2025:23079 Released 2025-12-10 · Red Hat rating ImportantRed Hat AI Inference Server 3.2.2 (ROCm)
- Red Hat AI Inference Server 3.2 registry.redhat.io/rhaiis/vllm-rocm-rhel9
- RHSA-2025:23078 Released 2025-12-10 · Red Hat rating ImportantRed Hat AI Inference Server 3.2.2 (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) | Affected | No fix planned: Will not fix |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | Affected | No fix planned: Will not fix |
| Red Hat OpenShift AI (RHOAI) | Affected | No fix yet |
| Red Hat AI Inference Server 3.2 | Fixed | RHSA-2025:23078, RHSA-2025:23079, RHSA-2025:23080, 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-2026:3782 |
| Red Hat OpenShift AI 3.3 | Fixed | RHSA-2026:19712, RHSA-2026:3713 |
Not affected: 2 products
- Red Hat OpenShift AI 2.25
- Red Hat OpenShift AI 3.3
Timeline
- 2026-10-02 Threatist record created from CVE-2025-66448
- 2026-10-03 Alias added: GHSA-8fr4-5q9j-m8gm
- 2026-10-07 EPSS moved to the 50th–90th percentile
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-2025-66448 · CVE Program
- CVE-2025-66448 · NVD
- FIRST EPSS
- GHSA-8fr4-5q9j-m8gm · GitHub Advisory Database · CC BY 4.0
- CVE-2025-66448 · 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