vLLM leaks a heap address when PIL throws an error
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- None
- Attack complexity
- Low
- Impact type
- Information disclosure, 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-532, CWE-122 and the CVSS impact.
Summary
vLLM is an inference and serving engine for large language models (LLMs). From 0.8.3 to before 0.14.1, when an invalid image is sent to vLLM's multimodal endpoint, PIL throws an error. vLLM returns this error to the client, leaking a heap address. With this leak, we reduce ASLR from 4 billion guesses to ~8 guesses. This vulnerability can be chained a heap overflow with JPEG2000 decoder in OpenCV/FFmpeg to achieve remote code execution. This vulnerability is fixed in 0.14.1.
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 | 0.8.3 to before 0.14.1 | 0.14.1 | Patch available | CNA |
| — | vllm (PyPI) | 0.8.3 to before 0.14.1 | 0.14.1 | Patch available | GHSA-4r2x-xpjr-7cvv |
- vllm Vendorvllm-project Affected 0.8.3 to before 0.14.1 Fixed in 0.14.1 Patch available CNA
- vllm (PyPI) Vendor— Affected 0.8.3 to before 0.14.1 Fixed in 0.14.1 Patch available GHSA-4r2x-xpjr-7cvv
Remediation
- Fix · CNA vllm (vllm-project) Fixed in 0.14.1
- Fix · GHSA-4r2x-xpjr-7cvv vllm (PyPI) Fixed in 0.14.1 Advisory →
Red Hat 8 advisories
- RHSA-2026:30089 Released 2026-06-25 · Red Hat rating CriticalRed Hat AI Inference Server 3.3.5 (CUDA)
- Red Hat AI Inference Server 3.3 registry.redhat.io/rhaiis/vllm-cuda-rhel9
- RHSA-2026:30088 Released 2026-06-25 · Red Hat rating CriticalRed Hat AI Inference Server 3.3.5 (ROCm)
- Red Hat AI Inference Server 3.3 registry.redhat.io/rhaiis/vllm-rocm-rhel9
- 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
Show 5 more Red Hat advisories
- 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
- 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
Vendor assessments
Red Hat
Red Hat rating: Critical. Red Hat's page for this CVE →
| Product | Status | Plan or fix |
|---|---|---|
| Red Hat Enterprise Linux AI (RHEL AI) 3 | Affected | No fix planned: Out of support scope |
| Red Hat AI Inference Server 3.2 | Fixed | RHSA-2026:3461, RHSA-2026:3462 |
| Red Hat AI Inference Server 3.3 | Fixed | RHSA-2026:30087, RHSA-2026:30088, RHSA-2026:30089 |
| 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: 4 products
- Red Hat AI Inference Server
- 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-2026-22778
- 2026-10-03 Alias added: GHSA-4r2x-xpjr-7cvv
- 2026-10-12 Priority changed: MEDIUM → HIGH
References
Patch 2
Advisory 3
Other 15
- https://github.com/vllm-project/vllm/releases/tag/v0.14.1
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-22778.json
- https://pypi.org/project/vllm
- https://github.com/vllm-project/vllm
- https://github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2026-565.yaml
- https://bugzilla.redhat.com/show_bug.cgi?id=2436113
- https://access.redhat.com/security/cve/CVE-2026-22778
- https://access.redhat.com/errata/RHSA-2026:3782
- https://access.redhat.com/errata/RHSA-2026:3713
- https://access.redhat.com/errata/RHSA-2026:3462
- https://access.redhat.com/errata/RHSA-2026:3461
- https://access.redhat.com/errata/RHSA-2026:30089
- https://access.redhat.com/errata/RHSA-2026:30088
- https://access.redhat.com/errata/RHSA-2026:30087
- https://access.redhat.com/errata/RHSA-2026:19712
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-2026-22778 · CVE Program
- CVE-2026-22778 · NVD
- FIRST EPSS
- GHSA-4r2x-xpjr-7cvv · GitHub Advisory Database · CC BY 4.0
- CVE-2026-22778 · 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