vLLM is an inference and serving engine for large language models (LLMs). In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimension mismatch that results in an unhandled runtime error, leading to complete server termination. This issue has been patched in version 0.12.0.
CVE-2026-22773
This medium-severity CVE scores 6.5 under NVD CVSS v3. EPSS exploit probability: 0.0%, top 93% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- Lower severity and no public exploit yet
A fix is available — apply it.
- CVSS v3
- 6.5
- EG Score
- 6.5(medium)
- EPSS
- 32.9%
- KEV
- Not listed
Published
January 10, 2026
Last Modified
January 27, 2026
References (1)
- security-advisories@githubhttps://github.com/vllm-project/vllm/security/advisories/GHSA-grg2-63fw-f2qr
Vendor Advisories for CVE-2026-22773(6)
These vendors published their own advisory mentioning this CVE — often with vendor-specific remediation steps + affected product lists not in NVD.
- RHSA-2026:42644Red Hat Product SecurityHigh
Red Hat Security Advisory: RHOAI 2.25.9 - Red Hat OpenShift AI
- RHSA-2026:30087Red Hat Product SecurityCritical
Red Hat Security Advisory: Red Hat AI Inference Server 3.3.5 (Spyre)
- RHSA-2026:10184Red Hat Product SecurityHigh
Red Hat Security Advisory: RHOAI 2.25.5 - Red Hat OpenShift AI
- RHSA-2026:3462Red Hat Product SecurityCritical
Red Hat Security Advisory: Red Hat AI Inference Server 3.2.2 (ROCm)
- RHSA-2026:3461Red Hat Product SecurityCritical
Red Hat Security Advisory: Red Hat AI Inference Server 3.2.2 (CUDA)
- GHSA-grg2-63fw-f2qrGitHub Security AdvisoriesMedium
vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions
Patch Availability(3)
| Vendor / Ecosystem | Fixed in / Patch | Released | Source |
|---|---|---|---|
| redhat | rhoai/odh-vllm-cpu-rhel9:1776259063 | 2026-04-23 | redhat |
| redhat | rhaiis/vllm-cuda-rhel9:1772160593 | 2026-02-27 | redhat |
| redhat | rhaiis/vllm-rocm-rhel9:1772160625 | 2026-02-27 | redhat |
Patches are aggregated from vendor advisories (Red Hat, Microsoft, Cisco, GitHub) and package ecosystems (OSV, GHSA). Multiple rows for the same upstream release have been deduplicated.
Affected Packages
(1 across 1 ecosystem)
PyPI(1)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| vllm | 0.10.0 ... 0.9.2 (27 versions) | 0.12.0 | — |
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 12× in last 7d / 50× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
- 2026-07-22 14:08 UTCEPSS rescore
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- 2026-05-29 16:20 UTCVendor advisory
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Frequently asked(5)
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