| Component | vLLM |
| Severity | critical (CVSS 9.8) |
| CVSS vector | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H |
| Published (NVD) | 2026-02-02 |
| Last modified | 2026-07-15 |
| Affected versions | vllm >= 0.8.3, < 0.14.1 |
| Fixed in | 0.14.1 |
| Weakness | CWE-532CWE-209 |
| CISA KEV | not listed |
NVD description
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.
What to do
- Upgrade vLLM to
0.14.1or later. - Do not expose the component's API or UI to the internet without authentication in front of it.
Sources
- NVD: CVE-2026-22778
- https://github.com/vllm-project/vllm/security/advisories/GHSA-4r2x-xpjr-7cvv
- https://github.com/vllm-project/vllm/pull/31987
- https://github.com/vllm-project/vllm/pull/32319
- https://github.com/vllm-project/vllm/releases/tag/v0.14.1
- https://access.redhat.com/errata/RHSA-2026:19712
- https://access.redhat.com/errata/RHSA-2026:30087
- https://access.redhat.com/errata/RHSA-2026:30088
- https://access.redhat.com/errata/RHSA-2026:30089
- https://access.redhat.com/errata/RHSA-2026:3461
- https://access.redhat.com/errata/RHSA-2026:3462
Read more
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