| Component | vLLM |
| Severity | medium (CVSS 6.5) |
| CVSS vector | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N |
| Published (NVD) | 2026-08-17 |
| Last modified | 2026-09-28 |
| Affected versions | vllm < 0.26.0 |
| Fixed in | 0.26.0 |
| Weakness | CWE-918 |
| CISA KEV | not listed |
NVD description
vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the MiMoV2OmniMultiModalProcessor in vllm/transformers_utils/processors/mimo_v2_omni.py passes attacker-controlled image and audio strings through _fetch_image, requests.get, and Image.open instead of MediaConnector, bypassing allowed_media_domains and allowed_local_media_path protections and allowing server-side requests and reads of arbitrary files accessible to the vLLM process. This issue is fixed in version 0.26.0.
What to do
- Upgrade vLLM to
0.26.0or later. - Do not expose the component's API or UI to the internet without authentication in front of it.
Sources
- NVD: CVE-2026-73560
- https://github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66f-j5j7
- https://github.com/vllm-project/vllm/commit/54503ecec0f3ac31e5ecfc5f28652e4cc42307b5
- https://github.com/vllm-project/vllm/pull/43117
- https://github.com/vllm-project/vllm/releases/tag/v0.26.0
Read more
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