Server-Side Request Forgery (SSRF) Affecting vllm package, versions *
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-MINIMOSLATEST-VLLM-19204502
- published23 Aug 2026
- disclosed17 Aug 2026
Introduced: 17 Aug 2026
CVE-2026-73560 (opens in a new tab)How to fix?
There is no fixed version for Minimos:latest vllm.
NVD Description
Note: Versions mentioned in the description apply only to the upstream vllm package and not the vllm package as distributed by Minimos.
See How to fix? for Minimos:latest relevant fixed versions and status.
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.
References
- https://www.cve.org/CVERecord?id=CVE-2026-73560
- https://osv.dev/vulnerability/MINI-mjp4-p299-vcwj
- https://osv.dev/vulnerability/CVE-2026-73560
- 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
- https://github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66f-j5j7