Improper Input Validation Affecting vllm-cu130 package, versions <0.30.0-r0
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-VLLMCU130-20542310
- published7 Oct 2026
- disclosed5 Oct 2026
Introduced: 5 Oct 2026
NewCVE-2026-105757 (opens in a new tab)How to fix?
Upgrade Minimos:latest vllm-cu130 to version 0.30.0-r0 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream vllm-cu130 package and not the vllm-cu130 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 0.30.0, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculative-decoding mode can pass a negative token to guidance validation, and the Rust frontend can admit empty structured-output values that the Python frontend rejects, allowing ordinary constrained-generation requests to terminate the shared engine. This issue is fixed in version 0.30.0.
References
- https://www.cve.org/CVERecord?id=CVE-2026-105757
- https://github.com/advisories/GHSA-85xf-c7hm-whqw
- https://osv.dev/vulnerability/MINI-c8qj-hf4w-8cp2
- https://osv.dev/vulnerability/CVE-2026-105757
- https://github.com/vllm-project/vllm/commit/c55e15a44ec4127832d4a86928a356fdd9e68dbd
- https://github.com/vllm-project/vllm/pull/51450
- https://github.com/vllm-project/vllm/releases/tag/v0.30.0
- https://github.com/vllm-project/vllm/security/advisories/GHSA-85xf-c7hm-whqw