Resource Exhaustion Affecting vllm-cu130 package, versions <0.24.0-r0
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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-VLLMCU130-17897194
- published9 Jul 2026
- disclosed6 Jul 2026
Introduced: 6 Jul 2026
CVE-2026-55646 (opens in a new tab)How to fix?
Upgrade Minimos:latest vllm-cu130 to version 0.24.0-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. From 0.22.0 to 0.23.0, the /v1/audio/transcriptions and /v1/audio/translations routes call request.file.read() to fully materialize an uploaded audio file into memory before vLLM checks the documented VLLM_MAX_AUDIO_CLIP_FILESIZE_MB compressed upload size limit (default 25 MB) later in the speech-to-text preprocessing step, so an API caller who can reach those routes can submit an oversized multipart upload and cause vLLM to allocate memory proportional to the uploaded file size before the request is rejected as too large, creating memory pressure or terminating the process depending on deployment resource limits. This issue is fixed in version 0.24.0.
References
- https://www.cve.org/CVERecord?id=CVE-2026-55646
- https://osv.dev/vulnerability/MINI-r39v-r69q-6cwv
- https://osv.dev/vulnerability/CVE-2026-55646
- https://github.com/vllm-project/vllm/commit/b997071ec493765abbed990c65843ed05e4708a8
- https://github.com/vllm-project/vllm/pull/45510
- https://github.com/vllm-project/vllm/security/advisories/GHSA-v82g-2437-67m2