Vulnerability · Published Jul 6, 2026 · Assigned by GitHub_M
CVE-2026-55646vLLM speech-to-text endpoints allocate full upload before enforcing the audio file-size limit
Medium 6.5
In plain English
A medium-severity uncontrolled resource consumption in vllm from vllm-project. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.5% (higher than 44% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | vllm | 0.24.0 | GHSA-v82g-2437-67m2 |
| PyPI | vllm | 0.24.0 | PYSEC-2026-2305 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| vllm-project | vllm | >= 0.22.0, < 0.24.0 |
Weakness: CWE-400, CWE-770 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
References
- https://github.com/vllm-project/vllm/security/advisories/GHSA-v82g-2437-67m2 x_refsource_CONFIRM
- https://github.com/vllm-project/vllm/pull/45510 x_refsource_MISC
- https://github.com/vllm-project/vllm/commit/b997071ec493765abbed990c65843ed05e4708a8 x_refsource_MISC