medium6.5
CVE-2026-54233
vLLM is an inference and serving engine for large language models (LLMs).
Impact
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0.
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | vllm | <= 0.23.0 | 0.24.0 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Vllm | Vllm | before 0.23.1 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/advisories/GHSA-6pr9-rp53-2pmc
- https://github.com/vllm-project/vllm/security/advisories/GHSA-6pr9-rp53-2pmc
- https://github.com/vllm-project/vllm/pull/44970
- https://github.com/vllm-project/vllm/commit/1b1359c33269446f13c05da9a90c25174cbea590
- https://github.com/vllm-project/vllm/releases/tag/v0.23.1rc0
- https://nvd.nist.gov/vuln/detail/CVE-2026-54233
- https://github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2026-3404.yaml
- https://github.com/vllm-project/vllm
- https://pypi.org/project/vllm