Resource exhaustion in Vllm-project Vllm
CVE-2026-34756
vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n…
EPSS: 0.000 (15.6th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.
Affected products
- Vllm-project Vllm — versions >= 0.1.0, < 0.19.0
Weakness classification (CWE)
References
- https://github.com/vllm-project/vllm/security/advisories/GHSA-3mwp-wvh9-7528 (x_refsource_CONFIRM)
- https://github.com/vllm-project/vllm/pull/37952 (x_refsource_MISC)
- https://github.com/vllm-project/vllm/commit/b111f8a61f100fdca08706f41f29ef3548de7380 (x_refsource_MISC)
Frequently asked questions
- What is CVE-2026-34756?
- CVE-2026-34756 is a medium-severity vulnerability in Vllm-project Vllm, classified under Allocation of Resources Without Limits or Throttling. CVSS score: 6.5/10. Published 2026-04-06.
- How severe is CVE-2026-34756?
- Medium severity. CVSS v3 base score is 6.5 out of 10.