Resource exhaustion in Vllm-project Vllm
CVE-2026-34755
vLLM is an inference and serving engine for large language models (LLMs). From 0.7.0 to before 0.19.0, the VideoMediaIO.load_base64() method at vllm/multimodal/media/video.py splits video/jpeg data URLs by comma to extract individual JPEG…
EPSS: 0.001 (17.1th 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 >= 0.7.0, < 0.19.0
Weakness classification (CWE)
References
- https://github.com/vllm-project/vllm/security/advisories/GHSA-pq5c-rjhq-qp7p (x_refsource_CONFIRM)
Frequently asked questions
- What is CVE-2026-34755?
- CVE-2026-34755 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-2026-34755?
- Medium severity. CVSS v3 base score is 6.5 out of 10.