Resource exhaustion in Vllm-Project Vllm
CVE-2026-100649
vLLM before 0.29.0 contains a resource-limit bypass vulnerability in PyNvVideoCodec decoder allocation where sampler subclass shadowing allows independent counter increments. Unauthenticated attackers can select different sampler subclasses in video requests to exceed configured decoder limits and exhaust unaccounted GPU memory.
Published .
CVSS v3 metric
CVSS v3 base score 3.7 (Low). Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L.
EPSS exploit prediction
No EPSS score from FIRST.org yet. New CVEs usually get one within a few days; no score means no signal yet, not low risk. How EPSS works.
Affected products
Weakness classification (CWE)
References
- github.com/vllm-project/vllm/security/advisories/GHSA-j682-9xp5-rrf3 (vendor-advisory)
- www.vulncheck.com/advisories/vllm-before-0.29.0-resource-limit-bypass-via-sampl… (third-party-advisory)
Frequently asked questions
- What is CVE-2026-100649?
- CVE-2026-100649 is a low-severity vulnerability in Vllm-Project Vllm, classified under Allocation of Resources Without Limits or Throttling. CVSS score: 3.7/10. Published 2026-09-26.
- How severe is CVE-2026-100649?
- Low severity. CVSS v3 base score is 3.7 out of 10.