Resource exhaustion in Sgl-Project Sglang
CVE-2026-109227
SGLang through 0.5.21 contains an unbounded memory allocation vulnerability in preprocess_video in qwen_vl.py that decodes frames at full source resolution before applying max_pixels limits. Remote attackers can submit high-resolution videos to /v1/chat/completions on Qwen-VL deployments, and concurrent requests exhaust worker memory causing denial of service.
Published · last modified .
CVSS v3 metric
CVSS v3 base score 7.5 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H.
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/sgl-project/sglang (product)
- github.com/sgl-project/sglang/blob/v0.5.21/python/sglang/srt/multimodal/process… (technical-description)
- github.com/sgl-project/sglang/issues/43710 (issue-tracking)
- www.vulncheck.com/advisories/sglang-through-0.5.21-memory-exhaustion-dos-via-qw… (third-party-advisory)
Frequently asked questions
- What is CVE-2026-109227?
- CVE-2026-109227 is a high-severity vulnerability in Sgl-Project Sglang, classified under Allocation of Resources Without Limits or Throttling. CVSS score: 7.5/10. Published 2026-10-12.
- How severe is CVE-2026-109227?
- High severity. CVSS v3 base score is 7.5 out of 10.