Resource exhaustion in Vllm
CVE-2026-37237
vLLM up to and including 0.17.0 allows remote attackers to cause a Denial of Service via memory exhaustion. The AsyncMediaIO.fetch_audio and AsyncMediaIO.fetch_image functions in multimodal/inputs.py fetch user-supplied media URLs using aiohttp and call r.read() without enforcing a maximum response size, allowing an attacker to exhaust server memory by providing a URL to an arbitrarily large file.
Vulnerability class: DoS (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
EPSS: 0.007 (52.9th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 53rd percentile — 52.9% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.005 · newest: 0.007 · change: +0.002
Affected products
Weakness classification (CWE)
References
- github.com/vllm-project/vllm/pull/36506 (Patch, Issue Tracking)
- github.com/vllm-project/vllm/blob/main/vllm/multimodal/inputs.py (Product)
- s00me00ne.com/cve/cve-2026-37237/ (Third Party Advisory)
Frequently asked questions
- What is CVE-2026-37237?
- CVE-2026-37237 is a high-severity vulnerability in Vllm, classified under Uncontrolled Resource Consumption. CVSS score: 7.5/10. Published 2026-08-28.
- How severe is CVE-2026-37237?
- High severity. CVSS v3 base score is 7.5 out of 10.