Vulnerability Description
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.
CVSS Score
HIGH
Related Weaknesses (CWE)
References
- https://github.com/vllm-project/vllm/blob/main/vllm/multimodal/inputs.py
- https://github.com/vllm-project/vllm/pull/36506
- https://s00me00ne.com/cve/cve-2026-37237/
FAQ
What is CVE-2026-37237?
CVE-2026-37237 is a vulnerability with a CVSS score of 7.5 (HIGH). 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 ...
How severe is CVE-2026-37237?
CVE-2026-37237 has been rated HIGH with a CVSS base score of 7.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-37237?
Check the references section above for vendor advisories and patch information. Review vendor security bulletins for remediation guidance.