Allocation of Resources Without Limits or Throttling in vLLM - CVE-2026-115913
Published: October 21, 2026 / Updated: November 2, 2026
Vulnerability identifier: #VU156673
CSH Severity: Low
CVSS v4: 7.1 [CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N]
CVE-ID: CVE-2026-115913
CWE-ID: CWE-770
Exploitation vector: Remote access
Exploit availability:
No public exploit available
Vulnerability details
The vulnerability allows a remote user to exhaust GPU memory and cause a denial of service of the vLLM engine.
The vulnerability exists due to excessive resource allocation and retention in the Phi-4 multimodal audio encoder when processing audio inputs using eager attention. A remote user can submit a request containing a 10-minute audio clip to the chat/completions API to exhaust GPU memory and crash the engine, as full attention matrices are materialized and retained on each encoder layer.
Affected software
vLLM
How to mitigate CVE-2026-115913
Install security update from vendor's website.
vLLM - update to 0.32.0