Allocation of Resources Without Limits or Throttling Affecting vllm package, versions [,0.32.0)


Severity

Recommended
0.0
high
0
10

CVSS assessment by Snyk's Security Team. Learn more

Threat Intelligence

EPSS
0.31% (24th percentile)

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  • Snyk IDSNYK-PYTHON-VLLM-21755393
  • published27 Oct 2026
  • disclosed26 Oct 2026
  • creditC1ves

Introduced: 26 Oct 2026

NewCVE-2026-115913  (opens in a new tab)
CWE-770  (opens in a new tab)

How to fix?

Upgrade vllm to version 0.32.0 or higher.

Overview

vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs

Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling via the MultiHeadedAttention module in phi4mm_utils.py, where attention matrices computed during Phi-4 multimodal audio processing are retained as instance attributes (self.attn) on the module object. This causes unbounded memory growth across inference requests, as each forward pass overwrites the attribute with a new tensor that is never released, allowing an attacker who can submit audio inference requests to exhaust available memory and crash the server.

CVSS Base Scores

version 4.0
version 3.1