CVE-2026-115913

vLLM: Phi-4 multimodal audio encoder materializes and retains full attention matrices: a single max-length audio OOM-crashes the vLLM engine

publishedCWE-770

vLLM is an inference and serving engine for large language models. Prior to 0.32.0, the Phi-4 multimodal audio encoder in phi4mm_audio.py and phi4mm_utils.py uses eager attention by default, allowing a remote client to submit one legal long audio clip that causes MultiHeadedAttention.forward_attention to materialize and retain full attention matrices in self.attn. The scaled dot-product attention branch does not materialize these matrices. The resulting quadratic GPU-memory use can cause an out-of-memory condition and terminate EngineCore for all users. This issue is fixed in version 0.32.0.

Technical severity6.5 mediumCVSS 3.1 · CNA: GitHub_M

Published2026-10-26Source updated 2026-11-02

Collected2026-11-023 attributed sources

Fixes and workarounds

Fix

vllm (PyPI): OSV reports a fixed version 0.32.0. Check the advisory for supported release branches.

Source: OSV GHSA-8397-8qf6-f2gm

Affected products and versions

Affected products, source version ranges and reporting authorities
Product	Versions	Authority
vllm vllm-project	< 0.32.0 (affected)	CNA: GitHub_M
vllm `vllm` PyPI	0.0.1 (affected, PyPI) 0.1.0 (affected, PyPI) 0.1.1 (affected, PyPI) 0.1.2 (affected, PyPI) 0.1.3 (affected, PyPI) 0.1.4 (affected, PyPI) 0.1.5 (affected, PyPI) 0.1.6 (affected, PyPI) 0.1.7 (affected, PyPI) 0.10.0 (affected, PyPI) 0.10.1 (affected, PyPI) 0.10.1.1 (affected, PyPI) 0.10.2 (affected, PyPI) 0.11.0 (affected, PyPI) 0.11.1 (affected, PyPI) 0.11.2 (affected, PyPI) 0.12.0 (affected, PyPI) 0.13.0 (affected, PyPI) 0.14.0 (affected, PyPI) 0.14.1 (affected, PyPI) 0.15.0 (affected, PyPI) 0.15.1 (affected, PyPI) 0.16.0 (affected, PyPI) 0.17.0 (affected, PyPI) 0.17.1 (affected, PyPI) 0.18.0 (affected, PyPI) 0.18.1 (affected, PyPI) 0.19.0 (affected, PyPI) 0.19.1 (affected, PyPI) 0.2.0 (affected, PyPI) 0.2.1 (affected, PyPI) 0.2.1.post1 (affected, PyPI) 0.2.2 (affected, PyPI) 0.2.3 (affected, PyPI) 0.2.4 (affected, PyPI) 0.2.5 (affected, PyPI) 0.2.6 (affected, PyPI) 0.2.7 (affected, PyPI) 0.20.0 (affected, PyPI) 0.20.1 (affected, PyPI) 0.20.2 (affected, PyPI) 0.21.0 (affected, PyPI) 0.22.0 (affected, PyPI) 0.22.1 (affected, PyPI) 0.23.0 (affected, PyPI) 0.24.0 (affected, PyPI) 0.25.0 (affected, PyPI) 0.25.1 (affected, PyPI) 0.26.0 (affected, PyPI) 0.27.0 (affected, PyPI) 0.27.1 (affected, PyPI) 0.28.0 (affected, PyPI) 0.29.0 (affected, PyPI) 0.3.0 (affected, PyPI) 0.3.1 (affected, PyPI) 0.3.2 (affected, PyPI) 0.3.3 (affected, PyPI) 0.30.0 (affected, PyPI) 0.31.0 (affected, PyPI) 0.4.0 (affected, PyPI) 0.4.0.post1 (affected, PyPI) 0.4.1 (affected, PyPI) 0.4.2 (affected, PyPI) 0.4.3 (affected, PyPI) 0.5.0 (affected, PyPI) 0.5.0.post1 (affected, PyPI) 0.5.1 (affected, PyPI) 0.5.2 (affected, PyPI) 0.5.3 (affected, PyPI) 0.5.3.post1 (affected, PyPI) 0.5.4 (affected, PyPI) 0.5.5 (affected, PyPI) 0.6.0 (affected, PyPI) 0.6.1 (affected, PyPI) 0.6.1.post1 (affected, PyPI) 0.6.1.post2 (affected, PyPI) 0.6.2 (affected, PyPI) 0.6.3 (affected, PyPI) 0.6.3.post1 (affected, PyPI) 0.6.4 (affected, PyPI) 0.6.4.post1 (affected, PyPI) 0.6.5 (affected, PyPI) 0.6.6 (affected, PyPI) 0.6.6.post1 (affected, PyPI) 0.7.0 (affected, PyPI) 0.7.1 (affected, PyPI) 0.7.2 (affected, PyPI) 0.7.3 (affected, PyPI) 0.8.0 (affected, PyPI) 0.8.1 (affected, PyPI) 0.8.2 (affected, PyPI) 0.8.3 (affected, PyPI) 0.8.4 (affected, PyPI) 0.8.5 (affected, PyPI) 0.8.5.post1 (affected, PyPI) 0.9.0 (affected, PyPI) 0.9.0.1 (affected, PyPI) 0.9.1 (affected, PyPI) 0.9.2 (affected, PyPI) Ecosystem version events: introduced 0; fixed 0.32.0 Source events (ECOSYSTEM) `[ { "introduced": "0" }, { "fixed": "0.32.0" } ]` Other versions: unaffected	OSV GHSA-8397-8qf6-f2gm

Version ranges are source assertions. Check the vendor advisory and your installed configuration before determining exposure.

CVSS assessments

CVSS scores, vectors and reporting authorities
Version / score	Vector	Authority
3.1 / 6.5 medium	`CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H`	CNA: GitHub_M

Exploit evidence

No exploit evidence in collected sources. This is not proof of no exploitation.

References

https://github.com/vllm-project/vllm/security/advisories/GHSA-8397-8qf6-f2gmCNA: GitHub_M · x_refsource_CONFIRM
https://github.com/vllm-project/vllm/pull/60614CNA: GitHub_M · x_refsource_MISC
https://github.com/vllm-project/vllm/commit/3d52578e13454de0bb8352cac988347cdcc89928CNA: GitHub_M · x_refsource_MISC
https://github.com/vllm-project/vllm/releases/tag/v0.32.0CNA: GitHub_M · x_refsource_MISC
https://github.com/advisories/GHSA-8397-8qf6-f2gmOSV / GitHub Security Advisories · advisory
https://osv.dev/vulnerability/GHSA-8397-8qf6-f2gmOSV / GitHub Security Advisories · osv

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