CVE-2026-115913
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
This page contains facts from public vulnerability sources. Check the original advisory before updating.
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.
CVSS 6.5 · Medium · EPSS 0.3% · Fix available
- Published
- Updated
Stack: python
Affected products and versions
vllm
- Versions
- < 0.32.0: Affected
No fix published
vllm PyPI
- Versions
- 0.0.1
- 0.1.0
- 0.1.1
- 0.1.2
- 0.1.3
- 0.1.4
- 0.1.5
- 0.1.6
- 0.1.7
- 0.10.0
- 0.10.1
- 0.10.1.1
- 0.10.2
- 0.11.0
- 0.11.1
- 0.11.2
- 0.12.0
- 0.13.0
- 0.14.0
- 0.14.1
- 0.15.0
- 0.15.1
- 0.16.0
- 0.17.0
- 0.17.1
- 0.18.0
- 0.18.1
- 0.19.0
- 0.19.1
- 0.2.0
- 0.2.1
- 0.2.1.post1
- 0.2.2
- 0.2.3
- 0.2.4
- 0.2.5
- 0.2.6
- 0.2.7
- 0.20.0
- 0.20.1
- 0.20.2
- 0.21.0
- 0.22.0
- 0.22.1
- 0.23.0
- 0.24.0
- 0.25.0
- 0.25.1
- 0.26.0
- 0.27.0
- 0.27.1
- 0.28.0
- 0.29.0
- 0.3.0
- 0.3.1
- 0.3.2
- 0.3.3
- 0.30.0
- 0.31.0
- 0.4.0
- 0.4.0.post1
- 0.4.1
- 0.4.2
- 0.4.3
- 0.5.0
- 0.5.0.post1
- 0.5.1
- 0.5.2
- 0.5.3
- 0.5.3.post1
- 0.5.4
- 0.5.5
- 0.6.0
- 0.6.1
- 0.6.1.post1
- 0.6.1.post2
- 0.6.2
- 0.6.3
- 0.6.3.post1
- 0.6.4
- 0.6.4.post1
- 0.6.5
- 0.6.6
- 0.6.6.post1
- 0.7.0
- 0.7.1
- 0.7.2
- 0.7.3
- 0.8.0
- 0.8.1
- 0.8.2
- 0.8.3
- 0.8.4
- 0.8.5
- 0.8.5.post1
- 0.9.0
- 0.9.0.1
- 0.9.1
- 0.9.2
- Affected ranges
- ECOSYSTEM: < 0.32.0
Update to 0.32.0
Original sources
- https://github.com/vllm-project/vllm/security/advisories/GHSA-8397-8qf6-f2gm
- https://github.com/vllm-project/vllm/pull/60614
- https://github.com/vllm-project/vllm/commit/3d52578e13454de0bb8352cac988347cdcc89928
- https://github.com/vllm-project/vllm/releases/tag/v0.32.0
- https://nvd.nist.gov/vuln/detail/CVE-2026-115913