vllm-project vLLM up to 0.31.x Phi-4 multimodal audio encoder phi4mm_audio.py MultiHeadedAttention.forward_attention resource consumption

CVSS Meta Temp Score
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CTI Interest Score
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5.3$0-$5k2.00-

Summaryinfo

A vulnerability classified as problematic has been found in vllm-project vLLM up to 0.31.x. This issue affects the function MultiHeadedAttention.forward_attention of the file phi4mm_audio.py of the component Phi-4 multimodal audio encoder. The manipulation leads to resource consumption. This vulnerability is documented as CVE-2026-115913. The attack can be initiated remotely. There is not any exploit available. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability was found in vllm-project vLLM up to 0.31.x and classified as problematic. This issue affects the function MultiHeadedAttention.forward_attention of the file phi4mm_audio.py of the component Phi-4 multimodal audio encoder. The manipulation with an unknown input leads to a resource consumption vulnerability. Using CWE to declare the problem leads to CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. Impacted is availability. The summary by CVE is:

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.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-115913 since 10/23/2026. The exploitation is known to be easy. The attack may be initiated remotely. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

Upgrading to version 0.32.0 eliminates this vulnerability.

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Productinfo

Type

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.3

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 6.5
CNA Vector (GitHub_M): 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Resource consumption
CWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: vLLM 0.32.0

Timelineinfo

10/23/2026 CVE reserved
10/26/2026 +3 days Advisory disclosed
10/26/2026 +0 days VulDB entry created
10/26/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-115913 (🔒)
GCVE (CVE): GCVE-0-2026-115913
GCVE (VulDB): GCVE-100-426551

Entryinfo

Created: 10/26/2026 18:23
Changes: 10/26/2026 18:23 (67)
Complete: 🔍
Cache ID: 216::103

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