vllm-project vLLM up to 0.28.x IAMF parser /v1/audio/transcriptions av.open heap-based overflow

Summaryinfo

A vulnerability described as problematic has been identified in vllm-project vLLM up to 0.28.x. This affects the function av.open of the file /v1/audio/transcriptions of the component IAMF parser. Executing a manipulation can lead to heap-based overflow. This vulnerability is registered as CVE-2026-109311. It is possible to launch the attack remotely. No exploit is available. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability has been found in vllm-project vLLM up to 0.28.x and classified as problematic. This vulnerability affects the function av.open of the file /v1/audio/transcriptions of the component IAMF parser. The manipulation with an unknown input leads to a heap-based overflow vulnerability. The CWE definition for the vulnerability is CWE-122. A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc(). As an impact it is known to affect availability. CVE summarizes:

vLLM before 0.29.0 passes uploaded audio to the PyAV/FFmpeg av.open() fallback with only a file-size check, exposing FFmpeg's IAMF parser heap overflow. Authenticated remote attackers can repeatedly upload malformed IAMF containers to /v1/audio/transcriptions, corrupting the heap and crashing the API process.

The advisory is shared for download at github.com. This vulnerability was named CVE-2026-109311 since 10/12/2026. The exploitation appears to be easy. The attack can be initiated remotely. There are known technical details, but no exploit is available.

Upgrading to version 0.29.0 eliminates this vulnerability.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Type

• Project Management Software

Vendor

• vllm-project

Name

• vLLM

Version

• 0.1
• 0.2
• 0.3
• 0.4
• 0.5
• 0.6
• 0.7
• 0.8
• 0.9
• 0.10
• 0.11
• 0.12
• 0.13
• 0.14
• 0.15
• 0.16
• 0.17
• 0.18
• 0.19
• 0.20
• 0.21
• 0.22
• 0.23
• 0.24
• 0.25
• 0.26
• 0.27
• 0.28

Website

• Product: https://github.com/vllm-project/vllm/

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