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CVE-2026-90554— vLLM before 0.28.0 Denial of Service via audio extraction

Quick assessment

Affected
vllm-project vLLM
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.

vLLM是vLLM团队开源的一个适用于 LLM 的高吞吐量和内存高效推理和服务引擎。 vLLM 0.10.2版本至0.28.0之前版本存在资源管理错误漏洞，该漏洞源于从视频输入提取音频时未限制音频解码大小或时长，_extract_audio_from_videos调用load_audio_pyav时未传入max_duration_s和max_decode_bytes参数，攻击者提供小型高压缩视频可导致服务器在音频解码期间分配大量内存，造成拒绝服务。

CVSS 6.2 · Medium EPSS 0.20% · P10

Possible ATT&CK Techniques 1 AI

T1499 · Endpoint Denial of Service

Affected Version Matrix 2

VendorProduct Version RangeStatus
vllm-project vLLM 0.10.2< 0.28.0 affected
0.28.0 unaffected
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I. Basic Information for CVE-2026-90554

Vulnerability Information
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Vulnerability Title
vLLM before 0.28.0 Denial of Service via audio extraction
Source: CVE Program / CVE List V5
Vulnerability Description
vLLM versions >=0.10.2 and <0.28.0 do not apply any audio decode-size or duration limit when extracting audio from video input for NanoNemotronVL models. In nano_nemotron_vl.py, _extract_audio_from_videos calls load_audio_pyav(BytesIO(video_bytes)) without the max_duration_s or max_decode_bytes parameters, so neither VLLM_MAX_AUDIO_DECODE_DURATION_S nor VLLM_MAX_AUDIO_DECODE_BYTES is enforced (unlike the direct audio upload path in AudioMediaIO). When a NanoNemotronVL model is served with use_audio_in_video=True, an attacker who supplies a small, highly compressed video as multimodal input can force the server to allocate gigabytes of memory during audio decoding, resulting in a denial of service. Fixed in vLLM 0.28.0.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
未加控制的资源消耗(资源穷尽)
Source: CVE Program / CVE List V5
Vulnerability Title
vLLM 资源管理错误漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
vLLM是vLLM团队开源的一个适用于 LLM 的高吞吐量和内存高效推理和服务引擎。 vLLM 0.10.2版本至0.28.0之前版本存在资源管理错误漏洞，该漏洞源于从视频输入提取音频时未限制音频解码大小或时长，_extract_audio_from_videos调用load_audio_pyav时未传入max_duration_s和max_decode_bytes参数，攻击者提供小型高压缩视频可导致服务器在音频解码期间分配大量内存，造成拒绝服务。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)

Affected Products

Vendor Product Affected Versions CPE Subscribe
vllm-project vLLM 0.10.2 ~ 0.28.0 -

II. Public POCs for CVE-2026-90554

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III. Intelligence Information for CVE-2026-90554

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Vendor Advisories for CVE-2026-90554 (2)

Same Patch Batch · vllm-project · 2026-09-12 · 3 CVEs total

CVE-2026-90553 7.8 HIGH vLLM before 0.28.0 Remote Code Execution via LlavaOnevision2 processor
CVE-2026-90555 6.5 MEDIUM vLLM before 0.28.0 Denial of Service via Audio Header

IV. Related Vulnerabilities

Same product: vLLM
Same vendor: vllm-project
Same weakness: CWE-400