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Vulnerability record · CVE-2026-90555 · published 12 September 2026

CVE-2026-90555: Vllm vulnerability

Vllm · Vllm

vLLM versions before 0.28.0 fail to validate audio sample rate headers in the transcription endpoint, allowing authenticated clients to bypass duration checks. Attackers can submit forged FLAC headers with inflated sample rates to trigger excessive memory allocation and crash the API server process affecting all tenants.

7.1 CVSS 4.0 High EPSS 0.52% · top 58.2% CWE-409 · CWE-409
7.1CVSS 4.0 base score
0.52%EPSS exploitation probability, 30 days
NoNot in CISA KEV
1Affected product versions listed by NVD
2References
16 Sep 2026Last modified by NVD

Description

vLLM versions before 0.28.0 fail to validate audio sample rate headers in the transcription endpoint, allowing authenticated clients to bypass duration checks. Attackers can submit forged FLAC headers with inflated sample rates to trigger excessive memory allocation and crash the API server process affecting all tenants.

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:

Affected products

1 vulnerable configurations from NVD's CPE data, grouped by vendor and product.

References

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Related vulnerabilities

Same products first, then exploited flaws of the same weakness class.

9.8CVE-2026-25960Vllm server-side request forgery (ssrf) vulnerabilityvLLM is an inference and serving engine for large language models (LLMs). The SSRF protection fix for CVE-2026-24779 add in 0.15.1 can be bypassed in…EPSS 0.72%9.8CVE-2026-22778Vllm sensitive information in log file vulnerabilityvLLM is an inference and serving engine for large language models (LLMs). From 0.8.3 to before 0.14.1, when an invalid image is sent to vLLM's multim…EPSS 3.8%9.8CVE-2026-22807Vllm code injection vulnerabilityvLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.14.0, vLLM loads Hugging …EPSS 0.83%9.8CVE-2025-47277Vllm deserialization of untrusted data vulnerabilityvLLM, an inference and serving engine for large language models (LLMs), has an issue in versions 0.6.5 through 0.8.4 that ONLY impacts environments u…EPSS 0.96%9.8CVE-2025-32444Vllm deserialization of untrusted data vulnerabilityvLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Versions starting from 0.6.5 and prior to 0.8.5, having vLLM in…EPSS 1.8%9.8CVE-2024-11041Vllm deserialization of untrusted data vulnerabilityvllm-project vllm version v0.6.2 contains a vulnerability in the MessageQueue.dequeue() API function. The function uses pickle.loads to parse receive…EPSS 1.6%9.1CVE-2026-48746Vllm http request smuggling vulnerabilityvLLM is an inference and serving engine for large language models (LLMs). From 0.3.0 until 0.22.0, a vulnerability in ASGI web servers and starlette'…EPSS 1.2%9.0CVE-2025-29783Vllm deserialization of untrusted data vulnerabilityvLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization…EPSS 0.73%

Source: NIST National Vulnerability Database (record CVE-2026-90555), CISA KEV, FIRST EPSS (scores of 2026-09-26). This page is refreshed as NVD updates the record.