CVE-2025-48944

Katalog CVE

CVSS 6.5 · Medium EPSS 0,62%

Kerentanan Improper Input Validation pada vllm. Skor CVSS 3.1 6.5 (Medium) menurut github.com.

Deskripsi (NVD)

vLLM is an inference and serving engine for large language models (LLMs). In version 0.8.0 up to but excluding 0.9.0, the vLLM backend used with the /v1/chat/completions OpenAPI endpoint fails to validate unexpected or malformed input in the "pattern" and "type" fields when the tools functionality is invoked. These inputs are not validated before being compiled or parsed, causing a crash of the inference worker with a single request. The worker will remain down until it is restarted. Version 0.9.0 fixes the issue.

Rincian

Terbit di NVD

30 Mei 2025

Terakhir diubah

17 Juni 2026

Status NVD

Analyzed

CVSS 3.1

6.5 (Medium), sumber github.com
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H · uraikan di kalkulator

Jenis kelemahan (CWE)

CWE-20: Improper Input Validation

EPSS (30 hari)

0,62% peluang dieksploitasi; lebih tinggi dari 48,0% CVE lain

Produk dan versi terdampak

> Data dari konfigurasi CPE di NVD.

Referensi dan perbaikan

• https://github.com/vllm-project/vllm/pull/17623 issue tracking · advisory vendor
• https://github.com/vllm-project/vllm/security/advisories/GHSA-vrq3-r879-7m65 exploit · advisory vendor