CVE-2026-105757

Katalog CVE

CVSS 6.5 · Medium EPSS 0,31%

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. Prior to 0.30.0, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculative-decoding mode can pass a negative token to guidance validation, and the Rust frontend can admit empty structured-output values that the Python frontend rejects, allowing ordinary constrained-generation requests to terminate the shared engine. This issue is fixed in version 0.30.0.

Rincian

Terbit di NVD

5 Oktober 2026

Terakhir diubah

8 Oktober 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
CWE-248: Uncaught Exception
CWE-755: Improper Handling of Exceptional Conditions

EPSS (30 hari)

0,31% peluang dieksploitasi; lebih tinggi dari 22,5% CVE lain

Produk dan versi terdampak

> Data dari konfigurasi CPE di NVD.

Referensi dan perbaikan

• https://github.com/vllm-project/vllm/security/advisories/GHSA-85xf-c7hm-whqw mitigasi · advisory vendor
• https://github.com/vllm-project/vllm/commit/c55e15a44ec4127832d4a86928a356fdd9e68dbd patch
• https://github.com/vllm-project/vllm/pull/51450 issue tracking · patch
• https://github.com/vllm-project/vllm/releases/tag/v0.30.0 release notes