csirt@kutim:~/threat-intel/cve/CVE-2026-53923

Katalog CVE

CVSS 7.5 · High EPSS 0,48%

Kerentanan Exposure of Sensitive Information to an Unauthorized Actor pada vllm. Skor CVSS 3.1 7.5 (High) menurut NVD.

Deskripsi (NVD)

vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.

Rincian

Terbit di NVD
22 Juni 2026
Terakhir diubah
24 Juni 2026
Status NVD
Analyzed
CVSS 3.1
7.5 (High), sumber NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N · uraikan di kalkulator
Jenis kelemahan (CWE)
CWE-200: Exposure of Sensitive Information to an Unauthorized Actor
CWE-681: Incorrect Conversion between Numeric Types
EPSS (30 hari)
0,48% peluang dieksploitasi; lebih tinggi dari 39,9% CVE lain

Produk dan versi terdampak

VendorProdukVersi terdampak
vllm vllm Versi 0.5.5 hingga sebelum 0.23.1

> Data dari konfigurasi CPE di NVD.

Referensi dan perbaikan

Sumber: NVD · CVE.org · EPSS. Halaman ini disusun otomatis dari data tersebut; pembaruan terakhir 5 Okt 2026, 20:11 WITA. Kalau sistem di Perangkat Daerah memakai produk ini dan butuh bantuan, laporkan lewat kanal pelaporan.