CVE-2023-25661

Katalog CVE

CVSS 6.5 · Medium EPSS 0,44%

Kerentanan Improper Input Validation pada google tensorflow. Skor CVSS 3.1 6.5 (Medium) menurut NVD.

Deskripsi (NVD)

TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be constructed with the `Convolution3DTranspose` function. This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services. An attacker must have privilege to provide input to a `Convolution3DTranspose` call. This issue has been patched and users are advised to upgrade to version 2.11.1. There are no known workarounds for this vulnerability.

Rincian

Terbit di NVD

27 Maret 2023

Terakhir diubah

17 Juni 2026

Status NVD

Modified

CVSS 3.1

6.5 (Medium), sumber NVD
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)

0,44% peluang dieksploitasi; lebih tinggi dari 36,1% CVE lain

Produk dan versi terdampak

> Data dari konfigurasi CPE di NVD.

Referensi dan perbaikan

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fxgc-95xx-grvq exploit · patch · advisory vendor
• https://github.com/tensorflow/tensorflow/commit/948fe6369a5711d4b4568ea9bbf6015c6dfb77e2 patch