CVE-2023-25661
Denial of Service in TensorFlow
描述
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.
如何修補 CVE-2023-25661
要修補 CVE-2023-25661,請將受影響套件升級到下列已修補版本。
- —升級至 2.11.1 或更新版本
- —升級至 2.11.1 或更新版本
- —升級至 2.11.1 或更新版本
- —升級至 2.11.1 或更新版本
- —升級至 2.11.1 或更新版本
CVE-2023-25661 正在被利用嗎?
低 — EPSS 為 0.4%,目前沒有觀察到大規模利用活動。
受影響套件(5)
- from 0, < 2.11.1
- from 0, < 2.11.1
- from 0, < 2.11.1
- from 0, < 2.11.1
- from 0, < 2.11.1
CVSS 分數
| 來源 | 版本 | 嚴重程度 | 向量 |
|---|---|---|---|
| osv | CVSS 3.1 | MEDIUM6.5 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |