CVE-2022-41894

描述

TensorFlow is an open source platform for machine learning. The reference kernel of the `CONV_3D_TRANSPOSE` TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result. Instead of `data_ptr += num_channels;` it should be `data_ptr += output_num_channels;` as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels > output_num_channels. An attacker can craft a model with a specific number of input channels. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter. We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

如何修補 CVE-2022-41894

要修補 CVE-2022-41894,請將受影響套件升級到下列已修補版本。

—升級至 2.8.4 或更新版本

CVE-2022-41894 正在被利用嗎?

低 — EPSS 為 0.5%,目前沒有觀察到大規模利用活動。

受影響套件(1)

from 0, < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1

CVSS 分數

來源	版本	嚴重程度	向量
osv	CVSS 3.1	HIGH8.1	CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

描述

如何修補 CVE-2022-41894

CVE-2022-41894 正在被利用嗎?

受影響套件(1)

CVSS 分數

參考連結(4)