CVE-2022-41894— Google TensorFlow 安全漏洞

Buffer overflow in `CONV_3D_TRANSPOSE` on TFLite

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.

CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H

未进行输入大小检查的缓冲区拷贝(传统缓冲区溢出)

Google TensorFlow 安全漏洞

Google TensorFlow是美国谷歌（Google）公司的一套用于机器学习的端到端开源平台。 Google TensorFlow 2.11 版本，2.10.1 版本之前的 2.10.x 版本，2.9.3 版本之前的 2.9.x 版本，2.8.4 版本之前的 2.8.x 版本存在安全漏洞，该漏洞源于`CONV_3D_TRANSPOSE` TensorFlow Lite 运算符的参考内核在向结果添加偏差时错误地增加了 data_ptr。

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