漏洞标题
在TensorFlow中的`ResourceScatterUpdate`中的堆OOB
漏洞描述信息
TensorFlow中`ResourceScatterUpdate`中的堆溢出（Heap OOB）
CVSS信息
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
漏洞类别
N/A
漏洞标题
Heap OOB in `ResourceScatterUpdate` in TensorFlow
漏洞描述信息
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a read from outside of bounds of heap allocated data by sending invalid arguments to `tf.raw_ops.ResourceScatterUpdate`. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/resource_variable_ops.cc#L919-L923) has an incomplete validation of the relationship between the shapes of `indices` and `updates`: instead of checking that the shape of `indices` is a prefix of the shape of `updates` (so that broadcasting can happen), code only checks that the number of elements in these two tensors are in a divisibility relationship. We have patched the issue in GitHub commit 01cff3f986259d661103412a20745928c727326f. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
CVSS信息
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:H
漏洞类别
跨界内存读
漏洞标题
Google TensorFlow 缓冲区错误漏洞
漏洞描述信息
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存在缓冲区错误漏洞，该漏洞源于在受影响的版本中，攻击者可以通过向tf.raw_ops.resourcespatterupdate发送无效参数，触发从堆分配的边界外数据读取。
CVSS信息
N/A
漏洞类别
缓冲区错误