漏洞标题
在`ParameterizedTruncatedNormal`中对null的引用绑定
漏洞描述信息
在`ParameterizedTruncatedNormal`中对null的引用绑定
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
Reference binding to null in `ParameterizedTruncatedNormal`
漏洞描述信息
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger undefined behavior by binding to null pointer in `tf.raw_ops.ParameterizedTruncatedNormal`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3f6fe4dfef6f57e768260b48166c27d148f3015f/tensorflow/core/kernels/parameterized_truncated_normal_op.cc#L630) does not validate input arguments before accessing the first element of `shape`. If `shape` argument is empty, then `shape_tensor.flat<T>()` is an empty array. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
CVSS信息
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
漏洞类别
使用未经初始化的指针
漏洞标题
Google TensorFlow 代码问题漏洞
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。 TensorFlow 2.4.2版本、2.3.3版本、2.2.3版本、2.1.4版本存在代码问题漏洞，攻击者可利用该漏洞可以通过绑定tf.raw_ops.ParameterizedTruncatedNormal的空指针来触发未定义的行为。
CVSS信息
N/A
漏洞类别
代码问题