CVE-2020-15265— Google TensorFlow 缓冲区错误漏洞

Segfault in Tensorflow

In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

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

跨界内存读

Google TensorFlow 缓冲区错误漏洞

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。 Tensorflow 2.4.0之前版本存在安全漏洞，攻击者可利用该漏洞可以将一个无效的axis值传递给tf.quantization。数字转换和dequantize。这将导致在c++内核实现中访问一个超出输入张量秩的维度。但是dim size只执行DCHECK来验证参数，然后使用它来访问数组中相应的元素。因为在正常的构建中，DCHECK 类宏是无操作的，这会导致segfault和访问数组边界之外。

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