CVE-2023-25801 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.11.1

Severity

Level: High

CVSS v3.1: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H

CVSS v4.0: CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:L/VI:H/VA:H/SC:N/SI:N/SA:N

EPSS: 0.00075 pctl0.23246

Details

TensorFlow has double free in Fractional(Max/Avg)Pool ### 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](https://github.com/tensorflow/tensorflow/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](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 was reported by [dmc1778](https://github.com/dmc1778), of [nimashiri2012@gmail.com](mailto:nimashiri2012@gmail.com).

Metadata

Created: 2023-03-24T21:53:49Z
Modified: 2023-03-27T21:23:48Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-f49c-87jh-g47q/GHSA-f49c-87jh-g47q.json
CWE IDs: ["CWE-415"]
Alternative ID: GHSA-f49c-87jh-g47q
Finding: F138
Auto approve: 1