CWE
20
Advisory Published
Updated

CVE-2022-29192: Missing validation crashes `QuantizeAndDequantizeV4Grad` in TensorFlow

First published: Fri May 20 2022(Updated: )

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Credit: security-advisories@github.com

Affected SoftwareAffected VersionHow to fix
Google TensorFlow<2.6.4
Google TensorFlow>=2.7.0<2.7.2
Google TensorFlow>=2.8.0<2.8.1
Google TensorFlow=2.9.0-rc0
Google TensorFlow=2.9.0-rc1
Google TensorFlow=2.9.0-rc2

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Frequently Asked Questions

  • What is the severity of CVE-2022-29192?

    CVE-2022-29192 is classified as a medium severity vulnerability due to its potential to cause application crashes.

  • How do I fix CVE-2022-29192?

    To fix CVE-2022-29192, upgrade TensorFlow to version 2.9.0 or later, or to version 2.8.1, 2.7.2, or 2.6.4.

  • What versions of TensorFlow are affected by CVE-2022-29192?

    CVE-2022-29192 affects TensorFlow versions prior to 2.6.4, 2.7.2, 2.8.1, and any version of 2.9.0 prior to its release candidates.

  • What kind of attack vector does CVE-2022-29192 present?

    CVE-2022-29192 allows an attacker to exploit the vulnerability by passing invalid input arguments that cause a CHECK failure.

  • Is CVE-2022-29192 related to data handling in TensorFlow?

    Yes, CVE-2022-29192 is related to how TensorFlow handles input validation for the QuantizeAndDequantizeV4Grad operation.

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