CWE
476 908
Advisory Published
Updated

CVE-2022-29205: Segfault due to missing support for quantized types 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, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. 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
TensorFlow Keras<2.6.4
TensorFlow Keras>=2.7.0<2.7.2
TensorFlow Keras=2.7.0-rc0
TensorFlow Keras=2.7.0-rc1
TensorFlow Keras=2.8.0
TensorFlow Keras=2.8.0-rc0
TensorFlow Keras=2.8.0-rc1
TensorFlow Keras=2.9.0-rc0
TensorFlow Keras=2.9.0-rc1

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Frequently Asked Questions

  • What is the severity of CVE-2022-29205?

    CVE-2022-29205 has a medium severity rating due to its potential for causing segmentation faults and denial of service.

  • How do I fix CVE-2022-29205?

    To fix CVE-2022-29205, upgrade TensorFlow to versions 2.9.0 or later, or to 2.8.1, 2.7.2, or 2.6.4.

  • What versions of TensorFlow are affected by CVE-2022-29205?

    CVE-2022-29205 affects TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4.

  • What causes CVE-2022-29205 in TensorFlow?

    CVE-2022-29205 is caused by the calling of `tf.compat.v1.*` operations that do not support quantized types.

  • Is CVE-2022-29205 remote exploitable?

    CVE-2022-29205 is not directly remote exploitable as it requires specifically crafted input to trigger a segmentation fault.

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