high
8.8
CWE
787 119 122
Advisory Published
CVE Published
Updated

CVE-2020-15195: Heap buffer overflow in Tensorflow

First published: Fri Sep 25 2020(Updated: )

### Impact The implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L263-L269 It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. ### Patches We have patched the issue in 390611e0d45c5793c7066110af37c8514e6a6c54 and will release a patch release for all affected versions. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Credit: security-advisories@github.com security-advisories@github.com

Affected SoftwareAffected VersionHow to fix
pip/tensorflow-gpu=2.3.0
2.3.1
pip/tensorflow-gpu=2.2.0
2.2.1
pip/tensorflow-gpu>=2.1.0<2.1.2
2.1.2
pip/tensorflow-gpu>=2.0.0<2.0.3
2.0.3
pip/tensorflow-gpu<1.15.4
1.15.4
pip/tensorflow-cpu=2.3.0
2.3.1
pip/tensorflow-cpu=2.2.0
2.2.1
pip/tensorflow-cpu>=2.1.0<2.1.2
2.1.2
pip/tensorflow-cpu>=2.0.0<2.0.3
2.0.3
pip/tensorflow-cpu<1.15.4
1.15.4
pip/tensorflow=2.3.0
2.3.1
pip/tensorflow=2.2.0
2.2.1
pip/tensorflow>=2.1.0<2.1.2
2.1.2
pip/tensorflow>=2.0.0<2.0.3
2.0.3
pip/tensorflow<1.15.4
1.15.4
TensorFlow Keras<1.15.4
TensorFlow Keras>=2.0.0<2.0.3
TensorFlow Keras>=2.1.0<2.1.2
TensorFlow Keras>=2.2.0<2.2.1
TensorFlow Keras>=2.3.0<2.3.1
SUSE openSUSE=15.2

Remedy

https://github.com/tensorflow/tensorflow/commit/390611e0d45c5793c7066110af37c8514e6a6c54

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Reference Links

Frequently Asked Questions

  • What is the severity of CVE-2020-15195?

    CVE-2020-15195 has been rated as a high severity vulnerability due to its potential impact on the application's performance and security.

  • How do I fix CVE-2020-15195?

    To fix CVE-2020-15195, update TensorFlow to version 2.3.1 or later.

  • Which versions of TensorFlow are affected by CVE-2020-15195?

    CVE-2020-15195 affects TensorFlow versions 2.3.0, 2.2.0, 2.1.0, 2.0.0, and all versions up to 1.15.4.

  • Is CVE-2020-15195 related to TensorFlow GPU or CPU?

    CVE-2020-15195 impacts both TensorFlow GPU and TensorFlow CPU versions.

  • Where can I find more information about CVE-2020-15195?

    For more information about CVE-2020-15195, refer to the official TensorFlow GitHub repository and security announcements.

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