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CVE-2021-37651: Heap buffer overflow in `FractionalAvgPoolGrad`

August 25, 2021 (updated November 13, 2024)

The implementation for tf.raw_ops.FractionalAvgPoolGrad can be tricked into accessing data outside of bounds of heap allocated buffers:

import tensorflow as tf

tf.raw_ops.FractionalAvgPoolGrad(
orig_input_tensor_shape=[0,1,2,3],
out_backprop = np.array([[[[541],[541]],[[541],[541]]]]),
row_pooling_sequence=[0, 0, 0, 0, 0],
col_pooling_sequence=[-2, 0, 0, 2, 0],
overlapping=True)

References

  • github.com/advisories/GHSA-hpv4-7p9c-mvfr
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-564.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-762.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-273.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/commit/0f931751fb20f565c4e94aa6df58d54a003cdb30
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-hpv4-7p9c-mvfr
  • nvd.nist.gov/vuln/detail/CVE-2021-37651

Code Behaviors & Features

Detect and mitigate CVE-2021-37651 with GitLab Dependency Scanning

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Affected versions

All versions before 2.3.4, all versions starting from 2.4.0 before 2.4.3, all versions starting from 2.5.0 before 2.5.1, version 2.5.0

Fixed versions

  • 2.3.4
  • 2.4.3
  • 2.5.1

Solution

Upgrade to versions 2.3.4, 2.4.3, 2.5.1 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-125: Out-of-bounds Read
  • CWE-787: Out-of-bounds Write

Source file

pypi/tensorflow/CVE-2021-37651.yml

Spotted a mistake? Edit the file on GitLab.

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