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  5. CVE-2022-21737

CVE-2022-21737: Assertion failure based denial of service in Tensorflow

February 9, 2022 (updated November 13, 2024)

The implementation of *Bincount operations allows malicious users to cause denial of service by passing in arguments which would trigger a CHECK-fail:

import tensorflow as tf

tf.raw_ops.DenseBincount(
input=[[0], [1], [2]],
size=[1],
weights=[3,2,1],
binary_output=False)

There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in CHECK failures later when the output tensors get allocated.

References

  • github.com/advisories/GHSA-f2vv-v9cg-qhh7
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-61.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-116.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cc
  • github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-f2vv-v9cg-qhh7
  • nvd.nist.gov/vuln/detail/CVE-2022-21737

Code Behaviors & Features

Detect and mitigate CVE-2022-21737 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-617: Reachable Assertion
  • CWE-754: Improper Check for Unusual or Exceptional Conditions

Source file

pypi/tensorflow/CVE-2022-21737.yml

Spotted a mistake? Edit the file on GitLab.

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