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  5. CVE-2022-23594

CVE-2022-23594: Out-of-bounds Write

February 9, 2022 (updated February 11, 2022)

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.

References

  • github.com/advisories/GHSA-9x52-887g-fhc2
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2
  • github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport
  • nvd.nist.gov/vuln/detail/CVE-2022-23594

Code Behaviors & Features

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Affected versions

Version 2.7.0

Fixed versions

  • 2.7.1

Solution

Upgrade to version 2.7.1 or above.

Impact 5.5 MEDIUM

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

Learn more about CVSS

Weakness

  • CWE-125: Out-of-bounds Read
  • CWE-787: Out-of-bounds Write

Source file

pypi/tensorflow-cpu/CVE-2022-23594.yml

Spotted a mistake? Edit the file on GitLab.

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