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  5. CVE-2022-36000

CVE-2022-36000: TensorFlow vulnerable to null dereference on MLIR on empty function attributes

September 16, 2022 (updated September 20, 2022)

TensorFlow is an open source platform for machine learning. When mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

References

  • github.com/advisories/GHSA-fqxc-pvf8-2w9v
  • github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0
  • github.com/tensorflow/tensorflow/releases/tag/v2.10.0
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-fqxc-pvf8-2w9v

Code Behaviors & Features

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Affected versions

All versions before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1, version 2.10

Fixed versions

  • 2.7.2
  • 2.8.1
  • 2.9.1

Solution

Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.

Impact 7.5 HIGH

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

Learn more about CVSS

Weakness

  • CWE-476: NULL Pointer Dereference

Source file

pypi/tensorflow/CVE-2022-36000.yml

Spotted a mistake? Edit the file on GitLab.

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