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Out of bounds write in grappler in Tensorflow

High severity GitHub Reviewed Published Nov 18, 2022 in tensorflow/tensorflow • Updated Sep 18, 2023

Package

pip tensorflow (pip)

Affected versions

< 2.8.4
>= 2.9.0, < 2.9.3
>= 2.10.0, < 2.10.1

Patched versions

2.8.4
2.9.3
2.10.1
pip tensorflow-cpu (pip)
< 2.8.4
>= 2.9.0, < 2.9.3
>= 2.10.0, < 2.10.1
2.8.4
2.9.3
2.10.1
pip tensorflow-gpu (pip)
< 2.8.4
>= 2.9.0, < 2.9.3
>= 2.10.0, < 2.10.1
2.8.4
2.9.3
2.10.1

Description

Impact

The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.

Patches

We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7.

The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

References

@pak-laura pak-laura published to tensorflow/tensorflow Nov 18, 2022
Published to the GitHub Advisory Database Nov 21, 2022
Reviewed Nov 21, 2022
Published by the National Vulnerability Database Dec 6, 2022
Last updated Sep 18, 2023

Severity

High
7.1
/ 10

CVSS base metrics

Attack vector
Network
Attack complexity
High
Privileges required
Low
User interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H

Weaknesses

CVE ID

CVE-2022-41902

GHSA ID

GHSA-cg88-rpvp-cjv5

Source code

Credits

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