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CVE-2022-35981

MEDIUM

5.9

Description

TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. 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.

CVE Details

CVSS v3.1 Score5.9

SeverityMEDIUM

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

Attack VectorNETWORK

ComplexityHIGH

Privileges RequiredNONE

User InteractionNONE

Published9/16/2022

Last Modified11/21/2024

Sourcenvd

Honeypot Sightings0

Affected Products

google:tensorflow

Weaknesses (CWE)

CWE-617

References

https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw(security-advisories@github.com)

https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4(af854a3a-2127-422b-91ae-364da2661108)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw(af854a3a-2127-422b-91ae-364da2661108)

IOC Correlations

No correlations recorded

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