CVE-2022-35981

`CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow

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.

Category

5.9
CVSS
Severity: Medium
CVSS 3.1 •
EPSS 0.16%
Third-Party Advisory github.com Third-Party Advisory github.com
Affected: tensorflow tensorflow
Published at:
Updated at:

References

Link Tags
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw third party advisory
https://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4 third party advisory patch

Frequently Asked Questions

What is the severity of CVE-2022-35981?
CVE-2022-35981 has been scored as a medium severity vulnerability.
How to fix CVE-2022-35981?
To fix CVE-2022-35981, make sure you are using an up-to-date version of the affected component(s) by checking the vendor release notes. As for now, there are no other specific guidelines available.
Is CVE-2022-35981 being actively exploited in the wild?
As for now, there are no information to confirm that CVE-2022-35981 is being actively exploited. According to its EPSS score, there is a ~0% probability that this vulnerability will be exploited by malicious actors in the next 30 days.
What software or system is affected by CVE-2022-35981?
CVE-2022-35981 affects tensorflow tensorflow.
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