CVE-2022-41897

Public Exploit
`FractionalMaxPoolGrad` Heap out of bounds read in Tensorflow

Description

TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Category

4.8
CVSS
Severity: Medium
CVSS 3.1 •
EPSS 0.08%
Third-Party Advisory github.com Third-Party Advisory github.com Third-Party Advisory github.com
Affected: tensorflow tensorflow
Published at:
Updated at:

References

Frequently Asked Questions

What is the severity of CVE-2022-41897?
CVE-2022-41897 has been scored as a medium severity vulnerability.
How to fix CVE-2022-41897?
To fix CVE-2022-41897, 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-2022-41897 being actively exploited in the wild?
It is possible that CVE-2022-41897 is being exploited or will be exploited in a near future based on public information. 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-2022-41897?
CVE-2022-41897 affects tensorflow tensorflow.
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