CVE-2022-35993

`CHECK` fail in `SetSize` in TensorFlow

Description

TensorFlow is an open source platform for machine learning. When `SetSize` receives an input `set_shape` that is not a 1D tensor, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit cf70b79d2662c0d3c6af74583641e345fc939467. 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 0.15%
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-wq6q-6m32-9rv9 third party advisory
https://github.com/tensorflow/tensorflow/commit/cf70b79d2662c0d3c6af74583641e345fc939467 third party advisory patch

Frequently Asked Questions

What is the severity of CVE-2022-35993?
CVE-2022-35993 has been scored as a medium severity vulnerability.
How to fix CVE-2022-35993?
To fix CVE-2022-35993, 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-2022-35993 being actively exploited in the wild?
As for now, there are no information to confirm that CVE-2022-35993 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-2022-35993?
CVE-2022-35993 affects tensorflow tensorflow.
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