CVE-2022-41911

Invalid char to bool conversion when printing a tensor in Tensorflow

Description

TensorFlow is an open source platform for machine learning. When printing a tensor, we get it's data as a `const char*` array (since that's the underlying storage) and then we typecast it to the element type. However, conversions from `char` to `bool` are undefined if the `char` is not `0` or `1`, so sanitizers/fuzzers will crash. The issue has been patched in GitHub commit `1be74370327`. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1, TensorFlow 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 0.06%
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-2022-41911?
CVE-2022-41911 has been scored as a medium severity vulnerability.
How to fix CVE-2022-41911?
To fix CVE-2022-41911, 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-2022-41911 being actively exploited in the wild?
As for now, there are no information to confirm that CVE-2022-41911 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-2022-41911?
CVE-2022-41911 affects tensorflow tensorflow.
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