CVE-2022-41910

Heap out of bounds read in `QuantizeAndDequantizeV2` in Tensorflow

Description

TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.

Category

4.8
CVSS
Severity: Medium
CVSS 3.1 •
EPSS 0.13%
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-2022-41910?
CVE-2022-41910 has been scored as a medium severity vulnerability.
How to fix CVE-2022-41910?
To fix CVE-2022-41910, 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-2022-41910 being actively exploited in the wild?
As for now, there are no information to confirm that CVE-2022-41910 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-2022-41910?
CVE-2022-41910 affects tensorflow tensorflow.
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