CVE-2022-21730

Public Exploit
Out of bounds read in Tensorflow

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Category

8.1
CVSS
Severity: High
CVSS 3.1 •
CVSS 2.0 •
EPSS 0.28%
Third-Party Advisory github.com Third-Party Advisory github.com Third-Party Advisory github.com
Affected: n/a n/a
Published at:
Updated at:

References

Link Tags
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4 third party advisory patch
https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9 third party advisory patch
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360 third party advisory exploit

Frequently Asked Questions

What is the severity of CVE-2022-21730?
CVE-2022-21730 has been scored as a high severity vulnerability.
How to fix CVE-2022-21730?
To fix CVE-2022-21730, 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-2022-21730 being actively exploited in the wild?
It is possible that CVE-2022-21730 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.
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