CVE-2021-41196

Public Exploit
Crash in `max_pool3d` when size argument is 0 or negative

Description

TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Category

5.5
CVSS
Severity: Medium
CVSS 3.1 •
CVSS 2.0 •
EPSS 0.05%
Third-Party Advisory github.com 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-m539-j985-hcr8 third party advisory exploit
https://github.com/tensorflow/tensorflow/issues/51936 third party advisory exploit
https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8b third party advisory patch

Frequently Asked Questions

What is the severity of CVE-2021-41196?
CVE-2021-41196 has been scored as a medium severity vulnerability.
How to fix CVE-2021-41196?
To fix CVE-2021-41196, 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-2021-41196 being actively exploited in the wild?
It is possible that CVE-2021-41196 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-2021-41196?
CVE-2021-41196 affects tensorflow tensorflow.
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