CVE-2021-41206

Incomplete validation of shapes in multiple TF ops

Description

TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits 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

7.0
CVSS
Severity: High
CVSS 3.1 •
CVSS 2.0 •
EPSS 0.01%
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Affected: tensorflow tensorflow
Published at:
Updated at:

References

Frequently Asked Questions

What is the severity of CVE-2021-41206?
CVE-2021-41206 has been scored as a high severity vulnerability.
How to fix CVE-2021-41206?
To fix CVE-2021-41206, 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-2021-41206 being actively exploited in the wild?
As for now, there are no information to confirm that CVE-2021-41206 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-2021-41206?
CVE-2021-41206 affects tensorflow tensorflow.
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