CVE-2021-37660

Division by 0 in inplace operations in TensorFlow

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/inplace_ops.cc#L283) has a logic error: it should skip processing if `x` and `v` are empty but the code uses `||` instead of `&&`. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Category

5.5
CVSS
Severity: Medium
CVSS 3.1 •
CVSS 2.0 •
EPSS 0.03%
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-cm5x-837x-jf3c third party advisory
https://github.com/tensorflow/tensorflow/commit/e86605c0a336c088b638da02135ea6f9f6753618 third party advisory patch

Frequently Asked Questions

What is the severity of CVE-2021-37660?
CVE-2021-37660 has been scored as a medium severity vulnerability.
How to fix CVE-2021-37660?
To fix CVE-2021-37660, 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-2021-37660 being actively exploited in the wild?
As for now, there are no information to confirm that CVE-2021-37660 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-2021-37660?
CVE-2021-37660 affects tensorflow tensorflow.
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