CVE-2021-41212

Public Exploit
Heap OOB read in `tf.ragged.cross`

Description

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` can trigger a read outside of bounds of heap allocated array. 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

7.1
CVSS
Severity: High
CVSS 3.1 •
CVSS 2.0 •
EPSS 0.02%
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-fr77-rrx3-cp7g exploit third party advisory patch
https://github.com/tensorflow/tensorflow/commit/fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8 third party advisory patch

Frequently Asked Questions

What is the severity of CVE-2021-41212?
CVE-2021-41212 has been scored as a high severity vulnerability.
How to fix CVE-2021-41212?
To fix CVE-2021-41212, 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-2021-41212 being actively exploited in the wild?
It is possible that CVE-2021-41212 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-2021-41212?
CVE-2021-41212 affects tensorflow tensorflow.
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