CVE-2022-35986

Segfault in `RaggedBincount` in TensorFlow

Description

TensorFlow is an open source platform for machine learning. If `RaggedBincount` is given an empty input tensor `splits`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Category

5.9
CVSS
Severity: Medium
CVSS 3.1 •
EPSS 0.24%
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-wr9v-g9vf-c74v third party advisory
https://github.com/tensorflow/tensorflow/commit/7a4591fd4f065f4fa903593bc39b2f79530a74b8 third party advisory patch

Frequently Asked Questions

What is the severity of CVE-2022-35986?
CVE-2022-35986 has been scored as a medium severity vulnerability.
How to fix CVE-2022-35986?
To fix CVE-2022-35986, 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-2022-35986 being actively exploited in the wild?
As for now, there are no information to confirm that CVE-2022-35986 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-2022-35986?
CVE-2022-35986 affects tensorflow tensorflow.
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