CVE-2022-35974

Segfault in `QuantizeDownAndShrinkRange` in TensorFlow

Description

TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. 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 0.15%
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-vgvh-2pf4-jr2x third party advisory patch
https://github.com/tensorflow/tensorflow/commit/73ad1815ebcfeb7c051f9c2f7ab5024380ca8613 third party advisory patch

Frequently Asked Questions

What is the severity of CVE-2022-35974?
CVE-2022-35974 has been scored as a medium severity vulnerability.
How to fix CVE-2022-35974?
To fix CVE-2022-35974, 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-2022-35974 being actively exploited in the wild?
As for now, there are no information to confirm that CVE-2022-35974 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-2022-35974?
CVE-2022-35974 affects tensorflow tensorflow.
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