CVE-2023-27579

TensorFlow has Floating Point Exception in TFLite in conv kernel

Description

TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.

Category

7.5
CVSS
Severity: High
CVSS 3.1 •
EPSS 0.13%
Vendor Advisory github.com
Affected: tensorflow tensorflow
Published at:
Updated at:

References

Link Tags
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5w96-866f-6rm8 patch vendor advisory
https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa patch

Frequently Asked Questions

What is the severity of CVE-2023-27579?
CVE-2023-27579 has been scored as a high severity vulnerability.
How to fix CVE-2023-27579?
To fix CVE-2023-27579, 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-2023-27579 being actively exploited in the wild?
As for now, there are no information to confirm that CVE-2023-27579 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-2023-27579?
CVE-2023-27579 affects tensorflow tensorflow.
This platform uses data from the NIST NVD, MITRE CVE, MITRE CWE, First.org and CISA KEV but is not endorsed or certified by these entities. CVE is a registred trademark of the MITRE Corporation and the authoritative source of CVE content is MITRE's CVE web site. CWE is a registred trademark of the MITRE Corporation and the authoritative source of CWE content is MITRE's CWE web site.
© 2025 Under My Watch. All Rights Reserved.