CVE-2023-25668

Public Exploit
TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation

Description

TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1.

Category

9.8
CVSS
Severity: Critical
CVSS 3.1 •
EPSS 2.87% Top 15%
Affected: tensorflow tensorflow
Published at:
Updated at:

References

Link Tags
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gw97-ff7c-9v96 patch
https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb patch exploit

Frequently Asked Questions

What is the severity of CVE-2023-25668?
CVE-2023-25668 has been scored as a critical severity vulnerability.
How to fix CVE-2023-25668?
To fix CVE-2023-25668, 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-2023-25668 being actively exploited in the wild?
It is possible that CVE-2023-25668 is being exploited or will be exploited in a near future based on public information. According to its EPSS score, there is a ~3% probability that this vulnerability will be exploited by malicious actors in the next 30 days.
What software or system is affected by CVE-2023-25668?
CVE-2023-25668 affects tensorflow tensorflow.
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