CVE-2023-25673

CVE-2023-25673 is a high-severity vulnerability in Google Tensorflow with a CVSS 3.x base score of 7.5. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-697.

Key facts

Description

TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a Floating Point Exception in TensorListSplit with XLA. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Frequently asked questions

What is CVE-2023-25673?
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a Floating Point Exception in TensorListSplit with XLA. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
How severe is CVE-2023-25673?
CVE-2023-25673 has a CVSS 3.x base score of 7.5, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability high.
Is CVE-2023-25673 being actively exploited?
It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (31st percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2023-25673?
CVE-2023-25673 affects Google Tensorflow. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2023-25673?
Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
When was CVE-2023-25673 published?
CVE-2023-25673 was published on 2023-03-25 and last updated on 2026-06-17.

References

Affected products (1)

More vulnerabilities in Google Tensorflow

All CVEs affecting Google Tensorflow →

Other CWE-697 vulnerabilities

Browse all CWE-697 vulnerabilities →