Improper input validation in Tensorflow

CVE-2023-25661

TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be const…

Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)

EPSS: 0.002 (37.1th percentile) — read the EPSS interpretation.

CVSS v3 metric

CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.

Affected products

Weakness classification (CWE)

Public proof-of-concept exploits

References

Frequently asked questions

What is CVE-2023-25661?
CVE-2023-25661 is a medium-severity vulnerability in Tensorflow, classified under Improper Input Validation. CVSS score: 6.5/10. Published 2023-03-27.
How severe is CVE-2023-25661?
Medium severity. CVSS v3 base score is 6.5 out of 10.
Is CVE-2023-25661 known to be exploited?
2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.