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
- Tensorflow — versions < 2.11.1
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.