Cyber Resilience

CVE-2023-25667

Medium

Published: 25 March 2023

Published
25 March 2023
Modified
21 November 2024
KEV Added
—
Patch
—
CVSS Score v3.1 6.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
EPSS Score 0.0021 43.7th percentile
Risk Priority 13 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-25667 is a medium-severity Integer Overflow or Wraparound (CWE-190) vulnerability in Google Tensorflow. Its CVSS base score is 6.5 (Medium).

Operationally, ranked at the 43.7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as Deep Learning Frameworks.

EU & UK References

Vulnerability details

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when `2^31 <= num_frames * height * width * channels < 2^32`, for example Full HD screencast of at least 346 frames.…

more

A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

CWE(s)
CWE-190

AI Security AnalysisAI

AI Category
Deep Learning Frameworks
Risk Domain
N/A
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: tensorflow, machine learning, tensorflow

Related Threats

Affected Assets

google
tensorflow
≤ 2.12.0

Mitigating Controls

No mitigating controls mapped yet. The per-CVE control annotator has not reached this CVE.

References