Cyber Resilience

CVE-2023-25671

High

Published: 25 March 2023

Published
25 March 2023
Modified
21 November 2024
KEV Added
—
Patch
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CVSS Score v3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.0032 55.3th percentile
Risk Priority 15 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-25671 is a high-severity Out-of-bounds Write (CWE-787) vulnerability in Google Tensorflow. Its CVSS base score is 7.5 (High).

Operationally, ranked in the top 44.7% of CVEs by exploit likelihood; 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. There is out-of-bounds access due to mismatched integer type sizes. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

CWE(s)
CWE-787

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

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

SI-16 Memory Protection
addresses: CWE-787

Out-of-bounds writes that corrupt control flow or inject shellcode are rendered non-executable by the same memory protections.

References