CVE-2023-27579
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
0.0021
42.9th percentile
Risk Priority
15
60% EPSS · 20% KEV · 20% CVSS
Summary
CVE-2023-27579 is a high-severity Incorrect Comparison (CWE-697) vulnerability in Google Tensorflow. Its CVSS base score is 7.5 (High).
Operationally, ranked at the 42.9th 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
- 🇪🇺 ENISA EUVD: EUVD-2023-0889
Vulnerability details
TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit…
more
on TensorFlow 2.11.1.
- CWE(s)
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, 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.