CVE-2023-25661: TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a
Summary
TensorFlow (an open-source machine learning framework) versions before 2.11.1 have a bug where a malicious invalid input can crash a model and trigger a denial of service attack (making a service unavailable by overwhelming it). The vulnerability exists in the Convolution3DTranspose function, which is commonly used in modern neural networks, and could be exploited if an attacker can send input to this function.
Solution / Mitigation
Upgrade to TensorFlow version 2.11.1 or later. The source states there are no known workarounds for this vulnerability.
Vulnerability Details
6.5(medium)
EPSS: 0.1%
Classification
Taxonomy References
Affected Vendors
Related Issues
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2023-25661
First tracked: February 15, 2026 at 08:42 PM
Classified by LLM (prompt v3) · confidence: 95%