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Vulnerability DatabaseCVE-2025-55559
CVE-2025-55559:
TensorFlow vulnerability analysis and mitigation
Overview
A vulnerability was discovered in TensorFlow version 2.18.0 (CVE-2025-55559) where a Denial of Service (DoS) condition occurs when the padding parameter is set to 'valid' in tf.keras.layers.Conv2D. The issue was discovered and disclosed in September 2025 (NVD, GitHub Issue).
Technical details
The vulnerability occurs specifically in the tf.keras.layers.Conv2D component when compiled using XLA (TensorFlow's compiler). When the padding parameter is set to 'valid', it results in a runtime error due to receiving a negative dimension size. The issue has been assigned a CVSS v3.1 base score of 7.5 (HIGH) with the vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H (NVD).
Impact
When exploited, this vulnerability leads to a Denial of Service condition by causing a runtime error in the TensorFlow application. The error occurs due to an attempt to subtract 4 from 3 in the convolution operation, resulting in a negative dimension size that crashes the application (GitHub Issue).
Additional resources
Source: This report was generated using AI
Related TensorFlow vulnerabilities:
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