14 matches found
tf.keras.layers.Conv2D() DoS
The vulnerability of the tf.keras.layers.Conv2D function in TensorFlow’s machine learning system is related to uncontrolled resource consumption when the padding='valid' parameter is used. Exploiting this vulnerability could allow a malicious actor to cause a service failure...
BIT-TENSORFLOW-2025-55559
An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...
EUVD-2025-31122
Malicious code in bioql PyPI...
SUSE CVE-2025-55559
An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...
Allocation of Resources Without Limits or Throttling
Overview tensorflow is a machine learning framework. Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling via the tf.keras.layers.Conv2D function when the padding parameter is set to 'valid'. An attacker can cause the application to crash or...
DEBIAN-CVE-2025-55559
An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...
CVE-2025-55559
An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...
UBUNTU-CVE-2025-55559
An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...
CVE-2025-55559
An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...
CVE-2025-55559: Uncontrolled Resource Consumption
An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...
CVE-2025-55559
An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...
CVE-2025-55559
An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...
PT-2025-39417
Name of the Vulnerable Software and Affected Versions TensorFlow version 2.18.0 Description A Denial of Service DoS issue exists in TensorFlow. Specifically, the problem occurs within the tf.keras.layers.Conv2D layer when the padding parameter is set to 'valid'. This configuration can lead to a...
