CVE-2021-29580

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.FractionalMaxPoolGrad triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a CHECK condition becomes false and aborts...

CVE-2021-29547

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a segfault and denial of service via accessing data outside of bounds in tf.rawops.QuantizedBatchNormWithGlobalNormalization. This is because the...

PT-2021-18298 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: An attacker can cause a segfault and denia...

PT-2021-18359 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.1 and earlier TensorFlow versions 2.3.2 and earlier TensorFlow versions 2.2.2 and earlier TensorFlow versions 2.1.3 and earlier Description: Due to a lack of validation in tf.raw...

CVE-2017-12852

The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack...

PT-2017-12727

Name of the Vulnerable Software and Affected Versions Numpy versions 1.13.1 and earlier Description The issue is related to missing input validation in the numpy.pad function. This can cause an infinite loop when an empty list or ndarray is used, potentially allowing attackers to conduct a Denial...