Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. Lack of checking that shape of the input or the target shape have both a non-zero number of elements causes an integral division by 0 exception...

GHSA-V6R6-84GR-92RM Heap buffer overflow in `AvgPool3DGrad`

Impact The implementation of tf.rawops.AvgPool3DGrad is vulnerable to a heap buffer overflow: python import tensorflow as tf originputshape = tf.constant10, 6, 3, 7, 7, shape=5, dtype=tf.int32 grad = tf.constant0.01, 0, 0, shape=3, 1, 1, 1, 1, dtype=tf.float32 ksize = 1, 1, 1, 1, 1 strides = 1, 1...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists due to a heap buffer overflow because the system does not validate the originputshape and grad tensors...

PYSEC-2021-505

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.AvgPool3DGrad is vulnerable to a heap buffer overflow. The...

PYSEC-2021-197

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in tf.rawops.RaggedTensorToTensor. This is because the...

PT-2021-18328 · 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: The implementation of tf.raw...

GHSA-JC87-6VPP-7FF3 Heap buffer overflow in Tensorflow

Impact The SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has the same shape as the values one. The values in these tensors are always accessed in parallel:...