PT-2026-53619

Impact Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or RCE. When axis is larger than the dim of input, c-Diminput,axis goes out of bound. Same problem occurs in the QuantizeAndDequantizeV2/V3/V4/V4Gra...

PT-2026-53617

Impact Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or RCE. When axis is larger than the dim of input, c-Diminput,axis goes out of bound. Same problem occurs in the QuantizeAndDequantizeV2/V3/V4/V4Gra...

SUSE CVE-2022-21727

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of dimensions of the...

GHSA-23HM-7W47-XW72 Out of bounds read in Tensorflow

Impact The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses: python import tensorflow as tf @tf.function def test: y = tf.rawops.Dequantize input=tf.constant1,1,dtype=tf.qint32, minrange=1.0, maxrange=10.0, mode='MINCOMBINED',...

PYSEC-2022-106

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of dimensions of the...