BIT-TENSORFLOW-2021-37665 Incomplete validation in MKL requantization in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

SUSE CVE-2021-37665

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

Incomplete validation in MKL requantization

Impact Due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays: python import tensorflow as tf tf.rawops.RequantizationRangePerChannel...

GHSA-V82P-HV3V-P6QP Incomplete validation in MKL requantization

Impact Due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays: python import tensorflow as tf tf.rawops.RequantizationRangePerChannel...

CVE-2021-37665

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

CVE-2021-37665

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

PYSEC-2021-776

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

PYSEC-2021-287

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

PYSEC-2021-287

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

PYSEC-2021-578

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

PYSEC-2021-776

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

CVE-2021-37665 Incomplete validation in MKL requantization in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

PT-2021-21782 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: In affected versions, due to incomplete validation in MKL implementation of...

GHSA-3H8M-483J-7XXM Heap out of bounds read in `RequantizationRange`

Impact The implementation of tf.rawops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs: python import tensorflow as tf input = tf.constant1, shape=1, dtype=tf.qint32 inputmax = tf.constant, dtype=tf.float32 inputmin =...

Heap out of bounds read in `RequantizationRange`

Impact The implementation of tf.rawops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs: python import tensorflow as tf input = tf.constant1, shape=1, dtype=tf.qint32 inputmax = tf.constant, dtype=tf.float32 inputmin =...