SUSE CVE-2021-29527

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in tf.rawops.QuantizedConv2D. This is because the...

SUSE CVE-2022-29201

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments. In this case, references get bound to nullptr for each argument that is empty. Versions 2.9.0,...

GHSA-PQHM-4WVF-2JG8 Missing validation results in undefined behavior in `QuantizedConv2D`

Impact The implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments: python import tensorflow as tf input = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad args mininput = tf.constant, shape=0,...

GHSA-X4G7-FVJJ-PRG8 Division by 0 in `QuantizedConv2D`

Impact An attacker can trigger a division by 0 in tf.rawops.QuantizedConv2D: python import tensorflow as tf input = tf.zeros1, 1, 1, 1, dtype=tf.quint8 filter = tf.constant, shape=1, 0, 1, 1, dtype=tf.quint8 mininput = tf.constant0.0 maxinput = tf.constant0.0001 minfilter = tf.constant0.0 maxfilt...

PYSEC-2021-455

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in tf.rawops.QuantizedConv2D. This is because the...

PYSEC-2021-653

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in tf.rawops.QuantizedConv2D. This is because the...

PYSEC-2021-653

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in tf.rawops.QuantizedConv2D. This is because the...

PYSEC-2021-164

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in tf.rawops.QuantizedConv2D. This is because the...

Google TensorFlow 数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A divide-by-zero error vulnerability exists in the tf.rawops.QuantizedConv2D implementation in TensorFlow versions prior to 2.5.0. No detailed vulnerability details are provided at this time...