11 matches found
NULL Pointer Dereference
Overview Affected versions of this package are vulnerable to NULL Pointer Dereference in QuantizedMatMulWithBiasAndDequantize with MKL enabled. PoC import tensorflow as tf func = tf.rawops.QuantizedMatMulWithBiasAndDequantize para='a': tf.constant138, dtype=tf.quint8, 'b': tf.constant4,...
AZL-31214 CVE-2023-25670 affecting package tensorflow for versions less than 2.11.1-1
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1...
AZL-35315 CVE-2023-25670 affecting package tensorflow for versions less than 2.11.1-1
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1...
Google TensorFlow 代码问题漏洞
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google, Inc. in the United States. A code issue vulnerability exists in TensorFlow version 2.12 prior to version 2.12.0 and version 2.11 prior to version 2.11.1, which stems from a zero error in MKL-enabled...
CVE-2023-25670
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1...
GHSA-49RQ-HWC3-X77W TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize
Impact NPE in QuantizedMatMulWithBiasAndDequantize with MKL enable python import tensorflow as tf func = tf.rawops.QuantizedMatMulWithBiasAndDequantize para='a': tf.constant138, dtype=tf.quint8, 'b': tf.constant4, dtype=tf.qint8, 'bias': 31.81644630432129, 47.21876525878906, 109.95201110839844,...
PT-2023-20232 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.12.0 TensorFlow versions prior to 2.11.1 Description: TensorFlow is an open source platform for machine learning. The issue is a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix i...
GHSA-689C-R7H2-FV9V TensorFlow vulnerable to segfault in `QuantizedMatMul`
Impact If QuantizedMatMul is given nonscalar input for: - mina - maxa - minb - maxb It gives a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 transposea = False transposeb = False Tactivation = tf.quint8 a = tf.constant7,...
CVE-2022-35973
TensorFlow is an open source platform for machine learning. If QuantizedMatMul is given nonscalar input for: mina, maxa, minb, or maxb It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. T...
PT-2022-23072 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1, 2.8.1, and 2.7.2 Description: The issue arises when QuantizedMatMul is given nonscalar input for: min a, max a, min b, or max b. This can trigger a segfault, leading to a denial o...
Google TensorFlow 输入验证错误漏洞
Google TensorFlow is an end-to-end open source platform for machine learning from Google Inc. Google TensorFlow suffers from an input validation error vulnerability that originates from the fact that if the following non-scalar inputs are provided to QuantizedMatMul: mina, maxa, minb, or maxb, it...