GHSA-9CR2-8PWR-FHFQ TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`

Impact If QuantizeAndDequantizeV3 is given a nonscalar numbits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf signedinput = True rangegiven = False narrowrange = False axis = -1 input = tf.constant-3.5, shape=1,...

Google TensorFlow 安全漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google, Inc. in the United States. A security vulnerability exists in Google TensorFlow, which stems from the fact that if QuantizeAndDequantizeV3 is given a non-scalar numbits input tensor, it will cause t...

PT-2022-23125

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue arises when the QuantizeAndDequantizeV3 function is given a nonscalar n...

GHSA-H2WQ-PRV9-2F56 Missing validation crashes `QuantizeAndDequantizeV4Grad`

Impact The implementation of tf.rawops.QuantizeAndDequantizeV4Grad does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf tf.rawops.QuantizeAndDequantizeV4Grad gradients=tf.constant1,...

CVE-2022-29192

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.QuantizeAndDequantizeV4Grad does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service...

Google TensorFlow输入验证错误漏洞

Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable to an input validation error in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, which originates in tf.rawops QuantizeAndDequantizeV4Grad does not fully validate the input parameters and c...

PT-2022-19444

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description The implementation of tf.raw ops.QuantizeAndDequantizeV4Grad does not fully validate the...

DEBIAN-CVE-2021-34085

Read access violation in the IIIdequantizesample function in mpglibDBL/layer3.c in mp3gain through 1.5.2-r2 allows remote attackers to cause a denial of service application crash or possibly have unspecified other impact, a different vulnerability than CVE-2017-9872. CVE-2017-14409, and...

Google TensorFlow buffer overflow vulnerability (CNVD-2022-11509)

Google TensorFlow is an end-to-end open source platform for machine learning from Google Google. Google Tensorflow has a buffer overflow vulnerability that stems from the fact that Dequantize's implementation does not fully validate the value of axis, which can be exploited by an attacker to caus...

Integer overflow in Tensorflow

Impact The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness: python import tensorflow as tf input = tf.constant1,1,dtype=tf.qint32 @tf.function def test: y = tf.rawops.Dequantize input=input, minrange=1.0, maxrange=10.0, mode='MINCOMBINED',...

GHSA-C6FH-56W7-FVJW Integer overflow in Tensorflow

Impact The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness: python import tensorflow as tf input = tf.constant1,1,dtype=tf.qint32 @tf.function def test: y = tf.rawops.Dequantize input=input, minrange=1.0, maxrange=10.0, mode='MINCOMBINED',...

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',...

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',...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists due to the lack of validation of the value of axis and an out-of-bound access allowing an attacker to crash the system via the implementation of Dequantize...

CVE-2022-21726

Tensorflow is an Open Source Machine Learning Framework. The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of...

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...

Design/Logic Flaw

Tensorflow is an Open Source Machine Learning Framework. The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of...

Integer overflow

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...

PYSEC-2022-50

Tensorflow is an Open Source Machine Learning Framework. The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of...

PYSEC-2022-51

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...