65 matches found
SUSE 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...
SUSE CVE-2022-36026
TensorFlow is an open source platform for machine learning. 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. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713...
CVE-2022-36026
TensorFlow is an open source platform for machine learning. 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. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713...
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,...
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...
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...
GHSA-49RX-X2RW-PC6F Heap OOB read in all `tf.raw_ops.QuantizeAndDequantizeV*` ops
Impact The shape inference functions for the QuantizeAndDequantizeV operations can trigger a read outside of bounds of heap allocated array as illustrated in the following sets of PoCs: python import tensorflow as tf @tf.function def test: data=tf.rawops.QuantizeAndDequantizeV4Grad...
PYSEC-2021-398
TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the QuantizeAndDequantizeV operations can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit ...
PYSEC-2021-813
TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the QuantizeAndDequantizeV operations can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit ...
PYSEC-2021-398
TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the QuantizeAndDequantizeV operations can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit ...
PT-2021-23177 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.7.0 TensorFlow versions 2.6.1 and earlier TensorFlow versions 2.5.2 and earlier TensorFlow versions 2.4.4 and earlier Description: The shape inference functions for the QuantizeAndDequantizeV operations can...
Google TensorFlow 缓冲区错误漏洞
Google TensorFlow is an end-to-end open source machine learning platform. an out-of-bounds read vulnerability exists in the shape inference function of the QuantizeAndDequantizeV operation in versions prior to TensorFlow 2.7.0 for heap allocation arrays. No detailed vulnerability details are...
GHSA-9W2P-5MGW-P94C Integer overflow due to conversion to unsigned
Impact The implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. python import tensorflow as tf tf.rawops.QuantizeAndDequantizeV4Grad...
PYSEC-2021-756
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...
PYSEC-2021-267
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...
PYSEC-2021-558
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...
CVE-2021-37645
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...
PYSEC-2021-267
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...
Google TensorFlow 数字错误漏洞
Google TensorFlow is an end-to-end open source machine learning platform. An integer overflow vulnerability exists in the implementation of tf.rawops.QuantizeAndDequantizeV4Grad in versions prior to Google TensorFlow 2.6.0. The vulnerability stems from converting a signed integer value to an...
GHSA-MQ5C-PRH3-3F3H Invalid validation in `QuantizeAndDequantizeV2`
Impact The validation in tf.rawops.QuantizeAndDequantizeV2 allows invalid values for axis argument: python import tensorflow as tf inputtensor = tf.constant0.0, shape=1, dtype=float inputmin = tf.constant-10.0 inputmax = tf.constant-10.0 tf.rawops.QuantizeAndDequantizeV2 input=inputtensor,...