CVE-2022-21727

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...

CVE-2022-21726 Out of bounds read in Tensorflow

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...

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...

CVE-2022-21726

TensorFlow CVE-2022-21726 affects the Dequantize path, where axis validation is insufficient and can cause heap-out-of-bounds reads. The issue arises when axis is -1 (default) or any large positive value not checked against input dimensions, reading past the dimensions array. A fix is planned for...

CVE-2022-21726 Out of bounds read in Tensorflow

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...

Google TensorFlow 缓冲区错误漏洞

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...

PT-2022-15066 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1 and earlier TensorFlow versions 2.6.3 and earlier TensorFlow versions 2.5.3 and earlier Description: The implementation of shape inference for Dequantize is vulnerable to an integer...

PT-2022-15065 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1 and earlier TensorFlow versions 2.6.3 and earlier TensorFlow versions 2.5.3 and earlier Description: The implementation of Dequantize does not fully validate the value of axis and c...

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-2021-813

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 ...

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 ...

CVE-2021-41205

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...

GHSA-QFPC-5PJR-MH26 Missing validation in shape inference for `Dequantize`

Impact The shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments: python import tensorflow as tf tf.compat.v1.disablev2behavior tf.rawops.Dequantize inputtensor = tf.constant-10.0,...

Missing validation in shape inference for `Dequantize`

Impact The shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments: python import tensorflow as tf tf.compat.v1.disablev2behavior tf.rawops.Dequantize inputtensor = tf.constant-10.0,...

PYSEC-2021-788

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

Design/Logic Flaw

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...