PYSEC-2022-107

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batchdim and can result in a heap OOB read. There is a check to make sure the value of batchdim does not go over the rank of the input, but there...

PYSEC-2022-52

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batchdim and can result in a heap OOB read. There is a check to make sure the value of batchdim does not go over the rank of the input, but there...

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...

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...

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...

PYSEC-2022-107

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batchdim and can result in a heap OOB read. There is a check to make sure the value of batchdim does not go over the rank of the input, but there...

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-2022-21727 Integer overflow in Tensorflow

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-2022-21727

CVE-2022-21727 : TensorFlow’s Dequantize shape inference is vulnerable to an integer overflow because the axis bound is not checked before computing axis+1. The fix is to be included in TensorFlow 2.8.0, with cherry-picks to 2.7.1, 2.6.3, and 2.5.3. Remediation guidance across connected sources i...

CVE-2022-21727 Integer overflow in Tensorflow

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-2022-21728

CVE-2022-21728 affects TensorFlow: ReverseSequence shape-inference can yield a heap-based out-of-bounds read because batch_dim is checked for being too large but not for negative values. The mitigation path is a forthcoming fix in TensorFlow 2.8.0, with cherry-picks into 2.7.1, 2.6.3, and 2.5.3. ...

CVE-2022-21728

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batchdim and can result in a heap OOB read. There is a check to make sure the value of batchdim does not go over the rank of the input, but there...

PT-2022-15071 · 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 ConcatV2 can be used to trigger a deni...

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 Google. Google Tensorflow suffers from an input validation error vulnerability, which stems from the fact that implementations of dequantized shape inference are vulnerable to integer overflow weaknesses, whi...

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...

Google TensorFlow Buffer Overflow Vulnerability (CNVD-2022-09870)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A buffer overflow vulnerability exists in Google TensorFlow, which stems from undefined behavior of the shape inference code of "tf.ragged.cross" due to a bound reference to "nullptr" in the...

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...

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...

Heap OOB in shape inference for `QuantizeV2`

Impact The shape inference code for QuantizeV2 can trigger a read outside of bounds of heap allocated array: python import tensorflow as tf @tf.function def test: data=tf.rawops.QuantizeV2 input=1.0,1.0, minrange=1.0,10.0, maxrange=1.0,10.0, T=tf.qint32, mode='MINCOMBINED', roundmode='HALFTOEVEN'...

GHSA-CVGX-3V3Q-M36C Heap OOB in shape inference for `QuantizeV2`

Impact The shape inference code for QuantizeV2 can trigger a read outside of bounds of heap allocated array: python import tensorflow as tf @tf.function def test: data=tf.rawops.QuantizeV2 input=1.0,1.0, minrange=1.0,10.0, maxrange=1.0,10.0, T=tf.qint32, mode='MINCOMBINED', roundmode='HALFTOEVEN'...