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-2022-105

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-2022-21727

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 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...

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 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-2022-15065 · 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...

Mageia: Security Advisory (MGASA-2014-0549)

The remote host is missing an update for the SPDX-FileCopyrightText: 2022 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...

Mageia: Security Advisory (MGASA-2018-0431)

The remote host is missing an update for the SPDX-FileCopyrightText: 2022 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...

Mageia: Security Advisory (MGASA-2013-0200)

The remote host is missing an update for the SPDX-FileCopyrightText: 2022 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...

ZStack Remote Code Execution Vulnerability

ZStack is a product of Shanghai Cloud Axis Information Technology Co. The ZStack remote code execution vulnerability can be exploited by attackers to execute arbitrary code to gain control of the server...

Debian DLA-2821-1 : axis - LTS security update

The remote Debian 9 host has packages installed that are affected by a vulnerability as referenced in the dla-2821 advisory. An issue has been found in axis, a SOAP implementation in Java. The issue is related to a cross-site scripting XSS attack in the default servlet/services. For Debian 9...

Debian: Security Advisory (DLA-2821-1)

The remote host is missing an update for the Debian SPDX-FileCopyrightText: 2021 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...

[SECURITY] [DLA 2821-1] axis security update

------------------------------------------------------------------------- Debian LTS Advisory DLA-2821-1 [email protected] https://www.debian.org/lts/security/ Thorsten Alteholz November 17, 2021 https://wiki.debian.org/LTS -...

DLA-2821-1 axis - security update

Bulletin has no description...

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'...