SUSE CVE-2021-21708

In PHP versions 7.4.x below 7.4.28, 8.0.x below 8.0.16, and 8.1.x below 8.1.3, when using filter functions with FILTERVALIDATEFLOAT filter and min/max limits, if the filter fails, there is a possibility to trigger use of allocated memory after free, which can result it crashes, and potentially in...

SUSE CVE-2021-29582

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.Dequantize, an attacker can trigger a read from outside of bounds of heap allocated data. The...

SUSE CVE-2022-21731

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concatdim in the ConcatShapeHelper helper function. Then, a...

SUSE CVE-2022-35966

TensorFlow is an open source platform for machine learning. If QuantizedAvgPool is given mininput or maxinput tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

SUSE CVE-2022-35990

TensorFlow is an open source platform for machine learning. When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...

SUSE CVE-2022-36005

TensorFlow is an open source platform for machine learning. When tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...

Security Bulletin: Vulnerability in min-dash affects IBM Process Mining [CVE-2021-23460]

Summary There is a vulnerability in min-dash that could allow a remote attacker to execute arbitrary code on the system. The code is used by IBM Process Mining. This bulletin identifies the security fixes to apply to address the vulnerability. CVE-2021-23460 Vulnerability Details...

Oracle Linux 9 : php (ELSA-2022-8197)

The remote Oracle Linux 9 host has packages installed that are affected by multiple vulnerabilities as referenced in the ELSA-2022-8197 advisory. 8.0.20-3 - snmp3 calls using authPriv or authNoPriv immediately return false 2104630 8.0.20-2 - fix patch41 not applied use system nikic/php-parser whe...

PT-2022-34190

Name of the Vulnerable Software and Affected Versions Linux Kernel versions prior to v5.4.212 Description The issue is related to the net/af packet component. It involves checking the length when min header len equals 0. The actual impact and attack plausibility have not yet been proven...

PT-2022-33985

Name of the Vulnerable Software and Affected Versions Linux Kernel versions prior to v5.10.141 Description The issue is related to the net/af packet component, where a check is performed on the length when min header len equals 0. The actual impact and attack plausibility have not yet been proven...

GHSA-V7VW-577F-VP8X TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`

Impact If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for minfeatures or maxfeatures, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf outtype = tf.quint8 features = tf.constant28, shape=4,2, dtype=tf.quint8 minfeatures...

GHSA-VGVH-2PF4-JR2X TensorFlow vulnerable to segfault in `QuantizeDownAndShrinkRange`

Impact If QuantizeDownAndShrinkRange is given nonscalar inputs for inputmin or inputmax, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf outtype = tf.quint8 input = tf.constant1, shape=3, dtype=tf.qint32 inputmin = tf.constant,...

GHSA-689C-R7H2-FV9V TensorFlow vulnerable to segfault in `QuantizedMatMul`

Impact If QuantizedMatMul is given nonscalar input for: - mina - maxa - minb - maxb It gives a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 transposea = False transposeb = False Tactivation = tf.quint8 a = tf.constant7,...

GHSA-9FPG-838V-WPV7 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`

Impact If FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf numbits = 8 narrowrange = False inputs = tf.constant0, shape=2,3, dtype=tf.float32 min = tf.constant0,...

GHSA-H7FF-CFC9-WMMH TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`

Impact When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=1,1, dtype=tf.float32, maxval=None...

CVE-2022-36005

TensorFlow is an open source platform for machine learning. When tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-36019 `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel` in TensorFlow

TensorFlow is an open source platform for machine learning. If FakeQuantWithMinMaxVarsPerChannel is given min or max tensors of a rank other than one, 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...

CVE-2022-36019

TensorFlow is an open source platform for machine learning. If FakeQuantWithMinMaxVarsPerChannel is given min or max tensors of a rank other than one, 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...

CVE-2022-35990

TensorFlow is an open source platform for machine learning. When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...

GHSA-R26C-679W-MRJM TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`

Impact When tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2, dtype=tf.float...