PYSEC-2021-751

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.SparseReshape can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but...

PYSEC-2021-566

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a floating point exception in tf.rawops.ResourceGather. The implementation computes the value of a value, batchsize, and then divides by it without checking that this...

PYSEC-2021-275

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a floating point exception in tf.rawops.ResourceGather. The implementation computes the value of a value, batchsize, and then divides by it without checking that this...

CVE-2021-37660

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The implementation has a logic error: it should skip processing i...

CVE-2021-37653

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a floating point exception in tf.rawops.ResourceGather. The implementation computes the value of a value, batchsize, and then divides by it without checking that this...

CVE-2021-37640

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.SparseReshape can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but...

CVE-2021-37636

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.SparseDenseCwiseDiv is vulnerable to a division by 0 error. The implementation uses a common class for all binary operations but fails to treat the division by 0 case...

PT-2021-21751 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: The implementation of tf.raw ops.SparseDenseCwiseDiv is vulnerable to a division...

PT-2021-21799 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: The implementation of fully connected layers in TFLite is vulnerable to a divisi...

PT-2021-21803 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: The implementations of pooling in TFLite are vulnerable to division by 0 errors ...

PT-2021-21757 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: The implementation of tf.raw ops.ResourceScatterDiv is vulnerable to a division ...

Google TensorFlow数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. An integer division by zero error vulnerability exists in the implementation of tf.rawops.SparseReshape in versions prior to Google TensorFlow 2.6.0. No details of the vulnerability are currently available...

PT-2021-21785 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: An attacker can cause denial of service in applications serving models using...

PT-2021-21793 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow version 2.5.1 TensorFlow version 2.4.3 TensorFlow version 2.3.4 Description: The issue is related to a division by 0 vulnerability in most implementations of convolution operators in TensorFlow,...

PT-2021-21802 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow version 2.5.1 TensorFlow version 2.4.3 TensorFlow version 2.3.4 Description: The implementation of division in TFLite is vulnerable to a division by 0 error. There is no check that the divisor...

PT-2021-6516 · Exiv2 +4 · Exiv2 +4

Name of the Vulnerable Software and Affected Versions: Exiv2 versions v0.27.4 and earlier Description: The issue is related to a lack of division by zero check in the Exiv2 library, which can cause a denial of service when a specially crafted image file is used. An attacker could exploit this to...

EulerOS 2.0 SP8 : ImageMagick (EulerOS-SA-2021-2299)

According to the versions of the ImageMagick packages installed, the EulerOS installation on the remote host is affected by the following vulnerabilities : - A flaw was found in ImageMagick in versions before 7.0.11 and before 6.9.12, where a division by zero in WaveImage of...

The vulnerability of the double64_init() function in the libsndfile library, which stems from the lack of checks for division by zero, allows attackers to cause a service failure.

The vulnerability of the double64init function in the libsndfile library is related to the lack of checks for division by zero. Exploiting this vulnerability could allow a remote attacker to cause a service failure...

The vulnerability of the MagickCore/visual-effects.c file, a set of programs for reading and editing ImageMagisk files, arises from the lack of zero-division checking. This allows an attacker to trigger a service failure.

The vulnerability of the MagickCore/visual-effects.c file, a set of programs for reading and editing ImageMagisk files, is related to the lack of checks for division by zero. Exploiting this vulnerability could allow an attacker to cause service interruptions...

The vulnerability of the software for implementing VNC functions of LibVNCServer lies in the lack of checks for division by zero, which allows a perpetrator to trigger a service failure.

The vulnerability of the software for implementing VNC functions of LibVNCServer is related to the lack of checks for division by zero. Exploiting this vulnerability could allow a malicious actor to cause service failures remotely...