Adobe Dimension < 3.4.4 Multiple Vulnerabilities (APSB21-116)

The version of Adobe Dimension installed on the remote Windows host is prior to 3.4.4. It is, therefore, affected by multiple vulnerabilities as referenced in the APSB21-116 advisory. - Adobe Dimension versions 3.4.3 and earlier are affected by an out-of-bounds write vulnerability that could resu...

Adobe Dimension Installed

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Adobe Dimension Installed (macOS)

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GHSA-JHM9-H84H-RW83 phpBB Server-Side Request Forgery Vulnerability

A vulnerability exists in phpBB v3.2.10 and v3.3.1 which allowed remote image dimensions check to be used to SSRF...

PT-2022-19457

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description There is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1...

CVE-2022-27827

Improper validation vulnerability in MediaMonitorDimension prior to SMR Apr-2022 Release 1 allows attackers to launch certain activities...

GHSA-6GMV-PJP9-P8W8 Out of bounds read in Tensorflow

Impact The implementation of shape inference for ReverseSequence does not fully validate the value of batchdim and can result in a heap OOB read: python import tensorflow as tf @tf.function def test: y = tf.rawops.ReverseSequence input = 'aaa','bbb', seqlengths = 1,1,1, seqdim = -10, batchdim = -...

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...

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-2022-107

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-2022-107

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-2022-21726 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-2022-21728 Out of bounds read in Tensorflow

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-2022-21728

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-2022-15067 · 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 ReverseSequence does not fully validat...

The vulnerability of Adobe Dimension’s 3D design software relates to reading data beyond the buffer in memory, allowing attackers to exploit their privileges and gain unauthorized access to protected information.

The vulnerability of Adobe Dimension’s 3D design software relates to reading data beyond the buffer in memory. Exploiting this vulnerability can allow a malicious actor to enhance their privileges and gain unauthorized access to protected information...

The vulnerability of Adobe Dimension’s 3D design software relates to reading data beyond the buffer in memory, allowing attackers to exploit their privileges and gain unauthorized access to protected information.

The vulnerability of Adobe Dimension’s 3D design software relates to reading data beyond the buffer in memory. Exploiting this vulnerability can allow a malicious actor to enhance their privileges and gain unauthorized access to protected information...

The vulnerability of Adobe Dimension’s 3D design software relates to reading data beyond the buffer in memory, allowing attackers to exploit their privileges and gain unauthorized access to protected information.

The vulnerability of Adobe Dimension’s 3D design software relates to reading data beyond the buffer in memory. Exploiting this vulnerability can allow a malicious actor to enhance their privileges and gain unauthorized access to protected information...

The vulnerability of Adobe Dimension’s 3D design software lies in its inability to handle data writing beyond the buffer limit, allowing attackers to execute arbitrary code.

The vulnerability of Adobe Dimension’s 3D design software relates to the issue of data writing beyond the buffer during the processing of GIF files. Exploiting this vulnerability can allow an attacker to execute arbitrary code...

The vulnerability of Adobe Dimension’s 3D design software lies in the possibility of an operation going beyond the buffer boundaries in memory, allowing a hacker to execute arbitrary code.

The vulnerability of Adobe Dimension’s 3D design software relates to the execution of operations beyond the buffer boundaries in memory when processing GIF files. Exploiting this vulnerability can allow an attacker to execute arbitrary code...