2057 matches found
CVE-2021-44182: Out-of-bounds Read
Adobe Dimension versions 3.4.3 and earlier are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim...
CVE-2021-44181: Out-of-bounds Write
Adobe Dimension versions 3.4.3 and earlier are affected by an out-of-bounds write vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious GIF file...
CVE-2021-44183: Out-of-bounds Read
Adobe Dimension versions 3.4.3 and earlier are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim...
Adobe Dimension 缓冲区错误漏洞
Adobe Dimension is a set of 2D and 3D composite design tools from Adobe, Inc. A memory corruption vulnerability exists in Adobe Dimension, which can be exploited by attackers to cause arbitrary code to be executed in the context of the current user...
Adobe Dimension 缓冲区错误漏洞
Adobe Dimension is a set of 2D and 3D composite design tools from Adobe, Inc. An out-of-bounds read vulnerability exists in Adobe Dimension, which can be exploited by attackers to cause sensitive memory leaks...
Adobe Dimension 缓冲区错误漏洞
Adobe Dimension is a set of 2D and 3D composite design tools from Adobe, Inc. An out-of-bounds read vulnerability exists in Adobe Dimension, which can be exploited by attackers to cause sensitive memory leaks...
Adobe Dimension 缓冲区错误漏洞
Adobe Dimension is a set of 2D and 3D composite design tools from Adobe, Inc. An out-of-bounds write vulnerability exists in Adobe Dimension, which can be exploited by attackers to cause arbitrary code to be executed in the context of the current user...
Adobe Dimension 缓冲区错误漏洞
Adobe Dimension is a set of 2D and 3D composite design tools from Adobe, Inc. An out-of-bounds read vulnerability exists in Adobe Dimension, which can be exploited by attackers to cause sensitive memory leaks...
Adobe Dimension 缓冲区错误漏洞
Adobe Dimension is a set of 2D and 3D composite design tools from Adobe, Inc. An out-of-bounds write vulnerability exists in Adobe Dimension, which can be exploited by attackers to cause arbitrary code to be executed in the context of the current user...
APSB21-116 : Security update available for Adobe Dimension
Adobe has released an update for Adobe Dimension. This update addresses critical, important and moderate vulnerabilities. Successful exploitation could lead to arbitrary code execution and privilege escalation in the context of the current user...
GHSA-M539-J985-HCR8 Crash in `max_pool3d` when size argument is 0 or negative
Impact The Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative: python import tensorflow as tf poolsize = 2, 2, 0 layer = tf.keras.layers.MaxPooling3Dstrides=1, poolsize=poolsize inputtensor = tf.random.uniform3, 4, 10, 11, 12, dtype=tf.float32 r...
PYSEC-2021-826
TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to nullptr. This occurs whenever the dimensions of a or b are 0 or less. In the case on one of these is 0, an empt...
CVE-2021-41215
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for DeserializeSparse can trigger a null pointer dereference. This is because the shape inference function assumes that the serializesparse tensor is a tensor with positive rank and having 3 ...
PYSEC-2021-804
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window...
Design/Logic Flaw
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs,...
PYSEC-2021-804
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window...
PYSEC-2021-389
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window...
CVE-2021-41196 Crash in `max_pool3d` when size argument is 0 or negative
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window...
CVE-2021-41196
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window...
PT-2021-7681 · Adobe · Dimension
Name of the Vulnerable Software and Affected Versions: Adobe Dimension version 3.4.5 Description: The issue is related to a Use After Free vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction, where a...