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 CVE-2022-21726 affects the Dequantize path, where axis validation is insufficient and can cause heap-out-of-bounds reads. The issue arises when axis is -1 (default) or any large positive value not checked against input dimensions, reading past the dimensions array. A fix is planned for...

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...

CVE-2022-21728

CVE-2022-21728 affects TensorFlow: ReverseSequence shape-inference can yield a heap-based out-of-bounds read because batch_dim is checked for being too large but not for negative values. The mitigation path is a forthcoming fix in TensorFlow 2.8.0, with cherry-picks into 2.7.1, 2.6.3, and 2.5.3. ...

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 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...

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-2022-21730 Out of bounds read in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this...

CVE-2022-21730 Out of bounds read in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this...

CVE-2022-21730

Summary: CVE-2022-21730 describes an out-of-bounds read in TensorFlow’s FractionalAvgPoolGrad due to invalid input handling. This affects TensorFlow releases prior to the fixed patch and is resolved by the fix in TensorFlow 2.8.0, with cherry-picks to 2.7.1, 2.6.3, and 2.5.3. Affected component: ...

CVE-2022-21730

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this...

CVE-2022-21730 Out of bounds read in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google USA. Google Tensorflow suffers from a buffer overflow vulnerability that stems from the fact that the implementation of FractionalAvgPoolGrad does not account for invalid input tensor, which can be exploited ...

Google TensorFlow 输入验证错误漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google USA. Google Tensorflow is vulnerable to an input validation error, which can be exploited by attackers to cause a denial of service...

PT-2022-16085 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1, 2.6.3, and 2.5.3 are also affected Description: Multiple operations in TensorFlow can be used to trigger a denial of service via CHECK-fails i.e., assertion failures. This issue is...

PT-2022-15081 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1, 2.6.3, and 2.5.3 are also affected Description: The implementation of SparseCountSparseOutput in TensorFlow is vulnerable to a heap overflow. This issue can be exploited using the...

PT-2022-16083 · 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 implementations of SparseCwise ops in TensorFlow are vulnerable to integer...