138 matches found
CVE-2021-29516
TensorFlow is an end-to-end open source platform for machine learning. Calling tf.rawops.RaggedTensorToVariant with arguments specifying an invalid ragged tensor results in a null pointer dereference. The implementation of RaggedTensorToVariant...
BIT-TENSORFLOW-2021-29516 Null pointer dereference via invalid Ragged Tensors
TensorFlow is an end-to-end open source platform for machine learning. Calling tf.rawops.RaggedTensorToVariant with arguments specifying an invalid ragged tensor results in a null pointer dereference. The implementation of RaggedTensorToVariant...
BIT-TENSORFLOW-2021-37666 Reference binding to nullptr in `RaggedTensorToVariant` in TensorFlow
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.RaggedTensorToVariant. The implementation has an incomplete validation of the splits values, missing the case...
SUSE CVE-2021-29516
TensorFlow is an end-to-end open source platform for machine learning. Calling tf.rawops.RaggedTensorToVariant with arguments specifying an invalid ragged tensor results in a null pointer dereference. The implementation of RaggedTensorToVariant...
SUSE CVE-2021-29532
TensorFlow is an end-to-end open source platform for machine learning. An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to tf.rawops.RaggedCross. This is because the...
SUSE CVE-2021-29560
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in tf.rawops.RaggedTensorToTensor. This is because the...
SUSE CVE-2021-29608
TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.RaggedTensorToTensor, an attacker can exploit an undefined behavior if input arguments are empty. The...
SUSE CVE-2021-37638
TensorFlow is an end-to-end open source platform for machine learning. Sending invalid argument for rowpartitiontypes of tf.rawops.RaggedTensorToTensor API results in a null pointer dereference and undefined behavior. The implementation accesses the first element of a user supplied list of values...
SUSE CVE-2021-37641
TensorFlow is an end-to-end open source platform for machine learning. In affected versions if the arguments to tf.rawops.RaggedGather don't determine a valid ragged tensor code can trigger a read from outside of bounds of heap allocated buffers. The implementation directly reads the first...
SUSE CVE-2021-37666
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.RaggedTensorToVariant. The implementation has an incomplete validation of the splits values, missing the case...
SUSE CVE-2021-41212
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for tf.ragged.cross can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1,...
SUSE CVE-2021-41214
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for tf.ragged.cross has an undefined behavior due to binding a reference to nullptr. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1,...
SUSE CVE-2022-29202
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2,...
SUSE CVE-2022-35940
TensorFlow is an open source platform for machine learning. The RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float, it can overflow when converted to an int64. This triggers an InvalidArgument but also...
GHSA-M6CV-4FMF-66XF TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`
Impact If RaggedTensorToVariant is given a rtnestedsplits list that contains tensors of ranks other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf batchedinput = True rtnestedsplits = tf.constant0,32,64, shape=3,...
PT-2022-23118 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description: The issue arises when RaggedTensorToVariant is given a rt nested splits list...
GHSA-CWPM-F78V-7M5C Denial of service in `tf.ragged.constant` due to lack of validation
Impact The implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory: python import tensorflow as tf tf.ragged.constantpylist=,raggedrank=8968073515812833920 Patches We have patched the issue in GitHub...
CVE-2022-29202
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2,...
Google TensorFlow资源管理错误漏洞
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A resource management error vulnerability exists in Google TensorFlow versions prior to 2.9.0, prior to 2.8.1, prior to 2.7.2, and prior to 2.6.4, which stems from the fact that tf.ragged.consta...
PT-2022-19454 · Google · Tensorflow
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: The implementation of tf.ragged.constant does not fully validate the input arguments,...