595 matches found
CVE-2022-35964 Segfault in `BlockLSTMGradV2` in TensorFlow
TensorFlow is an open source platform for machine learning. The implementation of BlockLSTMGradV2 does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...
CVE-2022-35941
TensorFlow is an open source platform for machine learning. The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. We have patched the issue in GitHub commit...
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...
Stack overflow
TensorFlow is an open source platform for machine learning. In core/kernels/listkernels.cc's TensorListReserve, numelements is assumed to be a tensor of size 1. When a numelements of more than 1 element is provided, then tf.rawops.TensorListReserve fails the CHECKEQ in...
Stack overflow
TensorFlow is an open source platform for machine learning. The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure assertion failure caused by assuming input0, input1, and input2 to be scalar. This issue has been patched in GitHub commit...
Stack overflow
TensorFlow is an open source platform for machine learning. The implementation of AvgPool3DGradOp does not fully validate the input originputshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. We have patched the issue in...
Stack overflow
TensorFlow is an open source platform for machine learning. The ScatterNd function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. We have...
Stack overflow
TensorFlow is an open source platform for machine learning. The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor. This issue has been patched in GitHub commit...
Out-of-bounds
TensorFlow is an open source platform for machine learning. The GatherNd function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. This issue has been...
Out-of-bounds
TensorFlow is an open source platform for machine learning. The GatherNd function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. This issue has been patched in...
CVE-2022-35960 `CHECK` failure in `TensorListReserve` in TensorFlow
TensorFlow is an open source platform for machine learning. In core/kernels/listkernels.cc's TensorListReserve, numelements is assumed to be a tensor of size 1. When a numelements of more than 1 element is provided, then tf.rawops.TensorListReserve fails the CHECKEQ in...
CVE-2022-35952 `CHECK` failures in `UnbatchGradOp` in TensorFlow
TensorFlow is an open source platform for machine learning. The UnbatchGradOp function takes an argument id that is assumed to be a scalar. A nonscalar id can trigger a CHECK failure and crash the program. It also requires its argument batchindex to contain three times the number of elements as...
CVE-2022-35940 Int overflow in `RaggedRangeOp` in Tensoflow
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...
CVE-2022-35941 `CHECK` failure in `AvgPoolOp` in Tensorflow
TensorFlow is an open source platform for machine learning. The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. We have patched the issue in GitHub commit...
CVE-2022-35937 OOB read in `Gather_nd` op in TensorFlow Lite
TensorFlow is an open source platform for machine learning. The GatherNd function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. This issue has been patched in...
CVE-2022-35939 Out of bounds write in `scatter_nd` op in TensorFlow Lite
TensorFlow is an open source platform for machine learning. The ScatterNd function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. We have...
CVE-2022-35938 OOB read in `Gather_nd` op in TensorFlow Lite Micro
TensorFlow is an open source platform for machine learning. The GatherNd function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. This issue has been...
CVE-2022-35934 `CHECK` failure in tf.reshape in Tensorflow
TensorFlow is an open source platform for machine learning. The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor. This issue has been patched in GitHub commit...
CVE-2022-35934 `CHECK` failure in tf.reshape in Tensorflow
TensorFlow is an open source platform for machine learning. The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor. This issue has been patched in GitHub commit...
TensorFlow vulnerable to `CHECK` fail in `tf.sparse.cross`
Impact If tf.sparse.cross receives an input separator that is not a scalar, it gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf tf.sparse.crossinputs=,name='a',separator=tf.constant'a', 'b',dtype=tf.string Patches We have patched the issue ...