BIT-TENSORFLOW-2022-29199 Missing validation causes denial of service in TensorFlow via `LoadAndRemapMatrix`

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.rawops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. Th...

BIT-TENSORFLOW-2022-29200 Missing validation causes denial of service in TensorFlow via `LSTMBlockCell`

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.rawops.LSTMBlockCell does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. The cod...

BIT-TENSORFLOW-2022-29201 Missing validation in `QuantizedConv2D` results in undefined behavior in TensorFlow

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.rawops.QuantizedConv2D does not fully validate the input arguments. In this case, references get bound to nullptr for each argument that is empty. Versions 2.9.0,...

BIT-TENSORFLOW-2022-29202 Denial of service in TensorFlow due to lack of validation in `tf.ragged.constant`

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,...

BIT-TENSORFLOW-2022-29203 Integer overflow in `SpaceToBatchND` in TensorFlow

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.rawops.SpaceToBatchND in all backends such as XLA and handwritten kernels is vulnerable to an integer overflow: The result of this integer overflow is used to...

BIT-TENSORFLOW-2022-29204 Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`

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.rawops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. T...

BIT-TENSORFLOW-2022-29205 Segfault due to missing support for quantized types in TensorFlow

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, there is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types, which was added after migration to...

BIT-TENSORFLOW-2022-29206 Missing validation results in undefined behavior in `SparseTensorDenseAdd` in TensorFlow

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.rawops.SparseTensorDenseAdd does not fully validate the input arguments. In this case, a reference gets bound to a nullptr during kernel execution. This is...

BIT-TENSORFLOW-2022-29207 Undefined behavior when users supply invalid resource handles in TensorFlow

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, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but...

BIT-TENSORFLOW-2022-29208 Segfault and Out-of-bounds Write write due to incomplete validation in TensorFlow

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.rawops.EditDistance has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout...

BIT-TENSORFLOW-2022-29209 Type confusion leading to `CHECK`-failure based denial of service in TensorFlow

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 macros that TensorFlow uses for writing assertions e.g., CHECKLT, CHECKGT, etc. have an incorrect logic when comparing sizet and int values. Due to type conversion rules, several of t...

BIT-TENSORFLOW-2022-29210 Heap buffer overflow due to incorrect hash function in TensorFlow

TensorFlow is an open source platform for machine learning. In version 2.8.0, the TensorKey hash function used total estimated AllocatedBytes, which a is an estimate per tensor, and b is a very poor hash function for constants e.g. int32t. It also tried to access individual tensor bytes through...

BIT-TENSORFLOW-2022-29211 Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values

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.histogramfixedwidth is vulnerable to a crash when the values array contain Not a Number NaN elements. The implementation assumes that all floating point operation...

BIT-TENSORFLOW-2022-29212 Core dump when loading TFLite models with quantization in TensorFlow

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, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could b...

BIT-TENSORFLOW-2022-29213 Incomplete validation in signal ops leads to crashes in TensorFlow

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 tf.compat.v1.signal.rfft2d and tf.compat.v1.signal.rfft3d lack input validation and under certain condition can result in crashes due to CHECK-failures. Versions 2.9.0, 2.8.1, 2.7.2,...

BIT-TENSORFLOW-2022-29216 Code injection in `saved_model_cli` in TensorFlow

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, TensorFlow's savedmodelcli tool is vulnerable to a code injection. This can be used to open a reverse shell. This code path was maintained for compatibility reasons as the maintainers had...

BIT-TENSORFLOW-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...

BIT-TENSORFLOW-2022-35935 `CHECK` failure in `SobolSample` via missing validation in TensorFlow

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...

BIT-TENSORFLOW-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...

BIT-TENSORFLOW-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...