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CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1

CVE-2022-29196 – Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`

https://notcve.org/view.php?id=CVE-2022-29196

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.raw_ops.Conv3DBackpropFilterV2` 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 code does not validate that the `filter_sizes` argument is a vector. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. • https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/conv_grad_ops_3d.cc https://github.com/tensorflow/tensorflow/commit/174c5096f303d5be7ed2ca2662b08371bff4ab88 https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 https://github.com/tensorflow/tensorflow/security/advisori • CWE-20: Improper Input Validation CWE-1284: Improper Validation of Specified Quantity in Input •

CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1

CVE-2022-29198 – Missing validation causes denial of service in TensorFlow via `SparseTensorToCSRSparseMatrix`

https://notcve.org/view.php?id=CVE-2022-29198

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.raw_ops.SparseTensorToCSRSparseMatrix` 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 code assumes `dense_shape` is a vector and `indices` is a matrix (as part of requirements for sparse tensors) but there is no validation for this. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. • https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/sparse/sparse_tensor_to_csr_sparse_matrix_op.cc#L65-L119 https://github.com/tensorflow/tensorflow/commit/ea50a40e84f6bff15a0912728e35b657548cef11 https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 https://github.c • CWE-20: Improper Input Validation •

CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1

CVE-2022-29199 – Missing validation causes denial of service in TensorFlow via `LoadAndRemapMatrix`

https://notcve.org/view.php?id=CVE-2022-29199

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.raw_ops.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. The code assumes `initializing_values` is a vector but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. • https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/load_and_remap_matrix_op.cc#L70-L98 https://github.com/tensorflow/tensorflow/commit/3150642acbbe254e3c3c5d2232143fa591855ac9 https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 https://github.com/tensorflow/tensorflow • CWE-20: Improper Input Validation •

CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1

CVE-2022-29200 – Missing validation causes denial of service in TensorFlow via `LSTMBlockCell`

https://notcve.org/view.php?id=CVE-2022-29200

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.raw_ops.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 code does not validate the ranks of any of the arguments to this API call. This results in `CHECK`-failures when the elements of the tensor are accessed. • https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/rnn/lstm_ops.cc https://github.com/tensorflow/tensorflow/commit/803404044ae7a1efac48ba82d74111fce1ddb09a https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 https://github.com/tensorflow/tensorflow/security/advisories/ • CWE-20: Improper Input Validation CWE-1284: Improper Validation of Specified Quantity in Input •

CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1

CVE-2022-29193 – Missing validation causes `TensorSummaryV2` in TensorFlow to crash

https://notcve.org/view.php?id=CVE-2022-29193

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.raw_ops.TensorSummaryV2` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. TensorFlow es una plataforma de código abierto para el aprendizaje automático. • https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/summary_tensor_op.cc#L33-L58 https://github.com/tensorflow/tensorflow/commit/290bb05c80c327ed74fae1d089f1001b1e2a4ef7 https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 https://github.com/tensorflow/tensorflow/security& • CWE-20: Improper Input Validation •