CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1CVE-2022-29196 – Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`
https://notcve.org/view.php?id=CVE-2022-29196
20 May 2022 — 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 • CWE-20: Improper Input Validation CWE-1284: Improper Validation of Specified Quantity in Input •
CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1CVE-2022-29198 – Missing validation causes denial of service in TensorFlow via `SparseTensorToCSRSparseMatrix`
https://notcve.org/view.php?id=CVE-2022-29198
20 May 2022 — 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 ... • https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/sparse/sparse_tensor_to_csr_sparse_matrix_op.cc#L65-L119 • CWE-20: Improper Input Validation •
CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1CVE-2022-29199 – Missing validation causes denial of service in TensorFlow via `LoadAndRemapMatrix`
https://notcve.org/view.php?id=CVE-2022-29199
20 May 2022 — 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 • CWE-20: Improper Input Validation •
CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1CVE-2022-29200 – Missing validation causes denial of service in TensorFlow via `LSTMBlockCell`
https://notcve.org/view.php?id=CVE-2022-29200
20 May 2022 — 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 • CWE-20: Improper Input Validation CWE-1284: Improper Validation of Specified Quantity in Input •
CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1CVE-2022-29193 – Missing validation causes `TensorSummaryV2` in TensorFlow to crash
https://notcve.org/view.php?id=CVE-2022-29193
20 May 2022 — 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 • CWE-20: Improper Input Validation •
CVSS: 5.5EPSS: 0%CPEs: 6EXPL: 2CVE-2022-29194 – Missing validation causes denial of service via `DeleteSessionTensor` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-29194
20 May 2022 — 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.DeleteSessionTensor` 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/session_ops.cc#L128-L144 • CWE-20: Improper Input Validation •
CVSS: 5.5EPSS: 0%CPEs: 6EXPL: 2CVE-2022-29191 – Missing validation causes denial of service via `GetSessionTensor` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-29191
20 May 2022 — 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.GetSessionTensor` 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/session_ops.cc#L94-L112 • CWE-20: Improper Input Validation •
CVSS: 5.5EPSS: 0%CPEs: 6EXPL: 2CVE-2022-29192 – Missing validation crashes `QuantizeAndDequantizeV4Grad` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-29192
20 May 2022 — 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.QuantizeAndDequantizeV4Grad` 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/quantize_and_dequantize_op.cc#L148-L226 • CWE-20: Improper Input Validation •
CVSS: 8.1EPSS: 0%CPEs: 1EXPL: 1CVE-2022-23592 – Out of bounds read in Tensorflow
https://notcve.org/view.php?id=CVE-2022-23592
04 Feb 2022 — Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a `DCHECK` (which is a no-op during production). An attacker can control the `input_idx` variable such that `ix` would be larger than the number of values in `node_t.args`. The fix will be included in TensorFlow 2.8.0. This is the only affected version. • https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L223-L229 • CWE-125: Out-of-bounds Read •
CVSS: 7.5EPSS: 0%CPEs: 1EXPL: 1CVE-2022-23593 – Segfault in `simplifyBroadcast` in Tensorflow
https://notcve.org/view.php?id=CVE-2022-23593
04 Feb 2022 — Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version. • https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205 • CWE-754: Improper Check for Unusual or Exceptional Conditions •