tensorflow

Vulnerabilities (423)

• CVE-2022-35983Sep 16, 2022
  affected < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. If `Save` or `SaveSlices` is run over tensors of an unsupported `dtype`, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 5dd7b86b84a864b834c

• CVE-2022-35989Sep 16, 2022
  affected < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. When `MaxPool` receives a window size input array `ksize` with dimensions greater than its input tensor `input`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched

• CVE-2022-35988Sep 16, 2022
  affected < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. When `tf.linalg.matrix_rank` receives an empty input `a`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c55b476aa0e0bd4ee99d0f3ad18

• CVE-2022-35982Sep 16, 2022
  affected < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the

• CVE-2022-35981Sep 16, 2022
  affected < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have pat

• CVE-2022-35979Sep 16, 2022
  affected < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub

• CVE-2022-35974Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad18

• CVE-2022-35972Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `min_bias`, `max_bias` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in Git

• CVE-2022-35973Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693

• CVE-2022-35971Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVars` is given `min` or `max` tensors of a nonzero rank, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d

• CVE-2022-35969Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub c

• CVE-2022-35970Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d53

• CVE-2022-35968Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. The implementation of `AvgPoolGrad` does not fully validate the input `orig_input_shape`. This results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub com

• CVE-2022-35966Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7cdf9d4d208

• CVE-2022-35967Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. If `QuantizedAdd` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706

• CVE-2022-35964Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  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 2a458fc4866505be

• CVE-2022-35965Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in Gi

• CVE-2022-35963Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service at

• CVE-2022-35960Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ

• CVE-2022-35959Sep 16, 2022
  affected >= 2.7.0, < 2.7.2fixed 2.7.2

  TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have