https://cve.radiocsirt.org Contains only the most 10 recent entries. http://www.rssboard.org/rss-specification python-feedgen en Sat, 24 Oct 2026 02:44:59 +0000 https://cve.radiocsirt.org/vuln/cve-2022-29198 <p><strong>Affected:</strong> tensorflow</p> <p>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.</p> <p><strong>Affected:</strong> tensorflow</p> <p>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.</p> https://cve.radiocsirt.org/vuln/cve-2022-29198 https://cve.radiocsirt.org/vuln/ghsa-mg66-qvc5-rm93 <p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p> <p>### Impact The implementation of [`tf.raw_ops.SparseTensorToCSRSparseMatrix`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/sparse/sparse_tensor_to_csr_sparse_matrix_op.cc#L65-L119) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack:</p> <p>```python import tensorflow as tf</p> <p>indices = tf.constant(53, shape=[3], dtype=tf.int64) values = tf.constant(0.554979503, shape=[218650], dtype=tf.float32) dense_shape = tf.constant(53, shape=[3], dtype=tf.int64) tf.raw_ops.SparseTensorToCSRSparseMatrix( indices=indices, values=values, dense_shape=dense_shape) ```</p> <p>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: ```cc const Tensor&amp; indices = ctx-&gt;input(0); const Tensor&amp; values = ctx-&gt;input(1); const Tensor&amp; dense_shape = ctx-&gt;input(2); const int rank = dense_shape.NumElements(); OP_REQUIRES(ctx, rank == 2 || rank == 3, errors::InvalidArgument(&#34;SparseTensor must have rank 2 or 3; &#34;, &#34;but indices has rank: &#34;, rank)); auto dense_shape_vec = dense_shape.vec&lt;int64_t&gt;(); // ... OP_REQUIRES_OK( ctx, coo_to_csr(batch_size, num_rows, indices.template matrix&lt;int64_t&gt;(), batch_ptr.vec&lt;int32&gt;(), csr_row_ptr.vec&lt;int32&gt;(),…</p> <p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p> <p>### Impact The implementation of [`tf.raw_ops.SparseTensorToCSRSparseMatrix`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/sparse/sparse_tensor_to_csr_sparse_matrix_op.cc#L65-L119) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack:</p> <p>```python import tensorflow as tf</p> <p>indices = tf.constant(53, shape=[3], dtype=tf.int64) values = tf.constant(0.554979503, shape=[218650], dtype=tf.float32) dense_shape = tf.constant(53, shape=[3], dtype=tf.int64) tf.raw_ops.SparseTensorToCSRSparseMatrix( indices=indices, values=values, dense_shape=dense_shape) ```</p> <p>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: ```cc const Tensor&amp; indices = ctx-&gt;input(0); const Tensor&amp; values = ctx-&gt;input(1); const Tensor&amp; dense_shape = ctx-&gt;input(2); const int rank = dense_shape.NumElements(); OP_REQUIRES(ctx, rank == 2 || rank == 3, errors::InvalidArgument(&#34;SparseTensor must have rank 2 or 3; &#34;, &#34;but indices has rank: &#34;, rank)); auto dense_shape_vec = dense_shape.vec&lt;int64_t&gt;(); // ... OP_REQUIRES_OK( ctx, coo_to_csr(batch_size, num_rows, indices.template matrix&lt;int64_t&gt;(), batch_ptr.vec&lt;int32&gt;(), csr_row_ptr.vec&lt;int32&gt;(),…</p> https://cve.radiocsirt.org/vuln/ghsa-mg66-qvc5-rm93