Impact
The SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has the same shape as the values one. The values in these tensors are always accessed in parallel:
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for (int idx = 0; idx < num_values; ++idx) { |
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int batch = is_1d ? 0 : indices_values(idx, 0); |
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const auto& value = values_values(idx); |
Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers.
Patches
We have patched the issue in 3cbb917 and will release a patch release.
We recommend users to upgrade to TensorFlow 2.3.1.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability is a variant of GHSA-p5f8-gfw5-33w4
Impact
The
SparseCountSparseOutputimplementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that theindicestensor has the same shape as thevaluesone. The values in these tensors are always accessed in parallel:tensorflow/tensorflow/core/kernels/count_ops.cc
Lines 193 to 195 in 0e68f4d
Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers.
Patches
We have patched the issue in 3cbb917 and will release a patch release.
We recommend users to upgrade to TensorFlow 2.3.1.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability is a variant of GHSA-p5f8-gfw5-33w4