Impact
The RaggedCountSparseOutput does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the splits tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure:
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int num_batches = splits.NumElements() - 1; |
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int num_values = values.NumElements(); |
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auto per_batch_counts = BatchedMap<W>(num_batches); |
Since BatchedMap is equivalent to a vector, it needs to have at least one element to not be nullptr. If user passes a splits tensor that is empty or has exactly one element, we get a SIGABRT signal raised by the operating system.
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
RaggedCountSparseOutputdoes not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that thesplitstensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure:tensorflow/tensorflow/core/kernels/count_ops.cc
Lines 241 to 244 in 0e68f4d
Since
BatchedMapis equivalent to a vector, it needs to have at least one element to not benullptr. If user passes asplitstensor that is empty or has exactly one element, we get aSIGABRTsignal raised by the operating system.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