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41 lines
1.6 KiB
Markdown
41 lines
1.6 KiB
Markdown
## TFSA-2020-019: Crash due to invalid splits in SparseCountSparseOutput
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### CVE Number
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CVE-2020-15197
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### Impact
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The `SparseCountSparseOutput` implementation does not validate that the input
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arguments form a valid sparse tensor. In particular, there is no validation that
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the `indices` tensor has rank 2. This tensor must be a matrix because code
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assumes its elements are [accessed as elements of a
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matrix](https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L185):
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```cc
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const auto indices_values = indices.matrix<int64>();
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```
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However, malicious users can pass in tensors of different rank, resulting in a
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`CHECK` assertion failure and a crash. This can be used to cause denial of
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service in serving installations, if users are allowed to control the components
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of the input sparse tensor.
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### Vulnerable Versions
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TensorFlow 2.3.0.
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### Patches
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We have patched the issue in
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[3cbb917b4714766030b28eba9fb41bb97ce9ee02](https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02)
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and will release a patch release.
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We recommend users to upgrade to TensorFlow 2.3.1.
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### For more information
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Please consult [our security
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guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for
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more information regarding the security model and how to contact us with issues
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and questions.
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### Attribution
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This vulnerability has been discovered through a variant analysis of [a
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vulnerability reported by members of the Aivul Team from Qihoo
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360](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2020-015.md).
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