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TFSA-2020-018: Heap buffer overflow due to invalid indices in SparseCountSparseOutput

CVE Number

CVE-2020-15198

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:

    for (int idx = 0; idx < num_values; ++idx) {
      int batch = is_1d ? 0 : indices_values(idx, 0);
      const auto& value = values_values(idx);
      // ...
    }

Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers.

Vulnerable Versions

TensorFlow 2.3.0.

Patches

We have patched the issue in 3cbb917b4714766030b28eba9fb41bb97ce9ee02 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 has been discovered through a variant analysis of a vulnerability reported by members of the Aivul Team from Qihoo 360.