STT-tensorflow/tfsa-2020-017.md at rename

Mihai Maruseac c06650b697 Fix rendering of security advisories.

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PiperOrigin-RevId: 333195707
Change-Id: I1e2fed8ff207fbfce6eb8fb2b910d12bcab4100c

2020-09-22 17:56:00 -07:00

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TFSA-2020-017: Abort due to invalid splits in RaggedCountSparseOutput

CVE Number

CVE-2020-15199

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:

    int num_batches = splits.NumElements() - 1;
    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.

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.

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