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GHSA-x5cp-9pcf-pp3h

Denial of Service in Tensorflow

Source: GitHub Advisory Database (reviewed) High CVE-2020-15199

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow >= 2.3.0, < 2.3.1 2.3.1
PyPI tensorflow-cpu >= 2.3.0, < 2.3.1 2.3.1
PyPI tensorflow-gpu >= 2.3.0, < 2.3.1 2.3.1

Details

As written in the advisory (Markdown source, shown as plain text).

### 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: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L241-L244 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 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](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) 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](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4)

References

External links from the advisory. They lead to third-party sites.