CVE-2020-15199: Denial of Service in Tensorflow
(updated )
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.
References
- github.com/advisories/GHSA-x5cp-9pcf-pp3h
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-279.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-314.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-122.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02
- github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- github.com/tensorflow/tensorflow/security/advisories/GHSA-x5cp-9pcf-pp3h
- nvd.nist.gov/vuln/detail/CVE-2020-15199
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