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