CVE-2020-15193: Memory corruption in Tensorflow
(updated )
The implementation of dlpack.to_dlpack can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/python/tfe_wrapper.cc#L1361
However, there is nothing stopping users from passing in a Python object instead of a tensor.
In [2]: tf.experimental.dlpack.to_dlpack([2])
==1720623==WARNING: MemorySanitizer: use-of-uninitialized-value
References
- github.com/advisories/GHSA-rjjg-hgv6-h69v
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-273.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-308.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-116.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8
- github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v
- nvd.nist.gov/vuln/detail/CVE-2020-15193
Code Behaviors & Features
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