Uninitialized Memory Exposure Affecting tensorflow-cpu package, versions [2.2.0, 2.2.1) [2.3.0, 2.3.1)
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Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOWCPU-1013559
- published 29 Sep 2020
- disclosed 28 Sep 2020
- credit Aivul Team from Qihoo 360
Introduced: 28 Sep 2020
CVE-2020-15193 Open this link in a new tabHow to fix?
Upgrade tensorflow-cpu to version 2.2.1, 2.3.1 or higher.
Overview
tensorflow-cpu is a machine learning framework.
Affected versions of this package are vulnerable to Uninitialized Memory Exposure. 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. However, there is nothing stopping users from passing in a Python object instead of a tensor.The uninitialized memory address is due to a reinterpret_castSince the PyObject is a Python object, not a TensorFlow Tensor, the cast to EagerTensor fails.