CVE-ID |
CVE-2020-15193
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• CVSS Severity Rating • Fix Information • Vulnerable Software Versions • SCAP Mappings • CPE Information
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Description |
In Tensorflow before versions 2.2.1 and 2.3.1, 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_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
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References |
Note: References are provided for the convenience of the reader to help distinguish between vulnerabilities. The list is not intended to be complete.
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Assigning CNA |
GitHub (maintainer security advisories) |
Date Record Created |
20200625 |
Disclaimer: The record creation date may reflect when
the CVE ID was allocated or reserved, and does not
necessarily indicate when this vulnerability was
discovered, shared with the affected vendor, publicly
disclosed, or updated in CVE.
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Phase (Legacy) |
Assigned (20200625) |
Votes (Legacy) |
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Comments (Legacy) |
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Proposed (Legacy) |
N/A |
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