Heap-based Buffer Overflow Affecting tensorflow-cpu package, versions [2.3.0, 2.3.1)
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Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOWCPU-1013610
- published 29 Sep 2020
- disclosed 28 Sep 2020
- credit Unknown
Introduced: 28 Sep 2020
CVE-2020-15196 Open this link in a new tabHow to fix?
Upgrade tensorflow-cpu to version 2.3.1 or higher.
Overview
tensorflow-cpu is a machine learning framework.
Affected versions of this package are vulnerable to Heap-based Buffer Overflow. The SparseCountSparseOutput and RaggedCountSparseOutput implementations don't validate that the weights tensor has the same shape as the data. The check exists for DenseCountSparseOutput, where both tensors are fully specified.In the sparse and ragged count weights are still accessed in parallel with the data.But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights.