Out-of-bounds Read Affecting tensorflow-cpu package, versions [2.5.0,2.5.1) [2.4.0,2.4.3) [,2.3.4)
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Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOWCPU-1540724
- published 13 Aug 2021
- disclosed 13 Aug 2021
- credit Unknown
Introduced: 13 Aug 2021
CVE-2021-37679 Open this link in a new tabHow to fix?
Upgrade tensorflow-cpu to version 2.5.1, 2.4.3, 2.3.4 or higher.
Overview
tensorflow-cpu is a machine learning framework.
Affected versions of this package are vulnerable to Out-of-bounds Read. It is possible to nest a tf.map_fn within another tf.map_fn call. However, if the input tensor is a RaggedTensor and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap. The t and z outputs should be identical, however this is not the case. The last row of t contains data from the heap which can be used to leak other memory information. The bug lies in the conversion from a Variant tensor to a RaggedTensor. The implementation does not check that all inner shapes match and this results in the additional dimensions. The same implementation can result in data loss, if input tensor is tweaked.