Improper Input Validation Affecting tensorflow-gpu package, versions [2.5.0,2.5.1) [2.4.0,2.4.3) [,2.3.4)
Snyk CVSS
Attack Complexity
Low
Confidentiality
High
Integrity
High
Threat Intelligence
EPSS
0.04% (12th
percentile)
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Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOWGPU-1540757
- published 13 Aug 2021
- disclosed 13 Aug 2021
- credit Unknown
Introduced: 13 Aug 2021
CVE-2021-37651 Open this link in a new tabHow to fix?
Upgrade tensorflow-gpu to version 2.5.1, 2.4.3, 2.3.4 or higher.
Overview
tensorflow-gpu is a machine learning framework.
Affected versions of this package are vulnerable to Improper Input Validation. The implementation for tf.raw_ops.FractionalAvgPoolGrad can be tricked into accessing data outside of bounds of heap allocated buffers. The implementation does not validate that the input tensor is non-empty. Thus, code constructs an empty EigenDoubleMatrixMap and then accesses this buffer with indices that are outside of the empty area.