Improper Input Validation Affecting tensorflow-gpu package, versions [0, 1.15.5) [2.0.0, 2.0.4) [2.1.0, 2.1.3) [2.2.0, 2.2.2) [2.3.0, 2.3.2) [2.4.0rc0, 2.4.0)
Snyk CVSS
Attack Complexity
High
Threat Intelligence
EPSS
0.09% (38th
percentile)
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Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOWGPU-1050384
- published 11 Dec 2020
- disclosed 10 Dec 2020
- credit Unknown
Introduced: 10 Dec 2020
CVE-2020-26266 Open this link in a new tabHow to fix?
Upgrade tensorflow-gpu to version 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, 2.4.0 or higher.
Overview
tensorflow-gpu is a machine learning framework.
Affected versions of this package are vulnerable to Improper Input Validation. Under certain cases, a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen.