Improper Input Validation Affecting tensorflow-cpu package, versions [0, 2.1.3) [2.2.0, 2.2.2) [2.3.0, 2.3.2) [2.4.0rc0, 2.4.0)


Severity

Recommended
0.0
medium
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    EPSS
    0.09% (40th percentile)

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  • Snyk ID SNYK-PYTHON-TENSORFLOWCPU-1050386
  • published 11 Dec 2020
  • disclosed 10 Dec 2020
  • credit Unknown

How to fix?

Upgrade tensorflow-cpu to version 2.1.3, 2.2.2, 2.3.2, 2.4.0 or higher.

Overview

tensorflow-cpu 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.

References

CVSS Scores

version 3.1
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Snyk

Recommended
4.8 medium
  • Attack Vector (AV)
    Network
  • Attack Complexity (AC)
    High
  • Privileges Required (PR)
    None
  • User Interaction (UI)
    None
  • Scope (S)
    Unchanged
  • Confidentiality (C)
    Low
  • Integrity (I)
    Low
  • Availability (A)
    None
Expand this section

NVD

5.3 medium