Improper Input Validation Affecting tensorflow-cpu package, versions [2.5.0,2.5.1) [2.4.0,2.4.3) [,2.3.4)


Severity

Recommended
0.0
high
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    EPSS
    0.04% (14th percentile)

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  • Snyk ID SNYK-PYTHON-TENSORFLOWCPU-1540747
  • published 13 Aug 2021
  • disclosed 13 Aug 2021
  • credit Unknown

How 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 Improper Input Validation. An attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empty tensors.

References

CVSS Scores

version 3.1
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Snyk

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

NVD

7.8 high