Insufficient Validation Affecting tensorflow-cpu package, versions [, 2.1.4) [2.2.0, 2.2.3) [2.3.0, 2.3.3) [2.4.0, 2.4.2)


Severity

Recommended
0.0
medium
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    EPSS
    0.09% (41st percentile)

Do your applications use this vulnerable package?

In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.

Test your applications
  • Snyk ID SNYK-PYTHON-TENSORFLOWCPU-1296509
  • published 24 May 2021
  • disclosed 21 May 2021
  • credit Unknown

How to fix?

Upgrade tensorflow-cpu to version 2.1.4, 2.2.3, 2.3.3, 2.4.2 or higher.

Overview

tensorflow-cpu is a machine learning framework.

Affected versions of this package are vulnerable to Insufficient Validation. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data.

References

CVSS Scores

version 3.1
Expand this section

Snyk

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

NVD

7.8 high