Out-of-Bounds Affecting tensorflow 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-TENSORFLOW-1540818
  • published 13 Aug 2021
  • disclosed 13 Aug 2021
  • credit Unknown

How to fix?

Upgrade tensorflow to version 2.5.1, 2.4.3, 2.3.4 or higher.

Overview

tensorflow is a machine learning framework.

Affected versions of this package are vulnerable to Out-of-Bounds as the implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The implementation fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor.

References

CVSS Scores

version 3.1
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Snyk

Recommended
7.3 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)
    Low
  • Availability (A)
    High
Expand this section

NVD

7.1 high