Out-of-Bounds Affecting tensorflow 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
low
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    EPSS
    0.05% (20th percentile)

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  • Snyk ID SNYK-PYTHON-TENSORFLOW-1296482
  • published 24 May 2021
  • disclosed 21 May 2021
  • credit Unknown

How to fix?

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

Overview

tensorflow is a machine learning framework.

Affected versions of this package are vulnerable to Out-of-Bounds due to heap out of bounds write in RaggedBinCount. If the splits argument of RaggedBincount does not specify a valid SparseTensor, then an attacker can trigger a heap buffer overflow.

References

CVSS Scores

version 3.1
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Snyk

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

NVD

7.8 high