Heap-based Buffer Overflow Affecting tensorflow-cpu package, versions [2.3.0, 2.3.1)


Severity

Recommended
0.0
medium
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    EPSS
    0.1% (42nd percentile)

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  • Snyk ID SNYK-PYTHON-TENSORFLOWCPU-1013613
  • published 29 Sep 2020
  • disclosed 28 Sep 2020
  • credit Unknown

How to fix?

Upgrade tensorflow-cpu to version 2.3.1 or higher.

Overview

tensorflow-cpu is a machine learning framework.

Affected versions of this package are vulnerable to Heap-based Buffer Overflow. The SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has the same shape as the values one. The values in these tensors are always accessed in parallel.Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers.

CVSS Scores

version 3.1
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Snyk

Recommended
5.4 medium
  • Attack Vector (AV)
    Network
  • Attack Complexity (AC)
    High
  • Privileges Required (PR)
    None
  • User Interaction (UI)
    None
  • Scope (S)
    Changed
  • Confidentiality (C)
    Low
  • Integrity (I)
    Low
  • Availability (A)
    None
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NVD

5.4 medium