NULL Pointer Dereference Affecting tensorflow package, versions [,1.15.4) [2.0.0, 2.0.3) [2.1.0, 2.1.2) [2.2.0, 2.2.1) [2.3.0, 2.3.1)


Severity

Recommended
0.0
medium
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    EPSS
    0.16% (53rd percentile)

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  • Snyk ID SNYK-PYTHON-TENSORFLOW-1013553
  • published 29 Sep 2020
  • disclosed 28 Sep 2020
  • credit Unknown

How to fix?

Upgrade tensorflow to version 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 or higher.

Overview

tensorflow is a machine learning framework.

Affected versions of this package are vulnerable to NULL Pointer Dereference. A crafted TFLite model can force a node to have as input a tensor backed by a nullptr buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one. The runtime assumes that these buffers are written to before a possible read, hence they are initialized with nullptr. However, by changing the buffer index for a tensor and implicitly converting that tensor to be a read-write one, as there is nothing in the model that writes to it, we get a null pointer dereference.

CVSS Scores

version 3.1
Expand this section

Snyk

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

NVD

5.9 medium