Out-of-bounds Write Affecting tensorflow package, versions [2.2.0, 2.2.1) [2.3.0, 2.3.1)


Severity

Recommended
0.0
high
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    EPSS
    0.26% (67th percentile)

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  • Snyk ID SNYK-PYTHON-TENSORFLOW-1013504
  • published 28 Sep 2020
  • disclosed 25 Sep 2020
  • credit Unknown

How to fix?

Upgrade tensorflow to version 2.2.1, 2.3.1 or higher.

Overview

tensorflow is a machine learning framework.

Affected versions of this package are vulnerable to Out-of-bounds Write. In TensorFlow Lite models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to segment_ids_data can alter output_index and then write to outside of output_data buffer.

This might result in a segmentation fault but it can also be used to further corrupt the memory and can be chained with other vulnerabilities to create more advanced exploits.

CVSS Scores

version 3.1
Expand this section

Snyk

Recommended
8.1 high
  • 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)
    High
Expand this section

NVD

8.6 high