Heap-based Buffer Overflow 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
    0.2% (58th percentile)

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  • Snyk ID SNYK-PYTHON-TENSORFLOW-1013452
  • published 28 Sep 2020
  • disclosed 25 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 Heap-based Buffer Overflow. The SparseFillEmptyRowsGrad implementation has incomplete validation of the shapes of its arguments: Although reverse_index_map_t and grad_values_t are accessed in a similar pattern, only reverse_index_map_t is validated to be of proper shape. Hence, malicious users can pass a bad grad_values_t to trigger an assertion failure in vec, causing denial of service in serving installations. This vulnerability is a variant of CVE-2020-15195.

CVSS Scores

version 3.1
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Snyk

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

NVD

5.3 medium