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
high
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    EPSS
    0.21% (60th percentile)

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  • Snyk ID SNYK-PYTHON-TENSORFLOW-1013542
  • published 28 Sep 2020
  • disclosed 28 Sep 2020
  • credit Aivul Team from Qihoo 360

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 data_splits argument of tf.raw_ops.StringNGrams lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memoryIn the linked code snippet, all the binary strings after ee ff are contents from the memory stack.

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)
    High
  • Integrity (I)
    Low
  • Availability (A)
    Low
Expand this section

NVD

9.8 critical