Heap-based Buffer Overflow Affecting tensorflow-cpu package, versions [2.8.0,2.8.1) [2.9.0rc0,2.9.0)


Severity

Recommended
0.0
medium
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    EPSS
    0.05% (16th percentile)

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  • Snyk ID SNYK-PYTHON-TENSORFLOWCPU-2841433
  • published 22 May 2022
  • disclosed 22 May 2022
  • credit Unknown

How to fix?

Upgrade tensorflow-cpu to version 2.8.1, 2.9.0 or higher.

Overview

tensorflow-cpu is a machine learning framework.

Affected versions of this package are vulnerable to Heap-based Buffer Overflow. The TensorKey hash function used total estimated AllocatedBytes(), which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. int32_t). It also access individual tensor bytes through tensor.data() of size AllocatedBytes(). This behavior results in ASAN failures because the AllocatedBytes() is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the .data() buffer.

CVSS Scores

version 3.1
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Snyk

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

NVD

5.5 medium