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


0.0
medium

Snyk CVSS

    Attack Complexity Low
    Availability High

    Threat Intelligence

    EPSS 0.05% (13th percentile)
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NVD
5.5 medium

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  • Snyk ID SNYK-PYTHON-TENSORFLOW-2841432
  • published 22 May 2022
  • disclosed 22 May 2022
  • credit Unknown

How to fix?

Upgrade tensorflow to version 2.8.1, 2.9.0 or higher.

Overview

tensorflow 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.