Heap-based Buffer Overflow Affecting tensorflow-cpu package, versions [2.5.0,2.5.1) [2.4.0,2.4.3) [,2.3.4)


0.0
high

Snyk CVSS

    Attack Complexity Low
    Confidentiality High
    Integrity High
    Availability High

    Threat Intelligence

    EPSS 0.04% (12th percentile)
Expand this section
NVD
7.8 high

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  • Snyk ID SNYK-PYTHON-TENSORFLOWCPU-1540789
  • published 13 Aug 2021
  • disclosed 13 Aug 2021
  • credit Unknown

How to fix?

Upgrade tensorflow-cpu to version 2.5.1, 2.4.3, 2.3.4 or higher.

Overview

tensorflow-cpu is a machine learning framework.

Affected versions of this package are vulnerable to Heap-based Buffer Overflow. The implementation for tf.raw_ops.ExperimentalDatasetToTFRecord and tf.raw_ops.DatasetToTFRecord can trigger heap buffer overflow and segmentation fault. The implementation assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types.

References