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


Severity

Recommended
0.0
high
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    EPSS
    0.04% (14th percentile)

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  • Snyk ID SNYK-PYTHON-TENSORFLOW-1540788
  • published 13 Aug 2021
  • disclosed 13 Aug 2021
  • credit Unknown

How to fix?

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

Overview

tensorflow 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

CVSS Scores

version 3.1
Expand this section

Snyk

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

NVD

7.8 high