PYSEC-2021-389

    Dashboard / Vulnerabilities / PYSEC-2021-389

    PYSEC-2021-389

    Published: 5 Nov 2021Last Modified: 6 Dec 2023

    Summary:

    Details: TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    References: https://github.com/tensorflow/tensorflow/issues/51936, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8, https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8b

    Affected packages

    Package

    Name: tensorflow

    Purl: pkg:pypi/tensorflow

    Affected ranges

    Type: GIT

    Events:

    Introduced- 0
    Fixed -12b1ff82b3f26ff8de17e58703231d5a02ef1b8b

    Affected versions

    0.12.0
    0.12.1

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High
    PYSEC-2021-389 | CVE-DB