PYSEC-2021-408

    Dashboard / Vulnerabilities / PYSEC-2021-408

    PYSEC-2021-408

    Published: 5 Nov 2021Last Modified: 6 Dec 2023

    Summary:

    Details: TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. 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/security/advisories/GHSA-3ff2-r28g-w7h9, https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14

    Affected packages

    Package

    Name: tensorflow

    Purl: pkg:pypi/tensorflow

    Affected ranges

    Type: GIT

    Events:

    Introduced- 0
    Fixed -c79ba87153ee343401dbe9d1954d7f79e521eb14

    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-2021-408 | CVE-DB