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    CVE-2020-26266

    In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

    Published:Dec 10, 2020
    Last Modified:Nov 21, 2024
    EPS:Dec 10, 2020
    EPSS Score:0.00051
    CVSS Score:4.4

    Affected Products

    Vendor
    Google
    Product
    Tensorflow

    Exploits

    https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2

    Common Weakness Enumeration

    CWE-908 Use of Uninitialized Resource

    Common Attack Pattern Enumeration and Classification (CAPEC)

    No CAPEC recorded yet

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    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