CVE-2020-26266

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    CVE-2020-26266

    Published: 10 Dec 2020Last Modified: 7 Aug 2026

    Summary:

    Details: 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.

    References: https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2

    Affected packages

    Package

    Name:

    Purl:

    Affected ranges

    Type: GIT

    Events:

    Introduced- 0
    Fixed -3db52be7be81a87c623cdeb7f03d3767521c5246

    Affected versions

    v2.1.2
    v2.1.1
    v2.1.0

    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
    CVE-2020-26266 | CVE-DB