BIT-tensorflow-2020-26266

    Dashboard / Vulnerabilities / BIT-tensorflow-2020-26266

    BIT-tensorflow-2020-26266

    Published: 6 Mar 2024Last Modified: 8 Sept 2026

    Summary: Uninitialized memory access in Eigen types in TensorFlow

    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, https://nvd.nist.gov/vuln/detail/CVE-2020-26266

    Affected packages

    Package

    Name: tensorflow

    Purl: pkg:bitnami/tensorflow

    Affected ranges

    Type: SEMVER

    Events:

    Introduced- 0
    Fixed -1.15.5

    Affected versions

    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
    BIT-tensorflow-2020-26266 | CVE-DB