BIT-tensorflow-2020-15266

    Dashboard / Vulnerabilities / BIT-tensorflow-2020-15266

    BIT-tensorflow-2020-15266

    Published: 6 Mar 2024Last Modified: 8 Sept 2026

    Summary: Undefined behavior in Tensorflow

    Details: In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

    References: https://github.com/tensorflow/tensorflow/issues/42129, https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc, https://nvd.nist.gov/vuln/detail/CVE-2020-15266

    Affected packages

    Package

    Name: tensorflow

    Purl: pkg:bitnami/tensorflow

    Affected ranges

    Type: SEMVER

    Events:

    Introduced- 0
    Fixed -2.4.0

    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-2020-15266 | CVE-DB