BIT-tensorflow-2022-29213

    Dashboard / Vulnerabilities / BIT-tensorflow-2022-29213

    BIT-tensorflow-2022-29213

    Published: 6 Mar 2024Last Modified: 8 Sept 2026

    Summary: Incomplete validation in signal ops leads to crashes in TensorFlow

    Details: TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the `tf.compat.v1.signal.rfft2d` and `tf.compat.v1.signal.rfft3d` lack input validation and under certain condition can result in crashes (due to `CHECK`-failures). Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

    References: https://github.com/tensorflow/tensorflow/commit/0a8a781e597b18ead006d19b7d23d0a369e9ad73, https://github.com/tensorflow/tensorflow/issues/55263, https://github.com/tensorflow/tensorflow/pull/55274, https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4, https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2, https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1, https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5889-7v45-q28m, https://nvd.nist.gov/vuln/detail/CVE-2022-29213

    Affected packages

    Package

    Name: tensorflow

    Purl: pkg:bitnami/tensorflow

    Affected ranges

    Type: SEMVER

    Events:

    Introduced- 0
    Fixed -2.6.4

    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-2022-29213 | CVE-DB