PYSEC-2021-726

    Dashboard / Vulnerabilities / PYSEC-2021-726

    PYSEC-2021-726

    Published: 14 May 2021Last Modified: 6 Dec 2023

    Summary:

    Details: TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `OneHot` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/f61c57bd425878be108ec787f4d96390579fb83e/tensorflow/lite/kernels/one_hot.cc#L68-L72). An attacker can craft a model such that at least one of the dimensions of `indices` would be 0. In turn, the `prefix_dim_size` value would become 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

    References: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j8qh-3xrq-c825, https://github.com/tensorflow/tensorflow/commit/3ebedd7e345453d68e279cfc3e4072648e5e12e5

    Affected packages

    Package

    Name: tensorflow-gpu

    Purl: pkg:pypi/tensorflow-gpu

    Affected ranges

    Type: GIT

    Events:

    Introduced- 0
    Fixed -3ebedd7e345453d68e279cfc3e4072648e5e12e5

    Affected versions

    0.12.0
    0.12.1

    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
    PYSEC-2021-726 | CVE-DB