PYSEC-2021-593

    Dashboard / Vulnerabilities / PYSEC-2021-593

    PYSEC-2021-593

    Published: 12 Aug 2021Last Modified: 6 Dec 2023

    Summary:

    Details: TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

    References: https://github.com/tensorflow/tensorflow/commit/718721986aa137691ee23f03638867151f74935f, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cfpj-3q4c-jhvr

    Affected packages

    Package

    Name: tensorflow-cpu

    Purl: pkg:pypi/tensorflow-cpu

    Affected ranges

    Type: GIT

    Events:

    Introduced- 0
    Fixed -718721986aa137691ee23f03638867151f74935f

    Affected versions

    2.3.0
    2.3.1
    2.3.2
    2.3.3

    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-2021-593 | CVE-DB